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Michèle Kind is an expert in Oncology at Institut Bergonié (France). Michèle Kind has authored 170 publications, the most recent in 2025. SLR score: 432 (community average: 125). How the SLR is computed.

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Michèle Kind Institut Bergonié France
432 ScienceLeadR Reputation 432

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Oncology

Subspecialties: Medical Imaging - Biochemistry - Public Health

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 1995 - 2025
Source: PubMed

Institut Bergonié

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 170

Citations

Citations: 4 548 1st author: 1 Last author: 30 Unique author: 1

Main journals

Ann Oncol 12
Bull Cancer 10
Eur J Radiol 10
J Clin Oncol 10
Diagn Interv Imaging 9

Best Journals

Ann Oncol 8
J Clin Oncol 6
Mol Cancer 3

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Reshaping the tumor microenvironment of cold soft-tissue sarcomas with anti-angiogenics: a phase 2 trial of regorafenib combined with avelumab.
PMID 40579407 — cells, cold temperature, neoplasms, sarcoma, signal transduction, therapeutics, tissues, tumor microenvironment		Signal Transduct Target Ther Top journal20250
Regorafenib plus avelumab in advanced gastroenteropancreatic neuroendocrine neoplasms: a phase 2 trial and correlative analysis.
PMID 40204996 — neoplasms, biomarkers, therapeutics		Nat Cancer20250
Baseline CT-derived tumor burden and liquid biopsy as biomarkers to predict survival in patients with metastatic solid cancer.
PMID 40484783 — neoplasms, biopsy, biomarkers, tumor burden, diagnostic imaging, wounds and injuries, liquid biopsy		Diagn Interv Imaging20255
[Recommendations from the group of bone tumors of the French Childhood Cancer Society and the French Sarcoma Group/Group for the Study of Bone Tumors].
PMID 40069010 — neoplasms, drug therapy, sarcoma, neoplasm metastasis, therapeutics, osteosarcoma, chemotherapy		Bull Cancer20250
The Role of Computed Tomography-Determined Total Tumor Volume at Baseline in Predicting Outcomes of Patients with Locally Advanced Unresectable or Metastatic Pancreatic Ductal Adenocarcinoma.
PMID 41514533 — tomography, neoplasms, adenocarcinoma, biomarkers, wounds and injuries, prognosis		Cancers (Basel)20250

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Sources: PubMed, OpenAlex, ClinicalTrials, EU CTIS