Philippe Jamme

441 citations
22 papers · 256 · h-index 9

Impact in

Papers in

Philippe Jamme

21 papers receiving 255 citations

Peers

Philippe Jamme
Comparison fields: 5 of 30
  • Hepatology 84
  • Pulmonary and Respiratory Medicine 149
  • Oncology 110
  • Cancer Research 45
  • Pathology and Forensic Medicine 44
Replace Xuejing Aimee Wang with:
Xuejing Aimee Wang United States
Karin Berghoff Germany
Shiaowen David Hsu United States
Simon Baldacci France
Soheil Yala United States
Long-Zi Liu China
Wen-Son Hsieh United States
Jean-Claude Vedovato France
Xiao-Dong Zhu China
Yau H. Yu Hong Kong
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Citations per field
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Xuejing Aimee Wang · 1×
Citations per year

Countries citing papers authored by Philippe Jamme

Since Specialization
Citations

This map shows the geographic impact of Philippe Jamme's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philippe Jamme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Jamme more than expected).

Fields of papers citing papers by Philippe Jamme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Jamme. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philippe Jamme. The network helps show where Philippe Jamme may publish in the future.

Co-authors

The 25 scholars most cited alongside Philippe Jamme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Jamme Line = papers co-authored together Philippe Jamme links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 201842
3 201827
4 202122
5 201916
6 201914
7 202214
8 201513
9 202011
10 20168
11 20235
12 20184
13 20233
14 20233
15 20233
16 20213
17 20192
18 20242
19 20232
20 20251

About Philippe Jamme

Philippe Jamme is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Hepatology and Surgery, having authored 22 papers that have together received 256 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Liver physiology and pathology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Melanoma and MAPK Pathways (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hepatology (84 citations), Pulmonary and Respiratory Medicine (149 citations), Oncology (110 citations), Cancer Research (45 citations) and Pathology and Forensic Medicine (44 citations). Philippe Jamme has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Alexis B. Cortot, Zoulika Kherrouche, David Tulasne, Simon Baldacci, Marie‐Christine Copin, V. Grégoire, Marie Fernandes, Fabienne Escande, Matthieu Jamme and Laurent Mortier. Their work appears in journals such as Journal of Thoracic Oncology, Melanoma Research, Journal of Clinical Oncology, Oncogene and Annals of Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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