Gérard Zalcman
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 5%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- B. MilleronFranck MorinPierre-Jean SouquetS. CouraudJean TrédanielThierry SoussiEmmanuel BergotRichard Lubin
- Topics
- Lung Cancer Treatments and Mutations (125 papers)Lung Cancer Diagnosis and Treatment (59 papers)Lung Cancer Research Studies (49 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Gérard Zalcman
275 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Oncology 3.5k
- Pulmonary and Respiratory Medicine 3.0k
- Molecular Biology 2.1k
- Cancer Research 890
- Immunology 678
Countries citing papers authored by Gérard Zalcman
This map shows the geographic impact of Gérard Zalcman'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 Gérard Zalcman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Zalcman more than expected).
Fields of papers citing papers by Gérard Zalcman
This network shows the impact of papers produced by Gérard Zalcman. 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 Gérard Zalcman. The network helps show where Gérard Zalcman may publish in the future.
Co-authorship network of co-authors of Gérard Zalcman
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Zalcman. A scholar is included among the top collaborators of Gérard Zalcman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gérard Zalcman. Gérard Zalcman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | Single-Cell Analysis Reveals Fibroblast Clusters Linked to Immunotherapy Resistance in Cancerbreakdown → | 554 |
| 10 | 15 | |
| 11 | 117 | |
| 12 | 90 | |
| 13 | 31 | |
| 14 | 0 | |
| 15 | 18 | |
| 16 | 46 | |
| 17 | 74 | |
| 18 | 166 | |
| 19 | Quel traitement pour un patient de PS-2/3 ayant un cancer bronchique non à petites cellules (CBNPC) de stade IV ? | 3 |
| 20 | 5 |
About Gérard Zalcman
Gérard Zalcman is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Biotechnology, having authored 299 papers that have together received 6.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (125 papers), Lung Cancer Diagnosis and Treatment (59 papers) and Lung Cancer Research Studies (49 papers). The work is most often cited by research in Oncology (3.5k citations), Pulmonary and Respiratory Medicine (3.0k citations) and Cancer Research (890 citations). Gérard Zalcman has collaborated with scholars based in France, United States and Italy. Frequent co-authors include B. Milleron, Franck Morin, Pierre-Jean Souquet, S. Couraud, Jean Trédaniel, Thierry Soussi, Emmanuel Bergot, Richard Lubin, Solenn Brosseau and V. Gounant. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical 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.