M.C. Berchier
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Neutropenia and Cancer Infections
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Occupational and environmental lung diseases
- Pleural and Pulmonary Diseases
Papers in
-
- Lung Cancer Treatments and Mutations 15
- Lung Cancer Diagnosis and Treatment 8
- Oncology 17
- Lung Cancer Research Studies 14
- Co-authors
- G. Bureau (18 shared papers)Jean‐Paul Sculier (14 shared papers)O Van Cutsem (16 shared papers)Jean Klášterský (15 shared papers)P. Mommen (15 shared papers)Marianne Paesmans (15 shared papers)G Dabouis (8 shared papers)J Thiriaux (15 shared papers)
In The Last Decade
M.C. Berchier
26 papers receiving 475 citations
Peers
Comparison fields: 5 of 50
- Oncology 295
- Pulmonary and Respiratory Medicine 225
- Epidemiology 102
- Pathology and Forensic Medicine 26
- Molecular Biology 98
Countries citing papers authored by M.C. Berchier
This map shows the geographic impact of M.C. Berchier'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 M.C. Berchier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C. Berchier more than expected).
Fields of papers citing papers by M.C. Berchier
This network shows the impact of papers produced by M.C. Berchier. 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 M.C. Berchier. The network helps show where M.C. Berchier may publish in the future.
Co-authors
The 25 scholars most cited alongside M.C. Berchier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 64 | |
| 2 | 1996 | 57 | |
| 3 | 2001 | 48 | |
| 4 | 1994 | 39 | |
| 5 | 1994 | 29 | |
| 6 | 1998 | 25 | |
| 7 | 1996 | 24 | |
| 8 | 1999 | 24 | |
| 9 | 2005 | 22 | |
| 10 | 2008 | 21 | |
| 11 | 2007 | 20 | |
| 12 | 1999 | 20 | |
| 13 | 1992 | 19 | |
| 14 | 2007 | 18 | |
| 15 | 1998 | 12 | |
| 16 | 2007 | 10 | |
| 17 | 1995 | 10 | |
| 18 | [Prognostic factors in advanced stage non-small cell bronchial cancer: experiences of the European Lung Cancer Working Party]. | 1997 | 9 |
| 19 | 1994 | 7 | |
| 20 | 1994 | 5 |
About M.C. Berchier
M.C. Berchier is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 27 papers that have together received 495 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Lung Cancer Research Studies (14 papers), Lung Cancer Diagnosis and Treatment (8 papers), Neuroendocrine Tumor Research Advances (3 papers), Chemotherapy-induced organ toxicity mitigation (2 papers), Cancer therapeutics and mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (295 citations), Pulmonary and Respiratory Medicine (225 citations), Epidemiology (102 citations), Pathology and Forensic Medicine (26 citations) and Molecular Biology (98 citations). M.C. Berchier has collaborated with scholars based in Belgium, France and Greece. Frequent co-authors include G. Bureau, Jean‐Paul Sculier, O Van Cutsem, Jean Klášterský, P. Mommen, Marianne Paesmans, G Dabouis, J Thiriaux, J. Lecomte and J. Michel. Their work appears in journals such as Lung Cancer, Journal of Clinical Oncology, Annals of Oncology, European Journal of Cancer and British Journal of Cancer.
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.