M.C. Berchier

633 citations
26 papers · 479 indexed · h-index 14

M.C. Berchier

26 papers receiving 465 citations

Peers

M.C. Berchier
Comparison fields: 5 of 51
  • Oncology 363
  • Pulmonary and Respiratory Medicine 281
  • Epidemiology 161
  • Molecular Biology 132
  • Pathology and Forensic Medicine 33
Replace K. Hans with:
K. Hans Germany
MJ Matthews United States
H Karnicka-Młodkowska Poland
D. Skarlos Greece
Mitsuru Yoshino Japan
Isabel R. Preeshagul United States
Kamal Haider Canada
Matthew M. Rochefort United States
L. E. James United Kingdom
P. Mulvenna United Kingdom
M.C. Berchier relative to K. Hans Germany K. Hans's profile →
Citations per field
00.5×1.5×2.5×
K. Hans · 1×
Citations per year

Countries citing papers authored by M.C. Berchier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 200821
2 200720
3 20071
4 200710
5 200718
6 200522
7 200141
8
Prognostic factors analysis for response to chemotherapy and survival in a prospective cohort of patients with unresectable locoregional non small cell lung cancer initially treated by induction chemotherapy
19992
9 199920
10 199924
11 199824
12 199811
13
[Prognostic factors in advanced stage non-small cell bronchial cancer: experiences of the European Lung Cancer Working Party].
19979
14 199654
15 199624
16 199510
17 199428
18 19945
19 199361
20 199219

About M.C. Berchier

M.C. Berchier is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 26 papers that have together received 479 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (17 papers), Lung Cancer Diagnosis and Treatment (8 papers), Neuroendocrine Tumor Research Advances (6 papers), Cancer therapeutics and mechanisms (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oncology (363 citations), Pulmonary and Respiratory Medicine (281 citations) and Epidemiology (161 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, V. Giner, Jean Klášterský, P. Mommen, Marianne Paesmans, J Thiriaux, G Dabouis and J. Lecomte. 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.

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