M. Namer

7.8k citations
122 papers · 3.7k · h-index 29

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 1%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies

Papers in

    • Cancer Treatment and Pharmacology 40
    • HER2/EGFR in Cancer Research 25
    • Breast Cancer Treatment Studies 38

M. Namer

118 papers receiving 3.6k citations

Peers

M. Namer
Comparison fields: 5 of 106
  • Cancer Research 1.4k
  • Oncology 2.4k
  • Dermatology 278
  • Pulmonary and Respiratory Medicine 982
  • Genetics 612
Replace M. Bontenbal with:
M. Bontenbal Netherlands
Diana Crivellari Italy
G. Bonadonna Italy
D C Tormey United States
Robert Mennel United States
Vincent J. Picozzi United States
Aron Goldhirsch Italy
Gilles Romieu France
N. Tubiana-Mathieu France
J.-C. Gazet United Kingdom
M. Namer relative to M. Bontenbal Netherlands M. Bontenbal's profile →
Citations per field
00.5×1.5×2.0×
M. Bontenbal · 1×
Citations per year

Countries citing papers authored by M. Namer

Since Specialization
Citations

This map shows the geographic impact of M. Namer'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. Namer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Namer more than expected).

Fields of papers citing papers by M. Namer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Namer. 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. Namer. The network helps show where M. Namer may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Namer, 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. Namer Line = papers co-authored together M. Namer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996331
2 1993281
3 2008267
4 2003247
5 2002246
6 1997235
7 1990175
8 2002106
9 200390
10 198788
11 200887
12 201385
13 200581
14 200563
15 198960
16 200157
17 199052
18 200551
19 201045
20 200142

About M. Namer

M. Namer is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine, having authored 122 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (40 papers), Breast Cancer Treatment Studies (38 papers), HER2/EGFR in Cancer Research (25 papers), Estrogen and related hormone effects (21 papers), Advanced Breast Cancer Therapies (9 papers), Breast Lesions and Carcinomas (8 papers), Ovarian cancer diagnosis and treatment (7 papers) and Prostate Cancer Treatment and Research (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (2.4k citations), Dermatology (278 citations), Pulmonary and Respiratory Medicine (982 citations) and Genetics (612 citations). M. Namer has collaborated with scholars based in France, Italy and Belgium. Frequent co-authors include P. Fumoleau, Jacques Bonneterre, Pierre Kerbrat, Alain Monnier, G. Milano, M. Spielmann, T. Delozier, R. Largillier, Jean-­Marc Ferrero and P. Fargeot. Their work appears in journals such as Annals of Oncology, European Journal of Cancer, Journal of Clinical Oncology, British Journal of Cancer and Breast Cancer Research and Treatment.

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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