M Weil

1.5k citations
69 papers · 1.1k · h-index 16

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

M Weil

65 papers receiving 996 citations

Peers

M Weil
Comparison fields: 5 of 71
  • Hematology 353
  • Genetics 186
  • Oncology 408
  • Public Health, Environmental and Occupational Health 369
  • Pathology and Forensic Medicine 198
Replace Jens Ersbøll with:
Jens Ersbøll Denmark
F. R. Appelbaum United States
John D. Bonnet United States
R. Pieters Netherlands
B. Lathan Germany
Henderson Es United States
W. Plunkett United States
H Kantarjian United States
WJ Miller United States
Joanne Lager United States
M Weil relative to Jens Ersbøll Denmark Jens Ersbøll's profile →
Citations per field
00.5×1.5×2.0×
Jens Ersbøll · 1×
Citations per year

Countries citing papers authored by M Weil

Since Specialization
Citations

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

Fields of papers citing papers by M Weil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990176
2 1983130
3 196983
4
Combination therapy in 130 patients with acute lymphoblastic leukemia (protocol 06 LA 66-Paris).
197367
5 198863
6 197963
7 198458
8 197643
9 199339
10 197638
11 198033
12 196630
13
[Trial of treatment of acute lymphoblastic and myeloblastic leukemias by a new antibiotic: rubidomycin (RP 13,057). Study of 61 cases].
196723
14 197821
15 198820
16 198620
17 196914
18
[Treatment of Hodgkin's disease by polychemotherapy combining nitrogen mustard, vincristine, methylhydrazine and prednisone].
196712
19 199410
20
Prognostic factors in chronic granulocytic leukemia. A study of 798 cases.
197810

About M Weil

M Weil is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Molecular Biology and Genetics, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (24 papers), Acute Myeloid Leukemia Research (17 papers), Cancer Treatment and Pharmacology (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (7 papers), Cancer therapeutics and mechanisms (7 papers), Breast Cancer Treatment Studies (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Hematology (353 citations), Genetics (186 citations), Oncology (408 citations), Public Health, Environmental and Occupational Health (369 citations) and Pathology and Forensic Medicine (198 citations). M Weil has collaborated with scholars based in France, United States and Austria. Frequent co-authors include M Boiron, C Jacquillat, G Auclerc, J Bernard, Jean Bernard, D. Khayat, J Tanzer, C Jacquillat, Marie-Françoise Auclerc and Y Najean. Their work appears in journals such as Cancer, Cancer Chemotherapy and Pharmacology, Recent results in cancer research, European Journal of Cancer and The Lancet.

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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