M. Beauduin

2.7k citations
74 papers · 1.3k · h-index 18

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Breast Cancer Treatment Studies

Papers in

M. Beauduin

69 papers receiving 1.2k citations

Peers

M. Beauduin
Comparison fields: 5 of 87
  • Oncology 537
  • Cancer Research 196
  • Hematology 132
  • Radiation 105
  • Pulmonary and Respiratory Medicine 298
Replace Jaya Ghosh with:
Jaya Ghosh India
Rita E. Weathers United States
Akthar Shamsaldin France
D. Cowen France
George Plataniotis Greece
Torgil R. Möller Sweden
Jennifer Wilkinson United Kingdom
Akmal Safwat Denmark
İbrahim Güllü Türkiye
Marie‐Elisabeth Toubert France
M. Beauduin relative to Jaya Ghosh India Jaya Ghosh's profile →
Citations per field
00.5×3.9×
Jaya Ghosh · 1×
Citations per year

Countries citing papers authored by M. Beauduin

Since Specialization
Citations

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

Fields of papers citing papers by M. Beauduin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987171
2 2001124
3 200188
4 199379
5
Clinical evidence for an engraftment syndrome associated with early and steep neutrophil recovery after autologous blood stem cell transplantation.
199676
6 199063
7 199163
8 199352
9 200140
10 201530
11 201228
12 200127
13 199724
14 199324
15 199924
16 200222
17 200821
18 200319
19 198915
20 199114

About M. Beauduin

M. Beauduin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Cancer Treatment and Pharmacology (12 papers), Estrogen and related hormone effects (8 papers), Nuclear Physics and Applications (6 papers), Radiation Therapy and Dosimetry (5 papers), HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Oncology (537 citations), Cancer Research (196 citations), Hematology (132 citations), Radiation (105 citations) and Pulmonary and Respiratory Medicine (298 citations). M. Beauduin has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include F. Majois, Yves Humblet, J Longueville, P. Weynants, A. Vindevoghel, André Wambersie, Michel Symann, Martine Piccart, Luc Delaunois and Chantal Doyen. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Radiation Research, Radiotherapy and Oncology and Annals of 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.

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