M. Beauduin

2.7k citations
70 papers · 1.2k · h-index 18

Impact in

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

Papers in

M. Beauduin

67 papers receiving 1.2k citations

Peers

M. Beauduin
Comparison fields: 5 of 85
  • Oncology 513
  • Cancer Research 181
  • Hematology 126
  • Radiation 97
  • Pulmonary and Respiratory Medicine 273
Replace Jaya Ghosh with:
Jaya Ghosh India
Akthar Shamsaldin France
T F Pajak United States
George Plataniotis Greece
Akmal Safwat Denmark
Torgil R. Möller Sweden
Daniel Shasha United States
Jennifer Wilkinson United Kingdom
İbrahim Güllü Türkiye
Marie‐Elisabeth Toubert France
M. Beauduin relative to Jaya Ghosh India Jaya Ghosh's profile →
Citations per field
00.5×3.6×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987159
2 2001119
3 200187
4
Clinical evidence for an engraftment syndrome associated with early and steep neutrophil recovery after autologous blood stem cell transplantation.
199673
5 199371
6 199160
7 199058
8 199348
9 200139
10 201529
11 201227
12 200127
13 199924
14 199723
15 200821
16 199321
17 200219
18 200318
19 199114
20 198914

About M. Beauduin

M. Beauduin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), Cancer Treatment and Pharmacology (12 papers), Estrogen and related hormone effects (7 papers), Nuclear Physics and Applications (6 papers), Radiation Therapy and Dosimetry (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer therapeutics and mechanisms (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (513 citations), Cancer Research (181 citations), Hematology (126 citations), Radiation (97 citations) and Pulmonary and Respiratory Medicine (273 citations). M. Beauduin has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include F. Majois, Yves Humblet, J Longueville, P. Weynants, A. Vindevoghel, André Wambersie, Martine Piccart, Michel Symann, André Bosly and Luc Delaunois. 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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