B Leeneman

430 citations
16 papers · 158 · h-index 6

Impact in

    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Skin Protection and Aging

Papers in

    • Cutaneous Melanoma Detection and Management 11
    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2
    • Health Systems, Economic Evaluations, Quality of Life 9

B Leeneman

14 papers receiving 155 citations

Peers

B Leeneman
Comparison fields: 5 of 54
  • Oncology 110
  • Dermatology 20
  • Immunology 19
  • Cancer Research 12
  • Economics and Econometrics 21
Replace Ana Maria Fagundes Sortino with:
Ana Maria Fagundes Sortino Brazil
Diego Enrico Argentina
Carlos Aguado Spain
Jorge Dunstan Peru
Christof Weitzel Germany
Laurien J. Zeverijn Netherlands
Jennifer Keller United States
Philip Tsau Choong Iau Singapore
Corey Ritchings United States
Michal Kiciński Belgium
B Leeneman relative to Ana Maria Fagundes Sortino Brazil Ana Maria Fagundes Sortino's profile →
Citations per field
00.5×3.8×
Ana Maria Fagundes Sortino · 1×
Citations per year

Countries citing papers authored by B Leeneman

Since Specialization
Citations

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

Fields of papers citing papers by B Leeneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201931
2 201631
3 202127
4 202121
5 201921
6 202012
7 20154
8 20213
9 20152
10 20182
11 20241
12 20231
13 20171
14 20241
15 20250
16 20240

About B Leeneman

B Leeneman is a scholar working on Oncology, Economics and Econometrics, Molecular Biology, Dermatology and Computational Theory and Mathematics, having authored 16 papers that have together received 158 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (11 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Melanoma and MAPK Pathways (3 papers), CAR-T cell therapy research (3 papers), Computational Drug Discovery Methods (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Oncology (110 citations), Dermatology (20 citations), Immunology (19 citations), Cancer Research (12 citations) and Economics and Econometrics (21 citations). B Leeneman has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include M Franken, Carin A. Uyl‐de Groot, John B.A.G. Haanen, Michel W.J.M. Wouters, Hedwig M. Blommestein, Pieter van Baal, Alexander C. J. van Akkooi, Jacobus J. M. van der Hoeven, Hans M. Westgeest and K. Schreuder. Their work appears in journals such as European Journal of Cancer, Value in Health, Cancers, Melanoma Research and European Journal Of Haematology.

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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