D. Verver

786 citations
26 papers · 479 · h-index 12

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Biophysics top 10%
    • Cell Image Analysis Techniques

Papers in

    • Cutaneous Melanoma Detection and Management 17
    • CAR-T cell therapy research 7
    • Nonmelanoma Skin Cancer Studies 8

D. Verver

24 papers receiving 475 citations

Peers

D. Verver
Comparison fields: 5 of 55
  • Oncology 355
  • Biophysics 28
  • Epidemiology 146
  • Dermatology 31
  • Obstetrics and Gynecology 22
Replace Damian Silbermins with:
Damian Silbermins United States
Cynthia Heffron Ireland
A. D. Chan United States
J.F. Baurain Belgium
Kalatu Davies United States
Samuel Bieligk United States
B.A.E. Kapteijn Netherlands
G. Martin Canada
Markwin G. Statius Muller Netherlands
Alison Uzieblo United States
D. Verver relative to Damian Silbermins United States Damian Silbermins's profile →
Citations per field
00.5×1.5×2.2×
Damian Silbermins · 1×
Citations per year

Countries citing papers authored by D. Verver

Since Specialization
Citations

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

Fields of papers citing papers by D. Verver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019138
2 201751
3 201843
4 202038
5 202027
6 201824
7 201924
8 201723
9 201520
10 202220
11 202013
12 201713
13 20178
14 20217
15 20186
16 20236
17 20195
18 20214
19 20193
20 20222

About D. Verver

D. Verver is a scholar working on Oncology, Epidemiology, Molecular Biology, Surgery and Immunology, having authored 26 papers that have together received 479 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Melanoma and MAPK Pathways (8 papers), Nonmelanoma Skin Cancer Studies (8 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (3 papers), Cell Image Analysis Techniques (2 papers), Breast Cancer Treatment Studies (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (355 citations), Biophysics (28 citations), Epidemiology (146 citations), Dermatology (31 citations) and Obstetrics and Gynecology (22 citations). D. Verver has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Cornelis Verhoef, Dirk J. Grünhagen, Alexander C. J. van Akkooi, Astrid A.M. van der Veldt, Shiromani Janki, Jan N.M. IJzermans, Ulrike Leiter, Claus Garbe, Rudolf Stadler and Tamar Nijsten. Their work appears in journals such as European Journal of Surgical Oncology, European Journal of Cancer, British journal of surgery, Liver International and Gynecologic 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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