Hans Dooms

2.8k citations
33 papers · 2.2k indexed · h-index 20

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 23
    • T-cell and B-cell Immunology 20
    • Immunotherapy and Immune Responses 6
    • Immune Response and Inflammation 3
    • Immune cells in cancer 2
    • CAR-T cell therapy research 5

Hans Dooms

32 papers receiving 2.2k citations

Peers

Hans Dooms
Comparison fields: 5 of 102
  • Immunology 1.7k
  • Transplantation 41
  • Oncology 303
  • Genetics 255
  • Immunology and Allergy 45
Replace M. Merle Elloso with:
M. Merle Elloso United States
Leszek Ignatowicz United States
Xiankui Zhang China
Fotini Paliogianni Greece
Hidetoshi Takedatsu Japan
Abdel Rahim A. Hamad United States
Natalia Martín‐Orozco United States
Olga Turovskaya United States
Yoshinaga Ito Japan
Mohini Gray United Kingdom
Hans Dooms relative to M. Merle Elloso United States M. Merle Elloso's profile →
Citations per field
00.5×1.5×
M. Merle Elloso · 1×
Citations per year

Countries citing papers authored by Hans Dooms

Since Specialization
Citations

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

Fields of papers citing papers by Hans Dooms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20231
3 202116
4 20212
5 202050
6 20193
7 20177
8 201754
9 201775
10 201372
11 201294
12 201127
13 201025
14 2009115
15 2007148
16 200658
17 200481
18 199984
19 19984
20 1998137

About Hans Dooms

Hans Dooms is a scholar working on Immunology, Oncology, Genetics, Parasitology and Epidemiology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (20 papers), Diabetes and associated disorders (6 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), Immune Response and Inflammation (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (1.7k citations), Transplantation (41 citations), Oncology (303 citations), Genetics (255 citations) and Immunology and Allergy (45 citations). Hans Dooms has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Abul K. Abbas, Lucy S. K. Walker, Anna Chodos, Mark Eggena, Katrina K. Hoyer, Luke Barron, Johan Grooten, Wilson Kuswanto, Walter Fiers and Kristen Wolslegel. Their work appears in journals such as The Journal of Immunology, PLoS ONE, The Journal of Experimental Medicine, Immunological Reviews and Mucosal Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026