Rosa de Groot

2.0k citations
26 papers · 708 · h-index 14

Impact in

Papers in

    • CAR-T cell therapy research 7
    • Cancer Immunotherapy and Biomarkers 3
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4

Rosa de Groot

24 papers receiving 676 citations

Peers

Rosa de Groot
Comparison fields: 5 of 83
  • Obstetrics and Gynecology 74
  • Microbiology 61
  • Immunology 180
  • Oncology 207
  • Cancer Research 97
Replace Eliano Cascardi with:
Eliano Cascardi Italy
Rafał Watrowski Germany
Mark Sarno United States
Patrick T. Bruck Germany
Ceylan Eken Switzerland
Doroti Pirulli Italy
David Wallach United States
Luisa Gennero Italy
Xiaoli Yang China
John B. Liao United States
Rosa de Groot relative to Eliano Cascardi Italy Eliano Cascardi's profile →
Citations per field
00.5×
Eliano Cascardi · 1×
Citations per year

Countries citing papers authored by Rosa de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Rosa de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa de Groot. 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 Rosa de Groot. The network helps show where Rosa de Groot may publish in the future.

Co-authors

The 25 scholars most cited alongside Rosa de Groot, 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 Rosa de Groot Line = papers co-authored together Rosa de Groot 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 2020175
2 201887
3 199674
4 199649
5 201143
6 201940
7 201138
8
Type B lactic acidosis in solid malignancies.
201137
9 201335
10 202330
11 201921
12 200720
13 201219
14 202117
15 20224
16 19944
17
[Fever of unknown origin in a young child: diagnosis and treatment].
19994
18 20062
19 20242
20 20242

About Rosa de Groot

Rosa de Groot is a scholar working on Oncology, Immunology, General Health Professions, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 708 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Streptococcal Infections and Treatments (2 papers), Bacterial Infections and Vaccines (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (74 citations), Microbiology (61 citations), Immunology (180 citations), Oncology (207 citations) and Cancer Research (97 citations). Rosa de Groot has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Yvonne Kuipers, AnneLoes van Staa, Koen J. Hartemink, Monika C. Wolkers, Kim Monkhorst, Emile E. Voest, Egbert F. Smit, Krijn K. Dijkstra, Hans Clevers and Luuk J. Schipper. Their work appears in journals such as OncoImmunology, Blood, The Journal of Infectious Diseases, Life Science Alliance and The Journal of 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