F. Trepel

921 citations
58 papers · 718 · h-index 14

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotoxicology and immune responses
    • Chronic Lymphocytic Leukemia Research

Papers in

F. Trepel

50 papers receiving 594 citations

Peers

F. Trepel
Comparison fields: 5 of 58
  • Immunology 348
  • Genetics 53
  • Virology 22
  • Pathology and Forensic Medicine 74
  • Immunology and Allergy 20
Replace Ian Beckman with:
Ian Beckman Australia
M H Brown United Kingdom
Mitsuro Tsudo United States
Mark W. Brunvand United States
M Naiem United Arab Emirates
T Umiel Israel
K B Elkon United States
J Fujimoto Japan
R Andreesen Germany
MF Gourdin France
F. Trepel relative to Ian Beckman Australia Ian Beckman's profile →
Citations per field
00.5×2×3×4×4.8×
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Citations per year

Countries citing papers authored by F. Trepel

Since Specialization
Citations

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

Fields of papers citing papers by F. Trepel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974190
2 197970
3 197359
4 197532
5 197632
6 197530
7 197321
8 196820
9
Separation of human lymphocytes by free-flow electrophoresis.
197319
10 197619
11 197719
12 197517
13 197515
14 197414
15 197914
16
[Nucleic acid synthesis and cytostatic drug effect in pathological lymph node cells].
196613
17 196710
18 197810
19 19779
20 19758

About F. Trepel

F. Trepel is a scholar working on Immunology, Pathology and Forensic Medicine, Hematology, Transplantation and Oncology, having authored 58 papers that have together received 718 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (23 papers), Immunotoxicology and immune responses (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Heart Failure Treatment and Management (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lymphatic System and Diseases (3 papers) and Organ and Tissue Transplantation Research (3 papers). The work is most often cited by research in Immunology (348 citations), Genetics (53 citations), Virology (22 citations), Pathology and Forensic Medicine (74 citations) and Immunology and Allergy (20 citations). F. Trepel has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Reinhard Pabst, Herbert Begemann, Peter M. Schick, H. Theml, Reinhard Pabst, Dieter Ludwig Munz, Theodor M. Fliedner, J. A. Woerd-de Lange, Junji Kimura and Johann Rastetter. Their work appears in journals such as Annals of Hematology, Journal of Molecular Medicine, Acta Haematologica, Cell Proliferation and Blood.

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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