Jens Eberlein

559 citations
17 papers · 439 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Diabetes and associated disorders

Papers in

    • T-cell and B-cell Immunology 11
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 7
    • Chemokine receptors and signaling 4
    • CAR-T cell therapy research 4

Jens Eberlein

15 papers receiving 429 citations

Peers

Jens Eberlein
Comparison fields: 5 of 66
  • Immunology 214
  • Genetics 90
  • Oncology 63
  • Endocrinology, Diabetes and Metabolism 32
  • Surgery 71
Replace Vy Nguyen with:
Vy Nguyen Vietnam
Minggao Guo China
Yiyu Zhang China
Jacqueline Miller United States
Margherita Squillario Italy
S Bregenholt Denmark
Ikbel Achour United States
Gabriel Skogberg Sweden
Jonathan M. Fishbein United States
Mengjun Zhang China
Jens Eberlein relative to Vy Nguyen Vietnam Vy Nguyen's profile →
Citations per field
00.5×10×17×
Vy Nguyen · 1×
Citations per year

Countries citing papers authored by Jens Eberlein

Since Specialization
Citations

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

Fields of papers citing papers by Jens Eberlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011120
2 200378
3 201055
4 202034
5 201332
6 200730
7 201126
8 201820
9 201619
10 20208
11 20138
12 20243
13 20193
14 20171
15 20161
16 20231
17 20220

About Jens Eberlein

Jens Eberlein is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Surgery, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (7 papers), Chemokine receptors and signaling (4 papers), CAR-T cell therapy research (4 papers), Mycobacterium research and diagnosis (2 papers), Molecular Biology Techniques and Applications (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Immunology (214 citations), Genetics (90 citations), Oncology (63 citations), Endocrinology, Diabetes and Metabolism (32 citations) and Surgery (71 citations). Jens Eberlein has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dirk Homann, Francisco Victorino, Tom Nguyen, Steven Hildemann, Bennett Davenport, Lawrence Hunter, Philip V. Ogren, Kevin Bretonnel Cohen, George K. Acquaah-Mensah and Jay A. Walters. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Journal of Clinical Investigation, Journal of Virology and Empirical Software Engineering.

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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