Jens Eberlein

546 citations
16 papers · 408 · 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 10
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 7
    • CAR-T cell therapy research 4
    • Chemokine receptors and signaling 4

Jens Eberlein

14 papers receiving 401 citations

Peers

Jens Eberlein
Comparison fields: 5 of 65
  • Immunology 224
  • Genetics 89
  • Oncology 63
  • Endocrinology, Diabetes and Metabolism 35
  • Surgery 74
Replace Alexander Tong with:
Alexander Tong United States
Ikbel Achour United States
Mengjun Zhang China
Gabriel Skogberg Sweden
Yiyu Zhang China
Jacqueline Miller United States
Seraya Maouche Germany
Maher Kharrat Tunisia
Wanyuan Chen China
S Bregenholt Denmark
Jens Eberlein relative to Alexander Tong United States Alexander Tong's profile →
Citations per field
00.5×6.3×
Alexander Tong · 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

16 of 16 papers shown
#Work
1 2011112
2 200368
3 201054
4 201332
5 200730
6 202030
7 201125
8 201819
9 201618
10 20137
11 20207
12 20193
13 20231
14 20241
15 20171
16 20220

About Jens Eberlein

Jens Eberlein is a scholar working on Immunology, Oncology, Molecular Biology, Surgery and Information Systems, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (4 papers), Chemokine receptors and signaling (4 papers), Pancreatic function and diabetes (1 paper), Single-cell and spatial transcriptomics (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (224 citations), Genetics (89 citations), Oncology (63 citations), Endocrinology, Diabetes and Metabolism (35 citations) and Surgery (74 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 Suparna A. Sarkar. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, PLoS ONE, PLoS Pathogens and Diabetes.

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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