Jens Hukelmann

2.6k citations
20 papers · 1.6k indexed · h-index 14

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 8
    • Amino Acid Enzymes and Metabolism 2

Jens Hukelmann

19 papers receiving 1.6k citations

Peers

Jens Hukelmann
Comparison fields: 5 of 97
  • Immunology 1.0k
  • Cancer Research 312
  • Biological Psychiatry 33
  • Oncology 350
  • Molecular Biology 720
Replace Victoria C. Pham with:
Victoria C. Pham United States
Eva Dazert Switzerland
Yao-Chen Tsui United States
Deborah H. Lundgren United States
Constanze Wiek Germany
Laura Tamblyn Canada
Vitaly Sedlyarov Austria
Anne Quillet‐Mary France
Amin A. Momin United States
Diana M. Lopez United States
Jens Hukelmann relative to Victoria C. Pham United States Victoria C. Pham's profile →
Citations per field
00.5×1.5×2.5×
Victoria C. Pham · 1×
Citations per year

Countries citing papers authored by Jens Hukelmann

Since Specialization
Citations

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

Fields of papers citing papers by Jens Hukelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202313
3 20224
4 202114
5 202126
6 202013
7 20201
8 202026
9 2019161
10 2019141
11 2019122
12 20190
13 2018290
14 201736
15 201721
16 2015168
17 2015126
18 201415
19 2012465
20 20121

About Jens Hukelmann

Jens Hukelmann is a scholar working on Immunology, Biochemistry, Physiology, Molecular Biology and Cancer Research, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Epigenetics and DNA Methylation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Amino Acid Enzymes and Metabolism (2 papers), CAR-T cell therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (312 citations), Biological Psychiatry (33 citations), Oncology (350 citations) and Molecular Biology (720 citations). Jens Hukelmann has collaborated with scholars based in United Kingdom, Ireland and Germany. Frequent co-authors include Doreen A. Cantrell, Linda V. Sinclair, Angus I. Lamond, David K. Finlay, Alejandro J. Brenes, Klaus Okkenhaug, Ella Rosenzweig, Carmen Feijoo‐Carnero, Andrey A. Panteleyev and Julia Rolf. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, Cell Reports, Nature Immunology and eLife.

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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