Jens Hukelmann
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 3
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
- Cancer-related gene regulation 2
- Immunology 11
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- Immune cells in cancer 2
- Co-authors
- Doreen A. Cantrell (11 shared papers)Linda V. Sinclair (8 shared papers)Angus I. Lamond (11 shared papers)David K. Finlay (3 shared papers)Alejandro J. Brenes (6 shared papers)Klaus Okkenhaug (3 shared papers)Julia Rolf (2 shared papers)Ella Rosenzweig (2 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)eLife (2 papers)Nature Immunology (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- United KingdomIrelandGermany
In The Last Decade
Jens Hukelmann
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Immunology 980
- Cancer Research 305
- Oncology 337
- Biological Psychiatry 30
- Molecular Biology 694
Countries citing papers authored by Jens Hukelmann
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 471 | |
| 2 | 2018 | 300 | |
| 3 | 2015 | 170 | |
| 4 | 2019 | 166 | |
| 5 | 2019 | 147 | |
| 6 | 2019 | 131 | |
| 7 | 2015 | 128 | |
| 8 | 2017 | 37 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2017 | 22 | |
| 12 | 2014 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2019 | 1 |
About Jens Hukelmann
Jens Hukelmann is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Biochemistry, having authored 20 papers that have together received 1.7k 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), Ubiquitin and proteasome pathways (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer-related gene regulation (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (980 citations), Cancer Research (305 citations), Oncology (337 citations), Biological Psychiatry (30 citations) and Molecular Biology (694 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, Julia Rolf, Ella Rosenzweig, Andrey A. Panteleyev and Carmen Feijoo‐Carnero. Their work appears in journals such as Nature Communications, Cell Reports, eLife, Nature Immunology and Molecular & Cellular Proteomics.
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.