Heiko Johnen
Impact in
- Rheumatology top 1%
- GDF15 and Related Biomarkers
- Physiology top 5%
- Nutrition and Health in Aging
- Adipose Tissue and Metabolism
Papers in
- Immunology 11
- Macrophage Migration Inhibitory Factor 6
- Immunotherapy and Immune Responses 4
- interferon and immune responses 1
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- GDF15 and Related Biomarkers 7
- Co-authors
- Samuel N. Breit (7 shared papers)David A. Brown (7 shared papers)Támara Kuffner (7 shared papers)Asne R. Bauskin (3 shared papers)Mark Hunter (2 shared papers)Vicky Wang-Wei Tsai (3 shared papers)Xiaohe Luo (1 shared paper)Herbert Herzog (2 shared papers)
- Journals
- PLoS ONE (3 papers)Cancer Research (2 papers)Growth Factors (1 paper)Cardiovascular Pathology (1 paper)Cancer Letters (1 paper)
- Partner nations
- AustraliaGermanySouth Korea
In The Last Decade
Heiko Johnen
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Rheumatology 834
- Physiology 668
- Immunology 497
- Cellular and Molecular Neuroscience 173
- Molecular Biology 291
Countries citing papers authored by Heiko Johnen
This map shows the geographic impact of Heiko Johnen'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 Heiko Johnen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Johnen more than expected).
Fields of papers citing papers by Heiko Johnen
This network shows the impact of papers produced by Heiko Johnen. 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 Heiko Johnen. The network helps show where Heiko Johnen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heiko Johnen, 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 | 2006 | 211 | |
| 2 | 2011 | 195 | |
| 3 | 2012 | 171 | |
| 4 | 2013 | 151 | |
| 5 | 2005 | 125 | |
| 6 | 2007 | 83 | |
| 7 | 2012 | 61 | |
| 8 | 2013 | 39 | |
| 9 | 2001 | 29 | |
| 10 | 2000 | 24 | |
| 11 | IL-1 receptor antagonist anakinra enhances tumour growth inhibition in mice receiving peptide vaccination and beta-(1-3),(1-6)-D-glucan. | 2010 | 15 |
| 12 | Natural killer cell line YT exerts cytotoxicity against CD86+ myeloma cells. | 2011 | 10 |
| 13 | The Role of Gadd45a in Suppression of Autoimmunity | 2009 | 1 |
| 14 | 2002 | 0 |
About Heiko Johnen
Heiko Johnen is a scholar working on Immunology, Rheumatology, Physiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (7 papers), Nutrition and Health in Aging (6 papers), Macrophage Migration Inhibitory Factor (6 papers), Immunotherapy and Immune Responses (4 papers), Nuclear Receptors and Signaling (2 papers), interferon and immune responses (1 paper), Signaling Pathways in Disease (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Rheumatology (834 citations), Physiology (668 citations), Immunology (497 citations), Cellular and Molecular Neuroscience (173 citations) and Molecular Biology (291 citations). Heiko Johnen has collaborated with scholars based in Australia, Germany and South Korea. Frequent co-authors include Samuel N. Breit, David A. Brown, Támara Kuffner, Asne R. Bauskin, Mark Hunter, Vicky Wang-Wei Tsai, Xiaohe Luo, Herbert Herzog, Laurence Macia and Shu Lin. Their work appears in journals such as PLoS ONE, Cancer Research, Growth Factors, Cardiovascular Pathology and Cancer Letters.
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.