Jan Hegermann
Impact in
Papers in
- Cell Biology 19
- Cellular transport and secretion 10
- Endoplasmic Reticulum Stress and Disease 5
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Stefan Eimer (14 shared papers)Christoph Wrede (26 shared papers)Matthias Ochs (17 shared papers)Christian Haass (2 shared papers)Konstanze F. Winklhofer (1 shared paper)A. Kathrin Lutz (1 shared paper)Armin Giese (1 shared paper)Nicole Exner (1 shared paper)
- Journals
- Histochemistry and Cell Biology (5 papers)The Journal of Cell Biology (4 papers)Development (4 papers)PLoS ONE (4 papers)Microbiology (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jan Hegermann
100 papers receiving 3.6k citations
Jan Hegermann's Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 216
- Neurology 477
- Cell Biology 535
- Microbiology 147
- Molecular Biology 1.6k
Countries citing papers authored by Jan Hegermann
This map shows the geographic impact of Jan Hegermann'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 Jan Hegermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hegermann more than expected).
Fields of papers citing papers by Jan Hegermann
This network shows the impact of papers produced by Jan Hegermann. 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 Jan Hegermann. The network helps show where Jan Hegermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Hegermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 409 | |
| 2 | Human heart-forming organoids recapitulate early heart and foregut development Hit paper breakdown → | 2021 | 318 |
| 3 | 2009 | 160 | |
| 4 | 2012 | 156 | |
| 5 | 2011 | 148 | |
| 6 | 2012 | 134 | |
| 7 | 2013 | 132 | |
| 8 | 2014 | 99 | |
| 9 | 2015 | 84 | |
| 10 | 2001 | 78 | |
| 11 | 2009 | 74 | |
| 12 | 2018 | 68 | |
| 13 | 2009 | 66 | |
| 14 | 2014 | 61 | |
| 15 | 2002 | 59 | |
| 16 | 2013 | 56 | |
| 17 | 2022 | 48 | |
| 18 | 2013 | 47 | |
| 19 | 2020 | 45 | |
| 20 | 2020 | 45 |
About Jan Hegermann
Jan Hegermann is a scholar working on Cell Biology, Aging, Molecular Biology, Pulmonary and Respiratory Medicine and Microbiology, having authored 106 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (13 papers), Renal and related cancers (10 papers), Cellular transport and secretion (10 papers), Genetic and Kidney Cyst Diseases (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Mitochondrial Function and Pathology (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Aging (216 citations), Neurology (477 citations), Cell Biology (535 citations), Microbiology (147 citations) and Molecular Biology (1.6k citations). Jan Hegermann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Stefan Eimer, Christoph Wrede, Matthias Ochs, Christian Haass, Konstanze F. Winklhofer, A. Kathrin Lutz, Armin Giese, Nicole Exner, Frank Mayer and Richard Herrmann. Their work appears in journals such as Histochemistry and Cell Biology, The Journal of Cell Biology, Development, PLoS ONE and Microbiology.
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.