Gerald Assmann
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Otorhinolaryngology top 10%
Papers in
- Oncology 6
- Pancreatic and Hepatic Oncology Research 2
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- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Josef Mueller‐Hoecker (9 shared papers)Stefan Brunner (8 shared papers)Bruno C. Huber (7 shared papers)Wolfgang‐Michael Franz (6 shared papers)Marc‐Michael Zaruba (6 shared papers)Robert David (5 shared papers)Rebekka Fischer (5 shared papers)Rüdiger Wanke (3 shared papers)
- Journals
- The FASEB Journal (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Stem Cell Research (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gerald Assmann
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Genetics 170
- Otorhinolaryngology 42
- Oncology 259
- Hematology 100
- Endocrinology, Diabetes and Metabolism 134
Countries citing papers authored by Gerald Assmann
This map shows the geographic impact of Gerald Assmann'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 Gerald Assmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Assmann more than expected).
Fields of papers citing papers by Gerald Assmann
This network shows the impact of papers produced by Gerald Assmann. 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 Gerald Assmann. The network helps show where Gerald Assmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Assmann, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 266 | |
| 2 | 2006 | 140 | |
| 3 | 2011 | 99 | |
| 4 | 2008 | 78 | |
| 5 | 2009 | 77 | |
| 6 | 2007 | 59 | |
| 7 | 2016 | 57 | |
| 8 | 2008 | 54 | |
| 9 | 2012 | 51 | |
| 10 | 2011 | 39 | |
| 11 | 2013 | 37 | |
| 12 | 2014 | 33 | |
| 13 | 2008 | 30 | |
| 14 | 2010 | 30 | |
| 15 | 2012 | 29 | |
| 16 | 2009 | 24 | |
| 17 | 2015 | 24 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 13 | |
| 20 | 2002 | 10 |
About Gerald Assmann
Gerald Assmann is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Cancer Research, Genetics and Hematology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Protease and Inhibitor Mechanisms (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cardiac Imaging and Diagnostics (2 papers), Mesenchymal stem cell research (2 papers), Mast cells and histamine (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (170 citations), Otorhinolaryngology (42 citations), Oncology (259 citations), Hematology (100 citations) and Endocrinology, Diabetes and Metabolism (134 citations). Gerald Assmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Josef Mueller‐Hoecker, Stefan Brunner, Bruno C. Huber, Wolfgang‐Michael Franz, Marc‐Michael Zaruba, Robert David, Rebekka Fischer, Rüdiger Wanke, Nadja Herbach and Hans Diogenes Theiss. Their work appears in journals such as The FASEB Journal, Journal of Cancer Research and Clinical Oncology, Stem Cell Research, Journal of Cellular and Molecular Medicine and Molecular Cancer Research.
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.