Martin Fenner
Impact in
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- Scientific Computing and Data Management
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- scientometrics and bibliometrics research
Papers in
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- Research Data Management Practices 29
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- Scientific Computing and Data Management 29
- Co-authors
- Toshi Shioda (8 shared papers)Elena Elstner (6 shared papers)Kurt J. Isselbacher (6 shared papers)K. Possinger (3 shared papers)Jennifer Lin (7 shared papers)C. Zang (2 shared papers)Ed Pentz (2 shared papers)Laura Paglione (2 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Scandinavian Journal of Immunology (7 papers)Proceedings of the National Academy of Sciences (3 papers)European Journal of Cancer (3 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Fenner
122 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 165
- Information Systems and Management 218
- Statistics, Probability and Uncertainty 174
- Cancer Research 267
- Molecular Biology 986
- Information Systems 321
Countries citing papers authored by Martin Fenner
This map shows the geographic impact of Martin Fenner'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 Martin Fenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Fenner more than expected).
Fields of papers citing papers by Martin Fenner
This network shows the impact of papers produced by Martin Fenner. 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 Martin Fenner. The network helps show where Martin Fenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Fenner, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 198 | |
| 2 | 2012 | 178 | |
| 3 | 2003 | 144 | |
| 4 | 1993 | 111 | |
| 5 | 1998 | 105 | |
| 6 | 1996 | 80 | |
| 7 | 2002 | 75 | |
| 8 | 2005 | 75 | |
| 9 | 2011 | 72 | |
| 10 | 2013 | 71 | |
| 11 | 2013 | 57 | |
| 12 | 2006 | 57 | |
| 13 | 2003 | 53 | |
| 14 | 1997 | 51 | |
| 15 | 2019 | 48 | |
| 16 | 2012 | 43 | |
| 17 | 2013 | 42 | |
| 18 | 2011 | 37 | |
| 19 | 1983 | 36 | |
| 20 | 2003 | 36 |
About Martin Fenner
Martin Fenner is a scholar working on Information Systems, Information Systems and Management, Molecular Biology, Pulmonary and Respiratory Medicine and Management Science and Operations Research, having authored 200 papers that have together received 2.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (29 papers), Research Data Management Practices (29 papers), Data Quality and Management (17 papers), Renal cell carcinoma treatment (12 papers), T-cell and B-cell Immunology (9 papers), scientometrics and bibliometrics research (8 papers), Cancer Genomics and Diagnostics (7 papers) and Wikis in Education and Collaboration (7 papers). The work is most often cited by research in Information Systems and Management (218 citations), Statistics, Probability and Uncertainty (174 citations), Cancer Research (267 citations), Molecular Biology (986 citations) and Information Systems (321 citations). Martin Fenner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Toshi Shioda, Elena Elstner, Kurt J. Isselbacher, K. Possinger, Jennifer Lin, C. Zang, Ed Pentz, Laura Paglione, Haak Laurel and Hans Binz. Their work appears in journals such as Journal of Clinical Oncology, Scandinavian Journal of Immunology, Proceedings of the National Academy of Sciences, European Journal of Cancer and Breast Cancer Research and Treatment.
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.