Michael Hecker
Impact in
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- Multiple Sclerosis Research Studies
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Multiple Sclerosis Research Studies 45
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- RNA Interference and Gene Delivery 5
- RNA Research and Splicing 5
- Co-authors
- Uwe K. Zettl (67 shared papers)Reinhard Guthke (4 shared papers)Susanne Toepfer (1 shared paper)Eugene van Someren (1 shared paper)Dirk Koczan (22 shared papers)Brit Fitzner (22 shared papers)Niklas Frahm (16 shared papers)Hans‐Jürgen Thiesen (12 shared papers)
- Journals
- Molecular Neurobiology (4 papers)Autoimmunity Reviews (4 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (4 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Michael Hecker
73 papers receiving 2.3k citations
Michael Hecker's Hit Papers
Peers
Comparison fields: 5 of 138
- Pathology and Forensic Medicine 647
- Cancer Research 315
- Molecular Biology 1.1k
- Immunology 314
- Rheumatology 199
Countries citing papers authored by Michael Hecker
This map shows the geographic impact of Michael Hecker'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 Michael Hecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hecker more than expected).
Fields of papers citing papers by Michael Hecker
This network shows the impact of papers produced by Michael Hecker. 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 Michael Hecker. The network helps show where Michael Hecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hecker, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene regulatory network inference: Data integration in dynamic models—A review Hit paper breakdown → | 2008 | 564 |
| 2 | 2013 | 109 | |
| 3 | 2008 | 100 | |
| 4 | 2011 | 91 | |
| 5 | 2016 | 68 | |
| 6 | 2014 | 64 | |
| 7 | 2018 | 62 | |
| 8 | 2019 | 60 | |
| 9 | 2016 | 57 | |
| 10 | 2015 | 52 | |
| 11 | 2012 | 48 | |
| 12 | 2012 | 45 | |
| 13 | 2015 | 43 | |
| 14 | 2020 | 40 | |
| 15 | 2010 | 38 | |
| 16 | 2011 | 38 | |
| 17 | 2010 | 37 | |
| 18 | 2013 | 34 | |
| 19 | 2018 | 34 | |
| 20 | 2021 | 33 |
About Michael Hecker
Michael Hecker is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Immunology, Neurology and Rheumatology, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (45 papers), Peripheral Neuropathies and Disorders (10 papers), MicroRNA in disease regulation (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), RNA Interference and Gene Delivery (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (647 citations), Cancer Research (315 citations), Molecular Biology (1.1k citations), Immunology (314 citations) and Rheumatology (199 citations). Michael Hecker has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Uwe K. Zettl, Reinhard Guthke, Susanne Toepfer, Eugene van Someren, Dirk Koczan, Brit Fitzner, Niklas Frahm, Hans‐Jürgen Thiesen, Brigitte Katrin Paap and Madhan Thamilarasan. Their work appears in journals such as Molecular Neurobiology, Autoimmunity Reviews, Scientific Reports, International Journal of Molecular Sciences and PLoS ONE.
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.