Michael Hoch
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
Papers in
-
- Developmental Biology and Gene Regulation 23
- Connexins and lens biology 13
- Genomics and Chromatin Dynamics 9
- RNA Research and Splicing 6
- Cell Biology 13
- Hippo pathway signaling and YAP/TAZ 6
- Co-authors
- Herbert Jäckle (13 shared papers)Michael J. Pankratz (7 shared papers)Bernhard Fuß (10 shared papers)Reinhard Bauer (15 shared papers)Ingo Zinke (3 shared papers)Thomas Becker (3 shared papers)E. Seifert (2 shared papers)Corinna Lehmann (8 shared papers)
- Journals
- Mechanisms of Development (5 papers)Developmental Biology (5 papers)Development (5 papers)The EMBO Journal (5 papers)Cell Communication & Adhesion (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michael Hoch
66 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 110
- Aging 197
- Cell Biology 582
- Molecular Biology 2.4k
- Cellular and Molecular Neuroscience 628
- Immunology 454
Countries citing papers authored by Michael Hoch
This map shows the geographic impact of Michael Hoch'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 Hoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hoch more than expected).
Fields of papers citing papers by Michael Hoch
This network shows the impact of papers produced by Michael Hoch. 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 Hoch. The network helps show where Michael Hoch may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hoch, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 435 | |
| 2 | 2010 | 281 | |
| 3 | 2011 | 161 | |
| 4 | 1992 | 124 | |
| 5 | 1989 | 124 | |
| 6 | 2014 | 116 | |
| 7 | 2006 | 112 | |
| 8 | 2016 | 107 | |
| 9 | 1990 | 98 | |
| 10 | 1991 | 91 | |
| 11 | 2009 | 79 | |
| 12 | 2005 | 77 | |
| 13 | 1998 | 76 | |
| 14 | 2004 | 75 | |
| 15 | 1992 | 69 | |
| 16 | 1996 | 68 | |
| 17 | 2005 | 66 | |
| 18 | 1994 | 66 | |
| 19 | 1995 | 64 | |
| 20 | 2002 | 62 |
About Michael Hoch
Michael Hoch is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Paleontology, having authored 66 papers that have together received 3.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (23 papers), Connexins and lens biology (13 papers), Neurobiology and Insect Physiology Research (11 papers), Genomics and Chromatin Dynamics (9 papers), Invertebrate Immune Response Mechanisms (8 papers), Marine Invertebrate Physiology and Ecology (6 papers), RNA Research and Splicing (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). The work is most often cited by research in Aging (197 citations), Cell Biology (582 citations), Molecular Biology (2.4k citations), Cellular and Molecular Neuroscience (628 citations) and Immunology (454 citations). Michael Hoch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Herbert Jäckle, Michael J. Pankratz, Bernhard Fuß, Reinhard Bauer, Ingo Zinke, Thomas Becker, E. Seifert, Corinna Lehmann, Matthias Behr and Eveline Seifert. Their work appears in journals such as Mechanisms of Development, Developmental Biology, Development, The EMBO Journal and Cell Communication & Adhesion.
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.