Michael Lehmann
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 10%
Papers in
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- Neurobiology and Insect Physiology Research 19
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- Genomics and Chromatin Dynamics 5
- Ubiquitin and proteasome pathways 3
- Heat shock proteins research 3
- Co-authors
- G. Korge (3 shared papers)Thomas Siegmund (2 shared papers)Günter Korge (4 shared papers)Kirst King‐Jones (4 shared papers)Jan Koolman (4 shared papers)Rupali Ugrankar (2 shared papers)Yanling Liu (2 shared papers)Yan‐Ling Liu (1 shared paper)
- Journals
- Development Genes and Evolution (3 papers)Molecular and Cellular Endocrinology (2 papers)The EMBO Journal (2 papers)Journal of Lipid Research (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Michael Lehmann
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 426
- Aging 37
- Insect Science 147
- Biochemistry 79
- Molecular Biology 636
Countries citing papers authored by Michael Lehmann
This map shows the geographic impact of Michael Lehmann'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 Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lehmann more than expected).
Fields of papers citing papers by Michael Lehmann
This network shows the impact of papers produced by Michael Lehmann. 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 Lehmann. The network helps show where Michael Lehmann may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael Lehmann, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 90 | |
| 2 | 2003 | 78 | |
| 3 | 1998 | 76 | |
| 4 | 2002 | 67 | |
| 5 | 1996 | 67 | |
| 6 | 2002 | 65 | |
| 7 | 1995 | 63 | |
| 8 | 1996 | 56 | |
| 9 | 1997 | 41 | |
| 10 | 2017 | 41 | |
| 11 | 2007 | 39 | |
| 12 | 2003 | 36 | |
| 13 | 1988 | 36 | |
| 14 | 2001 | 35 | |
| 15 | 2015 | 30 | |
| 16 | 1999 | 28 | |
| 17 | 1999 | 26 | |
| 18 | 1988 | 19 | |
| 19 | 2002 | 18 | |
| 20 | 2008 | 18 |
About Michael Lehmann
Michael Lehmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Biochemistry and Immunology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Lipid metabolism and biosynthesis (5 papers), Invertebrate Immune Response Mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), Insect Utilization and Effects (4 papers), Animal Behavior and Reproduction (4 papers), Ubiquitin and proteasome pathways (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (426 citations), Aging (37 citations), Insect Science (147 citations), Biochemistry (79 citations) and Molecular Biology (636 citations). Michael Lehmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include G. Korge, Thomas Siegmund, Günter Korge, Kirst King‐Jones, Jan Koolman, Rupali Ugrankar, Yanling Liu, Yan‐Ling Liu, Chike Cao and G. Adam. Their work appears in journals such as Development Genes and Evolution, Molecular and Cellular Endocrinology, The EMBO Journal, Journal of Lipid Research and Cell Death and Differentiation.
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.