Michael Nehls
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- DNA Repair Mechanisms
- Congenital heart defects research
Papers in
- Aging 1
-
- Antimicrobial Peptides and Activities 3
- Co-authors
- Thomas BoehmJudith HaendelerStefanie DimmelerAndreas M. ZeiherSigrid WattlerMichael SchorppDietmar PfeiferHans J. Hedrich
- Journals
- Genomics (6 papers)Molecular and Cellular Biology (4 papers)Trends in Genetics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michael Nehls
52 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 1.1k
- Molecular Biology 2.9k
- Microbiology 222
- Cellular and Molecular Neuroscience 501
- Cell Biology 440
Countries citing papers authored by Michael Nehls
This map shows the geographic impact of Michael Nehls'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 Nehls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nehls more than expected).
Fields of papers citing papers by Michael Nehls
This network shows the impact of papers produced by Michael Nehls. 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 Nehls. The network helps show where Michael Nehls may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Nehls, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2016 | 31 | |
| 3 | 2007 | 63 | |
| 4 | 2006 | 116 | |
| 5 | 2004 | 86 | |
| 6 | 2002 | 19 | |
| 7 | 2002 | 14 | |
| 8 | 1999 | 139 | |
| 9 | 1999 | 118 | |
| 10 | 1998 | 61 | |
| 11 | 1997 | 39 | |
| 12 | 1997 | 68 | |
| 13 | 1996 | 275 | |
| 14 | 1996 | 135 | |
| 15 | 1995 | 26 | |
| 16 | 1995 | 7 | |
| 17 | 1995 | 10 | |
| 18 | 1994 | 9 | |
| 19 | 1994 | 2 | |
| 20 | 1994 | 12 |
About Michael Nehls
Michael Nehls is a scholar working on Aging, Microbiology, Molecular Biology, Sensory Systems and Biotechnology, having authored 53 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Receptor Mechanisms and Signaling (4 papers), Antimicrobial Peptides and Activities (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Immunology (1.1k citations), Molecular Biology (2.9k citations), Microbiology (222 citations), Cellular and Molecular Neuroscience (501 citations) and Cell Biology (440 citations). Michael Nehls has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Boehm, Judith Haendeler, Stefanie Dimmeler, Andreas M. Zeiher, Sigrid Wattler, Michael Schorpp, Dietmar Pfeifer, Hans J. Hedrich, Andreas Russ and Bruno Kyewski. Their work appears in journals such as Genomics, Molecular and Cellular Biology, Trends in Genetics, Proceedings of the National Academy of Sciences and Nature.
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.