Michel Siegmann
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 7
- RNA modifications and cancer 5
- Protein Kinase Regulation and GTPase Signaling 5
- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 2
- Cell Biology top 10%
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- Peptidase Inhibition and Analysis 3
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- George ThomasJean‐Pierre JostStefano FerrariSara C. KozmaJ. GordonLisa M. BallouLijie SunHerbert Angliker
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (4 papers)FEBS Letters (3 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Michel Siegmann
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.2k
- Cell Biology 138
- Aging 11
- Genetics 159
- Oncology 154
Countries citing papers authored by Michel Siegmann
This map shows the geographic impact of Michel Siegmann'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 Michel Siegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Siegmann more than expected).
Fields of papers citing papers by Michel Siegmann
This network shows the impact of papers produced by Michel Siegmann. 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 Michel Siegmann. The network helps show where Michel Siegmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Siegmann, 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 | 2002 | 7 | |
| 2 | 2002 | 8 | |
| 3 | 2001 | 62 | |
| 4 | 2000 | 115 | |
| 5 | 1999 | 57 | |
| 6 | 1999 | 16 | |
| 7 | 1998 | 34 | |
| 8 | 1997 | 50 | |
| 9 | 1995 | 107 | |
| 10 | 1993 | 22 | |
| 11 | 1993 | 104 | |
| 12 | 1990 | 145 | |
| 13 | 1989 | 69 | |
| 14 | 1989 | 67 | |
| 15 | 1987 | 32 | |
| 16 | 1986 | 26 | |
| 17 | 1984 | 61 | |
| 18 | 1980 | 109 | |
| 19 | 1979 | 130 | |
| 20 | 1977 | 36 |
About Michel Siegmann
Michel Siegmann is a scholar working on Aging, Molecular Biology, Spectroscopy, Immunology and Allergy and Cell Biology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), RNA and protein synthesis mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers), DNA Repair Mechanisms (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (138 citations), Aging (11 citations), Genetics (159 citations) and Oncology (154 citations). Michel Siegmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include George Thomas, George Thomas, Jean‐Pierre Jost, Stefano Ferrari, Sara C. Kozma, J. Gordon, Lisa M. Ballou, Lijie Sun, Herbert Angliker and Jorge Martı́n-Pérez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, FEBS Letters, The EMBO Journal and Cell.
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.