Manuel C. Peitsch
Impact in
- Molecular Biology top 0.1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Immunology top 0.5%
Papers in
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- Air Quality and Health Impacts 28
-
- Bioinformatics and Genomic Networks 34
- Protein Structure and Dynamics 15
- Nicotinic Acetylcholine Receptors Study 15
- Co-authors
- Nicolas GuexTorsten SchwedeJulia HoengJürg TschoppNikolai V. IvanovFlorian MartinHans Georg MannherzAlexander Diemand
- Journals
- Food and Chemical Toxicology (17 papers)Journal of Biological Chemistry (9 papers)Bioinformatics (8 papers)Toxicology Letters (7 papers)Chemical Research in Toxicology (7 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Manuel C. Peitsch
287 papers receiving 23.0k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Molecular Biology 14.0k
- Immunology 2.7k
- Biotechnology 1.1k
- Health, Toxicology and Mutagenesis 1.5k
- Cancer Research 1.4k
Countries citing papers authored by Manuel C. Peitsch
This map shows the geographic impact of Manuel C. Peitsch'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 Manuel C. Peitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel C. Peitsch more than expected).
Fields of papers citing papers by Manuel C. Peitsch
This network shows the impact of papers produced by Manuel C. Peitsch. 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 Manuel C. Peitsch. The network helps show where Manuel C. Peitsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuel C. Peitsch, 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 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 49 | |
| 14 | 2018 | 142 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 21 | |
| 17 | 2017 | 19 | |
| 18 | 2017 | 20 | |
| 19 | 2016 | 9 | |
| 20 | 2013 | 46 |
About Manuel C. Peitsch
Manuel C. Peitsch is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Cancer Research, Immunology and Biophysics, having authored 291 papers that have together received 23.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (34 papers), Air Quality and Health Impacts (28 papers), Smoking Behavior and Cessation (26 papers), Carcinogens and Genotoxicity Assessment (20 papers), Computational Drug Discovery Methods (20 papers), Inhalation and Respiratory Drug Delivery (18 papers), Protein Structure and Dynamics (15 papers) and Nicotinic Acetylcholine Receptors Study (15 papers). The work is most often cited by research in Molecular Biology (14.0k citations), Immunology (2.7k citations), Biotechnology (1.1k citations), Health, Toxicology and Mutagenesis (1.5k citations) and Cancer Research (1.4k citations). Manuel C. Peitsch has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Nicolas Guex, Torsten Schwede, Julia Hoeng, Jürg Tschopp, Nikolai V. Ivanov, Florian Martin, Hans Georg Mannherz, Alexander Diemand, Bernhard Polzar and Walter K. Schlage. Their work appears in journals such as Food and Chemical Toxicology, Journal of Biological Chemistry, Bioinformatics, Toxicology Letters and Chemical Research in Toxicology.
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.