Manuel C. Peitsch

31.2k citations
291 papers · 23.6k indexed · 5 hit papers · h-index 56

Impact in

Papers in

Manuel C. Peitsch

287 papers receiving 23.0k citations

Hit Papers

The tobacco genome sequence and its comparison with those of tomato and potato 2014 · 440 citations
44019952026200520152.5k5.0k7.5k

Peers

Manuel C. Peitsch
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
Replace John A. Tainer with:
John A. Tainer United States
Torsten Schwede Switzerland
Boris Zhivotovsky Sweden
Shigeyuki Yokoyama Japan
Timothy D. Veenstra United States
A Currie United Kingdom
Zbigniew Darżynkiewicz United States
Amos Bairoch Switzerland
Yigong Shi China
Lorenza Bordoli Switzerland
Manuel C. Peitsch relative to John A. Tainer United States John A. Tainer's profile →
Citations per field
00.5×1.5×1.9×
John A. Tainer · 1×
Citations per year

Countries citing papers authored by Manuel C. Peitsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Manuel C. Peitsch Line = papers co-authored together Manuel C. Peitsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20234
3 202221
4 20223
5 20216
6 20216
7 202028
8 202012
9 20207
10 201910
11 20199
12 201926
13 201949
14 2018142
15 201832
16 201721
17 201719
18 201720
19 20169
20 201346

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.

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