Manuel C. Peitsch

31.2k total citations · 5 hit papers
291 papers, 23.6k citations indexed

About

Manuel C. Peitsch is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Manuel C. Peitsch has authored 291 papers receiving a total of 23.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 49 papers in Physiology and 43 papers in Immunology. Recurrent topics in Manuel C. Peitsch's work include Bioinformatics and Genomic Networks (34 papers), Air Quality and Health Impacts (28 papers) and Smoking Behavior and Cessation (26 papers). Manuel C. Peitsch is often cited by papers focused on Bioinformatics and Genomic Networks (34 papers), Air Quality and Health Impacts (28 papers) and Smoking Behavior and Cessation (26 papers). Manuel C. Peitsch collaborates with scholars based in Switzerland, United States and Germany. Manuel C. Peitsch's 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 and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Manuel C. Peitsch

287 papers receiving 23.0k citations

Hit Papers

SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for ... 1995 2026 2005 2015 1997 2009 1996 1995 2014 2.5k 5.0k 7.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for comparative protein modeling
    1997 9.6k citations Nicolas Guex, Manuel C. Peitsch Electrophoresis profile →
  2. Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective
    2009 1.6k citations Nicolas Guex, Manuel C. Peitsch et al. Electrophoresis profile →
  3. ProMod and Swiss-Model: Internet-based tools for automated comparative protein modelling
    1996 845 citations Manuel C. Peitsch profile →
  4. Protein Modeling by E-mail
    1995 731 citations Manuel C. Peitsch profile →
  5. The tobacco genome sequence and its comparison with those of tomato and potato
    2014 440 citations James N. D. Battey, Sonia Ouadi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manuel C. Peitsch Switzerland 56 14.0k 2.7k 2.1k 2.1k 2.0k 291 23.6k
Mikael Kubista Czechia 55 13.8k 1.0× 1.8k 0.7× 2.3k 1.1× 967 0.5× 2.0k 1.0× 209 24.9k
Boris Zhivotovsky Sweden 85 19.5k 1.4× 3.0k 1.1× 2.1k 1.0× 2.1k 1.0× 1.1k 0.6× 344 30.5k
Michael Kuhn Germany 55 23.9k 1.7× 2.9k 1.1× 2.5k 1.2× 1.8k 0.9× 2.9k 1.4× 153 39.2k
Jagannathan Netherlands 3 13.4k 1.0× 1.1k 0.4× 2.7k 1.3× 1.9k 0.9× 2.1k 1.0× 4 24.3k
Michael O. Hengartner Switzerland 54 11.2k 0.8× 2.8k 1.0× 934 0.5× 1.4k 0.7× 830 0.4× 120 17.5k
Helmut E. Meyer Germany 93 17.8k 1.3× 1.2k 0.5× 1.3k 0.6× 4.2k 2.0× 2.0k 1.0× 778 33.8k
Yigong Shi China 102 30.7k 2.2× 3.7k 1.4× 2.2k 1.1× 2.5k 1.2× 2.6k 1.3× 242 40.3k
Adam Godzik United States 77 20.9k 1.5× 3.1k 1.2× 2.3k 1.1× 1.2k 0.6× 2.2k 1.1× 293 28.2k
Denis F. Hochstrasser Switzerland 65 14.3k 1.0× 1.7k 0.6× 1.9k 0.9× 1.2k 0.6× 1.5k 0.7× 231 21.9k
John H. Morris United States 31 20.2k 1.4× 3.1k 1.1× 2.4k 1.2× 1.6k 0.8× 2.8k 1.4× 124 33.3k

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 of co-authors of Manuel C. Peitsch

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel C. Peitsch. A scholar is included among the top collaborators of Manuel C. Peitsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel C. Peitsch. Manuel C. Peitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Toorn, Marco van der, et al.. (2023). An in vitro evaluation of e-vapor products: The contributions of chemical adulteration, concentration, and device power. Food and Chemical Toxicology. 175. 113708–113708. 7 indexed citations
2.
Yepiskoposyan, Hasmik, Manuel C. Peitsch, & Marja Talikka. (2022). Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States. International Journal of Inflammation. 2022. 1–13. 3 indexed citations
3.
Hawkey, Andrew B., Julia Hoeng, Manuel C. Peitsch, Edward D. Levin, & Kyoko Koshibu. (2021). Subchronic effects of plant alkaloids on anxiety-like behavior in zebrafish. Pharmacology Biochemistry and Behavior. 207. 173223–173223. 11 indexed citations
4.
Oldham, Michael J., Francesco Lucci, Bahman Asgharian, et al.. (2021). Use of micro‐CT to determine tracheobronchial airway geometries in three strains of mice used in inhalation toxicology as disease models. The Anatomical Record. 304(9). 2050–2067. 3 indexed citations
5.
Alzualde, Ainhoa, Oihane Jaka, Diogo A. R. S. Latino, et al.. (2021). Effects of nicotinic acetylcholine receptor-activating alkaloids on anxiety-like behavior in zebrafish. Journal of Natural Medicines. 75(4). 926–941. 6 indexed citations
6.
Županič, Anže, Marja Talikka, Vincenzo Belcastro, et al.. (2020). Systems Toxicology Approach for Testing Chemical Cardiotoxicity in Larval Zebrafish. Chemical Research in Toxicology. 33(10). 2550–2564. 18 indexed citations
7.
Sasso, Giuseppe Lo, Blaine Phillips, Alain Sewer, et al.. (2020). The reduction of DSS-induced colitis severity in mice exposed to cigarette smoke is linked to immune modulation and microbial shifts. Scientific Reports. 10(1). 3829–3829. 28 indexed citations
8.
Zanetti, Filippo, Alain Sewer, Bjoern Titz, et al.. (2019). Assessment of a 72-hour repeated exposure to Swedish snus extract and total particulate matter from 3R4F cigarette smoke on gingival organotypic cultures. Food and Chemical Toxicology. 125. 252–270. 9 indexed citations
9.
Iskandar, Anita R., Florian Martin, Patrice Leroy, et al.. (2018). Comparative biological impacts of an aerosol from carbon-heated tobacco and smoke from cigarettes on human respiratory epithelial cultures: A systems toxicology assessment. Food and Chemical Toxicology. 115. 109–126. 27 indexed citations
10.
Bovard, David, Karsta Luettich, Stefan Frentzel, et al.. (2018). A lung/liver-on-a-chip platform for acute and chronic toxicity studies. Lab on a Chip. 18(24). 3814–3829. 142 indexed citations
11.
Poussin, Carine, Vincenzo Belcastro, Florian Martin, et al.. (2017). Crowd-Sourced Verification of Computational Methods and Data in Systems Toxicology: A Case Study with a Heat-Not-Burn Candidate Modified Risk Tobacco Product. Chemical Research in Toxicology. 30(4). 934–945. 13 indexed citations
12.
13.
González-Suárez, Ignacio, Diego Marescotti, Florian Martin, et al.. (2017). In Vitro Systems Toxicology Assessment of Nonflavored e-Cigarette Liquids in Primary Lung Epithelial Cells. 3(1). 41–55. 21 indexed citations
14.
Iskandar, Anita R., Florian Martin, Walter K. Schlage, et al.. (2017). Comparative effects of a candidate modified-risk tobacco product Aerosol and cigarette smoke on human organotypic small airway cultures: a systems toxicology approach. Toxicology Research. 6(6). 930–946. 20 indexed citations
15.
Kuczaj, Arkadiusz K., Markus Nordlund, S.T. Jayaraju, et al.. (2016). Aerosol Flow in the Vitrocell 24/48 Exposure System: Flow Mixing and Aerosol Coalescence. 2(3). 165–174. 9 indexed citations
16.
Poussin, Carine, Alexandra Laurent, Manuel C. Peitsch, Julia Hoeng, & Héctor De León. (2015). Systems toxicology-based assessment of the candidate modified risk tobacco product THS2.2 for the adhesion of monocytic cells to human coronary arterial endothelial cells. Toxicology. 339. 73–86. 33 indexed citations
17.
Poussin, Carine, Walter K. Schlage, Yvonne Steffen, et al.. (2014). Mechanism of an indirect effect of aqueous cigarette smoke extract on the adhesion of monocytic cells to endothelial cells in an in vitro assay revealed by transcriptomics analysis. Toxicology in Vitro. 28(5). 896–908. 21 indexed citations
18.
Majeed, Shoaib, Stefan Frentzel, Sandra Wagner, et al.. (2014). Characterization of the Vitrocell® 24/48 in vitroaerosol exposure system using mainstream cigarette smoke. Chemistry Central Journal. 8(1). 62–62. 64 indexed citations
19.
Dopazo, Joaquı́n, Alfonso Mendoza, Javier Herrero, et al.. (2001). Annotated Draft Genomic Sequence from a Streptococcus pneumoniae Type 19F Clinical Isolate. Microbial Drug Resistance. 7(2). 99–125. 83 indexed citations
20.
Guex, Nicolas & Manuel C. Peitsch. (1997). SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for comparative protein modeling. Electrophoresis. 18(15). 2714–2723. 9592 indexed citations breakdown →

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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