Peter Sjö

1.1k citations
20 papers · 516 · h-index 13

Impact in

Papers in

Peter Sjö

20 papers receiving 503 citations

Peers

Peter Sjö
Comparison fields: 5 of 92
  • Infectious Diseases 150
  • Computational Theory and Mathematics 107
  • Organic Chemistry 143
  • Pharmacology 38
  • Molecular Biology 206
Replace B. Kevin Park with:
B. Kevin Park United Kingdom
Abhishek Goswami India
Dinesh Manvar United States
Amy E. Mercer United Kingdom
Faheem Faheem India
Andrew J. McRiner United States
Ik‐Hyeon Paik United States
Lori Kunselman United States
Kristina Borstnik United States
Peter Sjö relative to B. Kevin Park United Kingdom B. Kevin Park's profile →
Citations per field
00.5×
B. Kevin Park · 1×
Citations per year

Countries citing papers authored by Peter Sjö

Since Specialization
Citations

This map shows the geographic impact of Peter Sjö'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 Peter Sjö with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sjö more than expected).

Fields of papers citing papers by Peter Sjö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Sjö. 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 Peter Sjö. The network helps show where Peter Sjö may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Sjö, 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 Peter Sjö Line = papers co-authored together Peter Sjö links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202284
2 202366
3 201159
4 199251
5 202334
6 201834
7 202033
8 201226
9 201222
10 202220
11 201418
12 201715
13 202014
14 201010
15 201710
16 20187
17 20227
18 19933
19 20242
20 20231

About Peter Sjö

Peter Sjö is a scholar working on Infectious Diseases, Organic Chemistry, Molecular Biology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 20 papers that have together received 516 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (3 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers), Asymmetric Synthesis and Catalysis (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Free Radicals and Antioxidants (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Infectious Diseases (150 citations), Computational Theory and Mathematics (107 citations), Organic Chemistry (143 citations), Pharmacology (38 citations) and Molecular Biology (206 citations). Peter Sjö has collaborated with scholars based in Switzerland, Sweden and United Kingdom. Frequent co-authors include K. Barry Sharpless, Kyu‐Sung Jeong, Lena Ripa, Igor L. Shamovsky, Mike O’Donovan, Stefan Schießer, Peter Hansen, Jan Kihlberg, Bo Nordén and Charles E. Mowbray. Their work appears in journals such as Journal of Medicinal Chemistry, Chemical Research in Toxicology, Journal of the American Chemical Society, Chemical Communications and Tetrahedron Letters.

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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