Jan Pohl

157 papers receiving 8.9k citations

Hit Papers

Antiviral Approaches against Influenza Virus 2023 · 85 citations
851989202620012013250500750

Peers

Jan Pohl
Comparison fields: 5 of 165
  • Microbiology 1.5k
  • Immunology 1.8k
  • Molecular Biology 4.8k
  • Molecular Medicine 293
  • Virology 277
Replace Neil D. Rawlings with:
Neil D. Rawlings United Kingdom
Robert M. Horton United States
Luiz Juliano Brazil
James Travis United States
Matthew J. Sweet Australia
Eugene C. Yi United States
María A. Juliano Brazil
Samuel C. Silverstein United States
Patrick L. Iversen United States
James C. Powers United States
Jan Pohl relative to Neil D. Rawlings United Kingdom Neil D. Rawlings's profile →
Citations per field
00.5×3.0×
Neil D. Rawlings · 1×
Citations per year

Countries citing papers authored by Jan Pohl

Since Specialization
Citations

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

Fields of papers citing papers by Jan Pohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Neuron-Specific Protein PGP 9.5 Is a Ubiquitin Carboxyl-Terminal Hydrolase
Hit paper breakdown →
1989759
2
Peptide-binding specificity of the molecular chaperone BiP
Hit paper breakdown →
1991644
3 2004424
4 1998293
5 2011285
6 2003260
7 2003241
8 1983224
9 2019223
10 2016165
11 2002152
12 1987147
13 1990135
14 1993135
15 2006133
16 2005128
17 2003113
18 200094
19 199093
20 200493

About Jan Pohl

Jan Pohl is a scholar working on Microbiology, Virology, Immunology, Molecular Biology and Biochemistry, having authored 158 papers that have together received 9.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (36 papers), Biochemical and Structural Characterization (17 papers), Immune Response and Inflammation (12 papers), Peptidase Inhibition and Analysis (11 papers), HIV Research and Treatment (7 papers), Protease and Inhibitor Mechanisms (7 papers), Ubiquitin and proteasome pathways (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Microbiology (1.5k citations), Immunology (1.8k citations), Molecular Biology (4.8k citations), Molecular Medicine (293 citations) and Virology (277 citations). Jan Pohl has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include James E. Rothman, Gregory C. Flynn, Pavel Svoboda, Matthew S. Reed, Keunmyoung Lee, Penelope J. Duerksen-Hughes, Seema S. Deshpande, Keith D. Wilkinson, Jeremy M. Boss and William M. Shafer. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Biochemistry, PLoS ONE and Infection and Immunity.

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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