Peter M. Grob

37 papers receiving 3.1k citations

Peter M. Grob's Hit Papers

Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site 2002 · 704 citations
7040+8+17Years since publication200400600

Peers

Peter M. Grob
Comparison fields: 5 of 115
  • Virology 487
  • Hepatology 457
  • Infectious Diseases 626
  • Developmental Neuroscience 118
  • Cellular and Molecular Neuroscience 511
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Countries citing papers authored by Peter M. Grob

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Grob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical progression, survival, and immune recovery during antiretroviral therapy in patients with HIV-1 and hepatitis C virus coinfection: the Swiss HIV Cohort Study
Hit paper breakdown →
2000713
2
Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site
Hit paper breakdown →
2002704
3 1984295
4 1995245
5 1991169
6 1985142
7 1990124
8 198394
9 199687
10 198785
11 199779
12 199277
13 199574
14 199147
15 199746
16 198340
17 199533
18 199830
19 199529
20 199729

About Peter M. Grob

Peter M. Grob is a scholar working on Molecular Biology, Infectious Diseases, Virology, Organic Chemistry and Epidemiology, having authored 38 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (12 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Hepatitis C virus research (4 papers), Click Chemistry and Applications (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Virology (487 citations), Hepatology (457 citations), Infectious Diseases (626 citations), Developmental Neuroscience (118 citations) and Cellular and Molecular Neuroscience (511 citations). Peter M. Grob has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Mark Bothwell, Laurie Churchill, Anne G. Graham, Alonzo H. Ross, Susan Pav, Eugene R. Hickey, Pier F. Cirillo, Thomas D. Gilmore, Neil Moss and Christopher Pargellis. Their work appears in journals such as Journal of Medicinal Chemistry, Vaccine, Journal of Biological Chemistry, Biochemistry and Proceedings of the National Academy of Sciences.

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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