James Otto

4.1k citations
47 papers · 3.2k · h-index 24

Impact in

  • Pharmacology top 0.5%
    • Inflammatory mediators and NSAID effects
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Ubiquitin and proteasome pathways 3
    • ATP Synthase and ATPases Research 3
    • Inflammatory mediators and NSAID effects 8

James Otto

45 papers receiving 3.1k citations

Peers

James Otto
Comparison fields: 5 of 126
  • Pharmacology 917
  • Biochemistry 288
  • Cell Biology 469
  • Molecular Biology 1.7k
  • Genetics 455
Replace Peter G. Sacks with:
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James Otto relative to Peter G. Sacks United States Peter G. Sacks's profile →
Citations per field
00.5×
Peter G. Sacks · 1×
Citations per year

Countries citing papers authored by James Otto

Since Specialization
Citations

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

Fields of papers citing papers by James Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995485
2 1996447
3 2007227
4 1993187
5 1995164
6 1999153
7 2000142
8 1999140
9 2001136
10 2002125
11 1994116
12 2007109
13 200082
14 200882
15 199975
16 201571
17 199670
18 200457
19 202051
20 200744

About James Otto

James Otto is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Genetics and Plant Science, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (8 papers), Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Estrogen and related hormone effects (4 papers), Phytase and its Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Mechanical Circulatory Support Devices (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Pharmacology (917 citations), Biochemistry (288 citations), Cell Biology (469 citations), Molecular Biology (1.7k citations) and Genetics (455 citations). James Otto has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include William L. Smith, Patrick J. Casey, David L. DeWitt, Stephen G. Young, Patricia Ambroziak, Martin O. Bergö, John D. York, Takamitsu Hori, Ikuo Morita and Melvin Schindler. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Methods, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Virology.

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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