Jonathan E. Pacheco

25 papers receiving 635 citations

Peers

Jonathan E. Pacheco
Comparison fields: 5 of 58
  • Sensory Systems 219
  • Physiology 75
  • Cell Biology 109
  • Biochemistry 27
  • Molecular Biology 252
Replace Marek Korzeniowski with:
Marek Korzeniowski United States
Daniel Bakowski United Kingdom
Janine Denise Brunner Switzerland
Kaori Masai Japan
Sally Jo Stoehr United States
Éva Wisniewski United States
Robert J. Huber Canada
María Luisa Guzmán-Hernández United States
Carthene R. Bazemore‐Walker United States
Otto Morris United States
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Citations per field
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Marek Korzeniowski · 1×
Citations per year

Countries citing papers authored by Jonathan E. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Pacheco. 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 Jonathan E. Pacheco. The network helps show where Jonathan E. Pacheco may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 2018102
3 201550
4 201649
5 201738
6 201437
7 201231
8 202231
9 202230
10 202227
11 202322
12 201721
13 201915
14 202115
15 202010
16 20167
17 20247
18 20176
19 20196
20 20234

About Jonathan E. Pacheco

Jonathan E. Pacheco is a scholar working on Sensory Systems, Cell Biology, Physiology, Molecular Biology and Endocrinology, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include Ion Channels and Receptors (11 papers), Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Sensory Systems (219 citations), Physiology (75 citations), Cell Biology (109 citations), Biochemistry (27 citations) and Molecular Biology (252 citations). Jonathan E. Pacheco has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Luis A. Vaca, Gerald R. V. Hammond, James P. Zewe, Alexander N. Asanov, Michelle L. Halls, Dermot M.F. Cooper, Alexander Deiters, Brady D. Goulden, Philipp Skroblin and Katy L. Everett. Their work appears in journals such as Advances in experimental medicine and biology, Cell Calcium, Journal of Cell Science, The Journal of Cell Biology 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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