Brian G. Poll

522 citations
16 papers · 371 · h-index 9

Impact in

    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
    • Hair Growth and Disorders

Papers in

    • Ion Transport and Channel Regulation 4
    • Receptor Mechanisms and Signaling 3
    • Gut microbiota and health 2
    • Diet and metabolism studies 4

Brian G. Poll

16 papers receiving 369 citations

Peers

Brian G. Poll
Comparison fields: 5 of 70
  • Cell Biology 96
  • Urology 24
  • Physiology 94
  • Biological Psychiatry 9
  • Sensory Systems 17
Replace Hua‐Ching Chang with:
Hua‐Ching Chang Taiwan
Yash Mittal United States
Kavitha N. Rao United States
Noriko Okamoto Japan
A Jones United States
Kamaldeen Muili United States
Lydia Murray United Kingdom
Amity F. Eaton United States
Manuel O. Jakob Switzerland
Rebecca J. Steagall United States
Brian G. Poll relative to Hua‐Ching Chang Taiwan Hua‐Ching Chang's profile →
Citations per field
00.5×1.5×2.3×
Hua‐Ching Chang · 1×
Citations per year

Countries citing papers authored by Brian G. Poll

Since Specialization
Citations

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

Fields of papers citing papers by Brian G. Poll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian G. Poll. 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 Brian G. Poll. The network helps show where Brian G. Poll may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201594
2 202068
3 202151
4 201927
5 202025
6 201922
7 202120
8 202118
9 20229
10 20248
11 20218
12 20218
13 20195
14 20224
15 20233
16 20181

About Brian G. Poll

Brian G. Poll is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Cell Biology and Social Psychology, having authored 16 papers that have together received 371 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Ion Transport and Channel Regulation (4 papers), Skin and Cellular Biology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Electrolyte and hormonal disorders (3 papers), Olfactory and Sensory Function Studies (2 papers), Gut microbiota and health (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (96 citations), Urology (24 citations), Physiology (94 citations), Biological Psychiatry (9 citations) and Sensory Systems (17 citations). Brian G. Poll has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Jennifer L. Pluznick, Muhammad Umar Cheema, Pierre A. Coulombe, Ryan P. Hobbs, Justin T. Jacob, Jiaojiao Xu, Viswanathan Raghuram, Niranjana Natarajan, Mark A. Knepper and Janis M. Taube. Their work appears in journals such as American Journal of Physiology-Renal Physiology, The FASEB Journal, Journal of Pharmacology and Experimental Therapeutics, Nature Genetics and The Annual Review of Pharmacology and Toxicology.

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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