Jeff D. Reagan

3.0k citations
30 papers · 2.2k indexed · 2 hit papers · h-index 19
Topics
Receptor Mechanisms and Signaling (8 papers)Neurobiology and Insect Physiology Research (7 papers)Parathyroid Disorders and Treatments (3 papers)
Partner nations
United StatesJapanIndia

In The Last Decade

Jeff D. Reagan

29 papers receiving 2.1k citations

Hit Papers

Oxidative DNA damage and senescence of human diploid fibr...199520262005201519952006100200300400500

Peers

Jeff D. Reagan
Comparison fields: 5 of 109
  • Molecular Biology 1.1k
  • Physiology 477
  • Cellular and Molecular Neuroscience 392
  • Biological Psychiatry 341
  • Immunology 236
Replace Arata Ichiyama with:
Arata Ichiyama Japan
Trevor W. Sweatman United States
Phillip W. Dickson Australia
Francesc X. Soriano Spain
Carla Perego Italy
Davide Cervia Italy
Johan Palmfeldt Denmark
Tinna Stevnsner Denmark
Miguel Martı́n Spain
Makoto R. Hara United States
Jeff D. Reagan relative to Arata Ichiyama Japan Arata Ichiyama's profile →
Citations per field
00.5×4.4×
Arata Ichiyama · 1×
Citations per year

Countries citing papers authored by Jeff D. Reagan

Since Specialization
Citations

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

Fields of papers citing papers by Jeff D. Reagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff D. Reagan. 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 Jeff D. Reagan. The network helps show where Jeff D. Reagan may publish in the future.

Co-authorship network of co-authors of Jeff D. Reagan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff D. Reagan. A scholar is included among the top collaborators of Jeff D. Reagan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff D. Reagan. Jeff D. Reagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 8
3 28
4 23
5 78
6 25
7 121
8 38
9 96
10 14
11 27
12 105
13
Kynurenic Acid as a Ligand for Orphan G Protein-coupled Receptor GPR35breakdown →
540
14
Revisiting auxin transport inhibition as a mode of action for herbicides
6
15 31
16 46
17 21
18 23
19 116
20 22

About Jeff D. Reagan

Jeff D. Reagan is a scholar working on Cellular and Molecular Neuroscience, Nephrology and Biological Psychiatry, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neurobiology and Insect Physiology Research (7 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (341 citations), Behavioral Neuroscience (224 citations) and Aging (97 citations). Jeff D. Reagan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include B N Ames, Liang‐Jun Yan, Qian Chen, Ann Fischer, Xiaosu Wu, Hui Tian, Gayathri Swaminath, Lei Ling, Jinghong Wang and Nicole Simonavicius. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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