Michael C. Gerald

1.2k citations
64 papers · 1.1k · h-index 19

Impact in

Papers in

Michael C. Gerald

63 papers receiving 973 citations

Peers

Michael C. Gerald
Comparison fields: 5 of 98
  • Urology 348
  • Endocrine and Autonomic Systems 113
  • Behavioral Neuroscience 53
  • Cellular and Molecular Neuroscience 255
  • Sensory Systems 53
Replace Gordon McMurray with:
Gordon McMurray United Kingdom
A. Rubenson Sweden
Zdravko Lacković Croatia
Olivera Stanojlović Serbia
Bruno M. Fusco Italy
Mario Barbieri Italy
Richard C. Ursillo United States
William R. Millington United States
Yukinori Nagakura Japan
Michael C. Gerald relative to Gordon McMurray United Kingdom Gordon McMurray's profile →
Citations per field
00.5×3.3×
Gordon McMurray · 1×
Citations per year

Countries citing papers authored by Michael C. Gerald

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Gerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Gerald. 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 Michael C. Gerald. The network helps show where Michael C. Gerald may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197273
2 198864
3 197862
4 198661
5 198458
6 198957
7 198953
8 198550
9 198843
10 198643
11 197338
12 197631
13 197328
14 197127
15 196924
16 198824
17 197621
18 198920
19 197718
20 197318

About Michael C. Gerald

Michael C. Gerald is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Urology and Endocrine and Autonomic Systems, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Urinary Bladder and Prostate Research (8 papers), Receptor Mechanisms and Signaling (8 papers), Pain Mechanisms and Treatments (7 papers), Circadian rhythm and melatonin (7 papers), Ion channel regulation and function (6 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Urology (348 citations), Endocrine and Autonomic Systems (113 citations), Behavioral Neuroscience (53 citations), Cellular and Molecular Neuroscience (255 citations) and Sensory Systems (53 citations). Michael C. Gerald has collaborated with scholars based in United States. Frequent co-authors include Lane J. Wallace, Malak G. Kolta, R.P. Maickel, Elizabeth M. Kudlacz, Robert M. Levin, William H. Riffee, Alan J. Wein, Gregory A. Ordway, Kenneth A. Skau and D. R. FELLER. Their work appears in journals such as American Journal of Pharmaceutical Education, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, The Journal of Urology and European Journal of Pharmacology.

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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