Sheldon B. Gertner

35 papers receiving 460 citations

Peers

Sheldon B. Gertner
Comparison fields: 5 of 84
  • Sensory Systems 85
  • Endocrine and Autonomic Systems 62
  • Immunology 147
  • Health, Toxicology and Mutagenesis 77
  • Cellular and Molecular Neuroscience 98
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Urszula Rafałowska Poland
Natalie Taylor United States
Ryszard Szkilnik Poland
P. Szerdahelyi Hungary
Joseph O. Owasoyo Nigeria
S. Franchi‐Micheli Italy
Xiaoyun Ma China
Ole Petter Hjelle Norway
Anibal Garza Carbajal United States
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Citations per field
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Urszula Rafałowska · 1×
Citations per year

Countries citing papers authored by Sheldon B. Gertner

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon B. Gertner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheldon B. Gertner. 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 Sheldon B. Gertner. The network helps show where Sheldon B. Gertner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199280
2 198150
3 199431
4 198330
5 196125
6 195925
7 199324
8 198222
9 199121
10 199121
11 197219
12 195917
13 195615
14 195914
15 196013
16 198313
17 195512
18 196911
19 199510
20 198910

About Sheldon B. Gertner

Sheldon B. Gertner is a scholar working on Molecular Biology, Immunology, Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 516 indexed citations. Recurring topics across this work include Mast cells and histamine (8 papers), Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroendocrine regulation and behavior (3 papers), Olfactory and Sensory Function Studies (3 papers), Pain Mechanisms and Treatments (3 papers), Chemical synthesis and alkaloids (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Sensory Systems (85 citations), Endocrine and Autonomic Systems (62 citations), Immunology (147 citations), Health, Toxicology and Mutagenesis (77 citations) and Cellular and Molecular Neuroscience (98 citations). Sheldon B. Gertner has collaborated with scholars based in United States and Tanzania. Frequent co-authors include John A. Hey, Michael Klein, Robbie L. McLeod, Francis W. Kemp, Michael T. Klein, John D. Bogden, Sylvia Christakos, Ching Yan Chu, Henry E. Brezenoff and M. Goldstein. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Nutrition, Nature, Experimental and Molecular Pathology 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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