Thomas V. Getchell

5.4k citations
107 papers · 4.3k indexed · h-index 42

Impact in

Papers in

Thomas V. Getchell

107 papers receiving 4.1k citations

Peers

Thomas V. Getchell
Comparison fields: 5 of 142
  • Sensory Systems 2.5k
  • Nutrition and Dietetics 1.5k
  • Cellular and Molecular Neuroscience 1.7k
  • Developmental Neuroscience 233
  • Neurology 265
Replace Marilyn L. Getchell with:
Marilyn L. Getchell United States
Markus Delling United States
Günter Gisselmann Germany
Frank L. Margolis United States
Christian H. Wetzel Germany
Joel Abramowitz United States
Seog Bae Oh South Korea
Hyosang Lee South Korea
Kelvin Y. Kwan United States
Ebenezer N. Yamoah United States
Thomas V. Getchell relative to Marilyn L. Getchell United States Marilyn L. Getchell's profile →
Citations per field
00.5×1.5×1.9×
Marilyn L. Getchell · 1×
Citations per year

Countries citing papers authored by Thomas V. Getchell

Since Specialization
Citations

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

Fields of papers citing papers by Thomas V. Getchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas V. Getchell. 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 Thomas V. Getchell. The network helps show where Thomas V. Getchell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20074
2 200739
3 200610
4 200421
5 200326
6 200234
7 199619
8 199536
9 199513
10 199425
11 199141
12 199143
13 198924
14 198966
15 198926
16 198924
17 198821
18
Questions Of Taste And Smell
19867
19 1978108
20 197436

About Thomas V. Getchell

Thomas V. Getchell is a scholar working on Sensory Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 107 papers that have together received 4.3k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (70 papers), Biochemical Analysis and Sensing Techniques (32 papers), Neurobiology and Insect Physiology Research (27 papers), Advanced Chemical Sensor Technologies (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Biochemical effects in animals (7 papers), Immune Response and Inflammation (7 papers) and Musculoskeletal pain and rehabilitation (5 papers). The work is most often cited by research in Sensory Systems (2.5k citations), Nutrition and Dietetics (1.5k citations), Cellular and Molecular Neuroscience (1.7k citations), Developmental Neuroscience (233 citations) and Neurology (265 citations). Thomas V. Getchell has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Marilyn L. Getchell, Gordon M. Shepherd, Frank L. Margolis, John M. Cavanaugh, Albert I. King, Peter A. Simmons, N. S. Rama Krishna, José A. Rafols, Arnold J. Stromberg and Toshihiko Yamashita. Their work appears in journals such as Cell and Tissue Research, Brain Research, The Journal of Comparative Neurology, Neuroreport and Chemical Senses.

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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