Leonard Kass

1.1k citations
32 papers · 889 indexed · h-index 17

Impact in

Papers in

Leonard Kass

32 papers receiving 847 citations

Peers

Leonard Kass
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 461
  • Paleontology 132
  • Endocrine and Autonomic Systems 116
  • Sensory Systems 39
  • Developmental Biology 17
Replace J. L. S. Cobb with:
J. L. S. Cobb United Kingdom
Ângelo B. M. Machado Brazil
Augusto Foà Italy
B. L. Roberts United Kingdom
Donald C. Goodman United States
Richard C. Goris Japan
Ilya I. Glezer United States
S. E. Huggins United States
Pilar Molíst Spain
Simo Hemilä Finland
Leonard Kass relative to J. L. S. Cobb United Kingdom J. L. S. Cobb's profile →
Citations per field
00.5×3.5×
J. L. S. Cobb · 1×
Citations per year

Countries citing papers authored by Leonard Kass

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard Kass. 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 Leonard Kass. The network helps show where Leonard Kass may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 19984
3 19976
4 199713
5 199717
6 199715
7 19969
8 199623
9 199539
10 19948
11 199220
12 199130
13 19888
14 198847
15 198824
16 198838
17 19838
18 19797
19 1978152
20 197834

About Leonard Kass

Leonard Kass is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Urology, Paleontology and Nature and Landscape Conservation, having authored 32 papers that have together received 889 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (12 papers), Retinal Development and Disorders (7 papers), Ichthyology and Marine Biology (6 papers), Circadian rhythm and melatonin (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurobiology and Insect Physiology Research (4 papers), Fish biology, ecology, and behavior (4 papers) and Urinary Bladder and Prostate Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (461 citations), Paleontology (132 citations), Endocrine and Autonomic Systems (116 citations), Sensory Systems (39 citations) and Developmental Biology (17 citations). Leonard Kass has collaborated with scholars based in United States, Canada and Bermuda. Frequent co-authors include Peter H. Hartline, Robert B. Barlow, Michael S. Loop, George H. Renninger, Maureen K. Powers, Robert N. Jinks, Steven C. Chamberlain, Erik D. Herzog, Janice L. Pelletier and Bert Vorstman. Their work appears in journals such as Visual Neuroscience, The Journal of Comparative Neurology, Journal of Comparative Physiology A, Biological Bulletin and The Journal of Urology.

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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