D. Gershon

1.7k citations
41 papers · 1.3k indexed · h-index 19

D. Gershon

40 papers receiving 1.2k citations

Peers

D. Gershon
Comparison fields: 5 of 109
  • Aging 275
  • Physiology 395
  • Clinical Biochemistry 68
  • Molecular Biology 662
  • Cell Biology 125
Replace Yasuko Kato with:
Yasuko Kato Japan
DeWayne Townsend United States
Sung Chan Kim South Korea
Campbell W. Gourlay United Kingdom
Shigeyuki Arai Japan
Ling Lin China
Amina Tassa France
Jae Man Lee Japan
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Zhiping Xie China
D. Gershon relative to Yasuko Kato Japan Yasuko Kato's profile →
Citations per field
00.5×10×15×18.3×
Yasuko Kato · 1×
Citations per year

Countries citing papers authored by D. Gershon

Since Specialization
Citations

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

Fields of papers citing papers by D. Gershon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20030
2 20022
3 199611
4 19954
5 19941
6 19941
7 19927
8 19917
9 1990163
10 199028
11 19894
12 198652
13
Some characteristics of the human erythrocyte as a function of donor and cell age.
198540
14 198516
15 197517
16 19743
17 197418
18 197398
19 19736
20
The effect of polyoma virus on differentiating multinucleated muscle fibers.
196711

About D. Gershon

D. Gershon is a scholar working on Aging, Physical and Theoretical Chemistry, Pharmaceutical Science, Physiology and Control and Systems Engineering, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Erythrocyte Function and Pathophysiology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Teleoperation and Haptic Systems (4 papers), Robotic Mechanisms and Dynamics (3 papers), Diabetes and associated disorders (3 papers), Connexins and lens biology (3 papers) and thermodynamics and calorimetric analyses (3 papers). The work is most often cited by research in Aging (275 citations), Physiology (395 citations), Clinical Biochemistry (68 citations), Molecular Biology (662 citations) and Cell Biology (125 citations). D. Gershon has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Harriet Gershon, Joseph Fargnoli, Michael Blake, Nikki J. Holbrook, G A Glass, Jeffrey S. Epstein, A. Dovrat, Abraham Z. Reznick, Lena Lavie and Ernest Winocour. Their work appears in journals such as Mechanisms of Ageing and Development, Biochemical Journal, Experimental Eye Research, Proceedings of the National Academy of Sciences and Experimental Gerontology.

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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