Ben Pansky

59 papers receiving 746 citations

Peers

Ben Pansky
Comparison fields: 5 of 117
  • Pharmaceutical Science 46
  • Surgery 240
  • Endocrinology, Diabetes and Metabolism 91
  • Cellular and Molecular Neuroscience 86
  • Endocrine and Autonomic Systems 29
Replace Takayuki Masuda with:
Takayuki Masuda Japan
Joseph Shanfeld United States
Patricia S. Walker United States
Yoshiaki Nakai Japan
Evelina Vågesjö Sweden
J. C. Anderson United Kingdom
Moshe Lahav United States
M.H.A. Rustin United Kingdom
Christopher L. Mariani United States
Doris Gundersen Norway
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Citations per field
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Citations per year

Countries citing papers authored by Ben Pansky

Since Specialization
Citations

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

Fields of papers citing papers by Ben Pansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review of Medical Embryology
198290
2 199761
3 195257
4
Review of Neuroscience
198048
5 199043
6
Review of Gross Anatomy
196942
7 198439
8 195637
9 197832
10 196129
11
Demonstration of insulin-specific mRNA in cultured rat retinal glial cells.
198727
12 198625
13 196525
14
Preproinsulin mRNA in the rat eye.
199320
15 196120
16 196118
17 196115
18 199015
19 198814
20 200012

About Ben Pansky

Ben Pansky is a scholar working on Surgery, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 63 papers that have together received 847 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (6 papers), S100 Proteins and Annexins (5 papers), Adipose Tissue and Metabolism (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Connexins and lens biology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Pharmaceutical Science (46 citations), Surgery (240 citations), Endocrinology, Diabetes and Metabolism (91 citations), Cellular and Molecular Neuroscience (86 citations) and Endocrine and Autonomic Systems (29 citations). Ben Pansky has collaborated with scholars based in United States, China and Australia. Frequent co-authors include G. C. Budd, M. S. Jacobs, Margaret Ward Orsini, Murray Saffran, James S. Hatfield, Arup Das, Frederick E. Williams, Carol R. Kollarits, E. Dorinda Shelley and Ashim Das. Their work appears in journals such as The Anatomical Record, Annals of the New York Academy of Sciences, American Journal of Physiology-Legacy Content, British Journal of Dermatology and Experimental Biology and Medicine.

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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