A. R. Diani

22 papers receiving 598 citations

Peers

A. R. Diani
Comparison fields: 5 of 81
  • Urology 72
  • Endocrinology, Diabetes and Metabolism 173
  • Endocrine and Autonomic Systems 53
  • Physiology 172
  • Reproductive Medicine 44
Replace Rose‐Marie Catalioto with:
Rose‐Marie Catalioto Italy
Katsushi Shibata Japan
Karin Dillner Sweden
Craig Weber United States
Gianfrancesco Goracci Italy
Yun Ning China
P. Knapstein Germany
Darla L. Tharp United States
J. A. Bellan United States
Eva Maria Becker Germany
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Citations per field
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Citations per year

Countries citing papers authored by A. R. Diani

Since Specialization
Citations

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

Fields of papers citing papers by A. R. Diani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. R. Diani. 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 A. R. Diani. The network helps show where A. R. Diani may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983108
2 199290
3 200478
4
Localization of S-100 protein in Müller cells of the retina--1. Light microscopical immunocytochemistry.
198341
5 198340
6 198237
7 197933
8
Ultrastructural and immunohistochemical characterization of autonomic neuropathy in genetically diabetic Chinese hamsters.
198933
9 198227
10 197623
11 198719
12 198419
13 198813
14 198813
15 198513
16 198613
17 199010
18
Diet induced atherogenic hyperlipoproteinaemia and liver injury in cynomolgus macaques.
19868
19 19838
20 19816

About A. R. Diani

A. R. Diani is a scholar working on Surgery, Molecular Biology, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 636 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet and metabolism studies (5 papers), Diabetes and associated disorders (4 papers), Hair Growth and Disorders (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Regulation of Appetite and Obesity (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Urology (72 citations), Endocrinology, Diabetes and Metabolism (173 citations), Endocrine and Autonomic Systems (53 citations), Physiology (172 citations) and Reproductive Medicine (44 citations). A. R. Diani has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include B. M. Wyse, G. C. Gerritsen, Geri A. Sawada, Albert Y. Chang, Mehmood Khan, Frederick T. Murray, Carlton Smith, David R. Garris, Ann Buhl and George Johnson. Their work appears in journals such as Diabetologia, Diabetes, Acta Neuropathologica, Cell and Tissue Research and American Journal of Physiology-Endocrinology and Metabolism.

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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