Neil Tanday

486 citations
29 papers · 366 · h-index 14

Impact in

Papers in

Neil Tanday

28 papers receiving 366 citations

Peers

Neil Tanday
Comparison fields: 5 of 39
  • Endocrinology, Diabetes and Metabolism 203
  • Endocrine and Autonomic Systems 36
  • Surgery 215
  • Cellular and Molecular Neuroscience 73
  • Genetics 98
Replace Jonathan W. Day with:
Jonathan W. Day United States
Eckart Bartels Germany
Patricia V. Højberg Denmark
Christopher Bannon United Kingdom
Lawrence Billing United Kingdom
Lisa Getty‐Kaushik United States
Silke A. Herzberg-Schäfer Germany
Annegrete Juul Denmark
Chizuko Ohboshi Japan
Neil Tanday relative to Jonathan W. Day United States Jonathan W. Day's profile →
Citations per field
00.5×2×3×4×4.9×
Jonathan W. Day · 1×
Citations per year

Countries citing papers authored by Neil Tanday

Since Specialization
Citations

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

Fields of papers citing papers by Neil Tanday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Neil Tanday, 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 Neil Tanday Line = papers co-authored together Neil Tanday links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 202129
3 201928
4 202226
5 202026
6 202025
7 201924
8 202122
9 202017
10 202117
11 201814
12 202314
13 202014
14 202213
15 202010
16 202010
17 20217
18 20217
19 20235
20 20234

About Neil Tanday

Neil Tanday is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 29 papers that have together received 366 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Diabetes Treatment and Management (13 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (6 papers), Neuropeptides and Animal Physiology (6 papers), Metabolism, Diabetes, and Cancer (2 papers), Regulation of Appetite and Obesity (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Endocrine and Autonomic Systems (36 citations), Surgery (215 citations), Cellular and Molecular Neuroscience (73 citations) and Genetics (98 citations). Neil Tanday has collaborated with scholars based in United Kingdom, Sweden and Germany. Frequent co-authors include Peter R. Flatt, Nigel Irwin, R. Charlotte Moffett, Ryan A. Lafferty, Fiona M. Gribble, Frank Reimann, Victor A. Gault, Andrei I. Tarasov, Finbarr O’Harte and Andrew English. Their work appears in journals such as Diabetes Obesity and Metabolism, Biochemical Pharmacology, Diabetic Medicine, Frontiers in Endocrinology and Peptides.

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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