D A Pyke

1.6k citations
40 papers · 1.2k · h-index 17

Impact in

Papers in

D A Pyke

36 papers receiving 974 citations

Peers

D A Pyke
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 429
  • Obstetrics and Gynecology 118
  • Genetics 432
  • Ophthalmology 71
  • Surgery 283
Replace Jacek Sieradzki with:
Jacek Sieradzki Poland
L. Baker United States
N. W. Oakley United Kingdom
Julius Sagel United States
GERALD A. WILLIAMS United States
W M Wiersinga Netherlands
Nicola Sicolo Italy
Tomasz Bednarczuk Poland
Elisabeth Widén Finland
Sebastiano Grasso Italy
D A Pyke relative to Jacek Sieradzki Poland Jacek Sieradzki's profile →
Citations per field
00.5×1.5×1.9×
Jacek Sieradzki · 1×
Citations per year

Countries citing papers authored by D A Pyke

Since Specialization
Citations

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

Fields of papers citing papers by D A Pyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972246
2 1978111
3 198288
4 198375
5 197471
6 197965
7 195663
8 197552
9 195551
10 198141
11 198537
12 198034
13 197031
14 197029
15 198024
16 198119
17 198618
18 197613
19 198412
20 200510

About D A Pyke

D A Pyke is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Physiology and Pharmacology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes and associated disorders (8 papers), Rangeland and Wildlife Management (4 papers), Pharmacology and Obesity Treatment (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Retinal Diseases and Treatments (3 papers), Diet and metabolism studies (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (429 citations), Obstetrics and Gynecology (118 citations), Genetics (432 citations), Ophthalmology (71 citations) and Surgery (283 citations). D A Pyke has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include R. B. Tattersall, R. D. G. Leslie, A H Barnett, Jonathan M. L. White, Richard David Leslie, P.N. John, A G Cudworth, Peter Watkins, R. B. McConnell and Jennifer Roberts. Their work appears in journals such as The Lancet, Clinical Science, Advances in experimental medicine and biology, Blood and Diabetologia.

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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