Sumer Pek

2.5k citations
71 papers · 2.2k · h-index 26

Impact in

Papers in

Sumer Pek

68 papers receiving 1.9k citations

Peers

Sumer Pek
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 492
  • Surgery 1.1k
  • Endocrine and Autonomic Systems 85
  • Biochemistry 88
  • Cellular and Molecular Neuroscience 150
Replace Akira Ohneda with:
Akira Ohneda Japan
Jürgen Steinke United States
J W Ensinck United States
R S Sherwin United States
Peter H. Wright United States
Samuel Cataland United States
A. E. Renold Switzerland
Ronald H. Freeman United States
Lieselotte Herberg Germany
Edith Juliana Arany Canada
Sumer Pek relative to Akira Ohneda Japan Akira Ohneda's profile →
Citations per field
00.5×2×2.6×
Akira Ohneda · 1×
Citations per year

Countries citing papers authored by Sumer Pek

Since Specialization
Citations

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

Fields of papers citing papers by Sumer Pek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977258
2 1976133
3 1982132
4 1974125
5 1991115
6 1970112
7 1977106
8 197863
9 197258
10 197256
11 197050
12 197050
13 197850
14 198048
15 197645
16 198445
17
Regulation in healthy subjects of the secretion of human pancreatic polypeptide, a newly recognized pancreatic islet polypeptide.
197641
18 199041
19 197136
20 197735

About Sumer Pek

Sumer Pek is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Biochemistry and Pharmacology, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (56 papers), Diabetes Management and Research (10 papers), Diabetes and associated disorders (9 papers), Inflammatory mediators and NSAID effects (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Diabetes Treatment and Management (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (492 citations), Surgery (1.1k citations), Endocrine and Autonomic Systems (85 citations), Biochemistry (88 citations) and Cellular and Molecular Neuroscience (150 citations). Sumer Pek has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Stefan S. Fajans, John C. Floyd, Jerome W. Conn, Ryuzo Kawamori, Ronald E. Chance, T Y Tai, Ralph F. Knopf, BARBARA CALEEN HANSEN, Mladen Vranić and David Wayne Thomas. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Metabolism 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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