D. Sarantakis

1.0k citations
22 papers · 804 · h-index 10

Impact in

Papers in

D. Sarantakis

22 papers receiving 690 citations

Peers

D. Sarantakis
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 530
  • Behavioral Neuroscience 33
  • Reproductive Medicine 75
  • Physiology 228
  • Molecular Biology 525
Replace D. D. Wheeler with:
D. D. Wheeler United States
D. B. Hope United Kingdom
Hartmut Berger Germany
Victor J. Hruby United States
F. Enzmann Germany
Wolfgang Eberlein Germany
Michiko Asai Japan
Lajos Baláspiri Hungary
D. Roemer Japan
Pier Carlo Montecucchi Italy
D. Sarantakis relative to D. D. Wheeler United States D. D. Wheeler's profile →
Citations per field
00.5×1.5×
D. D. Wheeler · 1×
Citations per year

Countries citing papers authored by D. Sarantakis

Since Specialization
Citations

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

Fields of papers citing papers by D. Sarantakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976436
2 1976107
3 197455
4 197548
5 197825
6 197324
7 197418
8 197618
9 197112
10 197311
11
Amino acids and peptides. 34. Synthesis of a structure related to scotophobin.
19727
12 19787
13 19727
14 19777
15 19797
16 19663
17 19683
18 19773
19 19812
20 19712

About D. Sarantakis

D. Sarantakis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Surgery and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 804 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Chemical Synthesis and Analysis (4 papers), Pancreatic function and diabetes (3 papers), Receptor Mechanisms and Signaling (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Molecular spectroscopy and chirality (2 papers), Hemoglobin structure and function (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (530 citations), Behavioral Neuroscience (33 citations), Reproductive Medicine (75 citations), Physiology (228 citations) and Molecular Biology (525 citations). D. Sarantakis has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Norman H. Grant, Victor M. Garsky, C. David Wise, Larry Stein, James D. Belluzzi, W. Herbert McGregor, Eric L. Lien, Ian C. P. Smith, Richard L. Fenichel and V M Garsky. Their work appears in journals such as Biochemistry, Nature, Life Sciences, Tetrahedron and FEBS Letters.

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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