D. Sarantakis

1.0k citations
24 papers · 932 · h-index 11

Impact in

Papers in

D. Sarantakis

22 papers receiving 777 citations

Peers

D. Sarantakis
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 602
  • Behavioral Neuroscience 38
  • Reproductive Medicine 88
  • Physiology 246
  • Endocrine and Autonomic Systems 60
Replace Maria Broccardo with:
Maria Broccardo Italy
Wolfgang Eberlein Germany
F. Enzmann Germany
Hartmut Berger Germany
G. Gacel France
Akira Horita United States
Luís M. Orensanz Spain
Richard E. Chipkin United States
Richard Rips France
J.B. Bøler United States
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976488
2 1976127
3 197460
4 197553
5 197328
6 197828
7 197625
8 197425
9 197115
10 197315
11 197813
12 197710
13 19798
14 19727
15
Amino acids and peptides. 34. Synthesis of a structure related to scotophobin.
19727
16 19776
17 19686
18 19813
19 19663
20 19713

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 24 papers that have together received 932 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Chemical Synthesis and Analysis (5 papers), Receptor Mechanisms and Signaling (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pancreatic function and diabetes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Molecular spectroscopy and chirality (2 papers) and Plant and fungal interactions (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (602 citations), Behavioral Neuroscience (38 citations), Reproductive Medicine (88 citations), Physiology (246 citations) and Endocrine and Autonomic Systems (60 citations). D. Sarantakis has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Norman H. Grant, Victor M. Garsky, James D. Belluzzi, Larry Stein, C. David Wise, W. Herbert McGregor, Eric L. Lien, Richard L. Fenichel, Ian C. P. Smith and V M Garsky. Their work appears in journals such as Biochemistry, Nature, Life Sciences, Biochemical and Biophysical Research Communications 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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