S. Raptis

10.0k citations
231 papers · 6.9k indexed · h-index 45

Impact in

Papers in

S. Raptis

226 papers receiving 6.6k citations

Peers

S. Raptis
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Endocrine and Autonomic Systems 446
  • Gastroenterology 300
  • Surgery 1.9k
  • Physiology 1.1k
Replace Jun‐ichiro Miyagawa with:
Jun‐ichiro Miyagawa Japan
Frida Leonetti Italy
Wolfgang E. Schmidt Germany
Trond Jenssen Norway
George Dimitriadis Greece
Hirokazu Takahashi Japan
Dominique Maiter Belgium
Melania Manco Italy
Joan Vendrell Spain
Richard A. Hodin United States
S. Raptis relative to Jun‐ichiro Miyagawa Japan Jun‐ichiro Miyagawa's profile →
Citations per field
00.5×1.7×
Jun‐ichiro Miyagawa · 1×
Citations per year

Countries citing papers authored by S. Raptis

Since Specialization
Citations

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

Fields of papers citing papers by S. Raptis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201224
2 201133
3 201087
4 2010106
5 200910
6 200935
7 20091
8 200978
9 2007199
10 200614
11 200430
12 20023
13 200257
14 200112
15 20008
16 20007
17
A functional assay for intercellular, junctional communication in cultured human lung carcinoma cells.
199812
18 198828
19 19802
20
Inhibition of exocrine and endocrine pancreatic function by somatostatin in man.
19764

About S. Raptis

S. Raptis is a scholar working on Endocrinology, Diabetes and Metabolism, Gastroenterology, Hematology, Endocrine and Autonomic Systems and Genetics, having authored 231 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (21 papers), Metabolism, Diabetes, and Cancer (20 papers), Adipose Tissue and Metabolism (20 papers), Diabetes Management and Research (18 papers), Acute Myeloid Leukemia Research (15 papers), Pancreatic function and diabetes (15 papers), Helicobacter pylori-related gastroenterology studies (14 papers) and Adipokines, Inflammation, and Metabolic Diseases (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Endocrine and Autonomic Systems (446 citations), Gastroenterology (300 citations), Surgery (1.9k citations) and Physiology (1.1k citations). S. Raptis has collaborated with scholars based in Greece, Germany and United States. Frequent co-authors include Panagiota Mitrou, Eirini Maratou, George Dimitriadis, Eleni Boutati, Vaia Lambadiari, Μelpomeni Peppa, George Dimitriadis, Theofanis Economopoulos, Anna D. Panani and Spiros D. Ladas. Their work appears in journals such as European Journal of Endocrinology, Hormone and Metabolic Research, Metabolism, Journal of Molecular Medicine and The Journal of Clinical Endocrinology & Metabolism.

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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