George Valsamakis

33 total papers · 1.3k total citations
25 papers, 968 citations indexed

About

George Valsamakis is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, George Valsamakis has authored 25 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in George Valsamakis's work include Adipose Tissue and Metabolism (6 papers), Birth, Development, and Health (6 papers) and Pregnancy and preeclampsia studies (5 papers). George Valsamakis is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Birth, Development, and Health (6 papers) and Pregnancy and preeclampsia studies (5 papers). George Valsamakis collaborates with scholars based in Greece, United Kingdom and Saudi Arabia. George Valsamakis's co-authors include Sudhesh Kumar, George Mastorakos, Anthony Barnett, Philip G. McTernan, Christina Kanaka‐Gantenbein, Rajkumar Chetty, Alison L. Harte, Ffolliott M. Fisher, Penny Clark and C. L. McTernan and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Endocrinology.

In The Last Decade

George Valsamakis

25 papers receiving 920 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
George Valsamakis 352 286 283 138 135 25 968
C. L. McTernan 537 1.5× 430 1.5× 270 1.0× 202 1.5× 96 0.7× 12 1.1k
Miguel Valle 311 0.9× 297 1.0× 218 0.8× 140 1.0× 41 0.3× 24 908
Samantha Hocking 270 0.8× 444 1.6× 227 0.8× 94 0.7× 61 0.5× 54 1.1k
Donatella Gniuli 132 0.4× 581 2.0× 304 1.1× 191 1.4× 68 0.5× 24 1.1k
Isabel Viola Wagner 189 0.5× 421 1.5× 163 0.6× 111 0.8× 75 0.6× 29 922
H. Hämäläinen 180 0.5× 322 1.1× 336 1.2× 44 0.3× 72 0.5× 34 1.2k
Beata Telejko 254 0.7× 222 0.8× 240 0.8× 254 1.8× 86 0.6× 59 1.2k
Jing Cheng 177 0.5× 154 0.5× 222 0.8× 143 1.0× 87 0.6× 48 894
J.-P. Bastard 429 1.2× 394 1.4× 354 1.3× 43 0.3× 54 0.4× 17 1.2k
Janet M. Bryson 233 0.7× 386 1.3× 476 1.7× 149 1.1× 30 0.2× 32 1.1k

Countries citing papers authored by George Valsamakis

Since Specialization
Citations

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

Fields of papers citing papers by George Valsamakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Valsamakis

This figure shows the co-authorship network connecting the top 25 collaborators of George Valsamakis. A scholar is included among the top collaborators of George Valsamakis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George Valsamakis. George Valsamakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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