George Hatzis

42 total papers · 587 total citations
15 papers, 399 citations indexed

About

George Hatzis is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Immunology. According to data from OpenAlex, George Hatzis has authored 15 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in George Hatzis's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). George Hatzis is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). George Hatzis collaborates with scholars based in Greece, United States and Germany. George Hatzis's co-authors include Dimitris Tousoulis, Νικόλαος Παπαγεωργίου, Emmanuel Androulakis, Αlexandros Briasoulis, Christodoulos Stefanadis, Θεοδώρα Ψαλτοπούλου, Gerasimos Siasos, Evangelos Oikonomou, Eleftherios Tsiamis and Georgios Bouras and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Pharmacology & Therapeutics.

In The Last Decade

George Hatzis

15 papers receiving 392 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 Hatzis 144 80 69 62 62 15 399
Arvind Bakhru 69 0.5× 64 0.8× 52 0.8× 63 1.0× 57 0.9× 15 425
Shani Botha 114 0.8× 74 0.9× 43 0.6× 45 0.7× 29 0.5× 19 379
Liu­xin Wu 160 1.1× 27 0.3× 88 1.3× 41 0.7× 76 1.2× 30 408
Věra Lánská 213 1.5× 28 0.3× 55 0.8× 86 1.4× 76 1.2× 24 413
Yikun Zhu 78 0.5× 57 0.7× 59 0.9× 31 0.5× 38 0.6× 19 358
Jeremiah Mwangi 125 0.9× 66 0.8× 75 1.1× 65 1.0× 116 1.9× 15 408
Ya-Ting Feng 77 0.5× 138 1.7× 47 0.7× 32 0.5× 48 0.8× 16 402
Jinghai Hua 133 0.9× 127 1.6× 70 1.0× 21 0.3× 54 0.9× 20 362
Feby Savira 110 0.8× 117 1.5× 31 0.4× 31 0.5× 36 0.6× 31 375
Alyson Kelley-Hedgepeth 163 1.1× 39 0.5× 103 1.5× 62 1.0× 54 0.9× 10 380

Countries citing papers authored by George Hatzis

Since Specialization
Citations

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

Fields of papers citing papers by George Hatzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Hatzis

This figure shows the co-authorship network connecting the top 25 collaborators of George Hatzis. A scholar is included among the top collaborators of George Hatzis 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 Hatzis. George Hatzis 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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