Tamás G. Görcs

9 total papers · 482 total citations
8 papers, 414 citations indexed

About

Tamás G. Görcs is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, Tamás G. Görcs has authored 8 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Tamás G. Görcs's work include Neuropeptides and Animal Physiology (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Stress Responses and Cortisol (2 papers). Tamás G. Görcs is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Stress Responses and Cortisol (2 papers). Tamás G. Görcs collaborates with scholars based in Hungary, United States and United Kingdom. Tamás G. Görcs's co-authors include Katalin Köves, Akira Arimura, Anikó Somogyvári-Vigh, Miklós Palkovits, W. Scott Young, Csaba Leranth, György Székely, Miklós Antal, Paul E. Gottschall and Jonathan G. Scammell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and Peptides.

In The Last Decade

Tamás G. Görcs

8 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Tamás G. Görcs	330	156	130	103	70	8	414
Mariko Usui	218 0.7×	116 0.7×	75 0.6×	94 0.9×	134 1.9×	5	449
Chihiro Kawaguchi	359 1.1×	195 1.3×	80 0.6×	98 1.0×	38 0.5×	12	447
Maryann A. Romagnano	318 1.0×	159 1.0×	57 0.4×	62 0.6×	44 0.6×	10	461
Melissa Moholt-Siebert	141 0.4×	176 1.1×	138 1.1×	42 0.4×	37 0.5×	8	480
Brittni M. Peterson	218 0.7×	121 0.8×	75 0.6×	113 1.1×	99 1.4×	10	469
L. A. Goldstein	140 0.4×	89 0.6×	180 1.4×	92 0.9×	58 0.8×	8	376
Jean‐Louis Thoumas	184 0.6×	90 0.6×	33 0.3×	99 1.0×	103 1.5×	11	392
Yasuhiko Ibata	302 0.9×	108 0.7×	84 0.6×	114 1.1×	31 0.4×	14	460
G. Clarissa Desjardins	204 0.6×	111 0.7×	93 0.7×	76 0.7×	82 1.2×	12	456
Hanako Shikimi	147 0.4×	91 0.6×	58 0.4×	50 0.5×	81 1.2×	7	402

Countries citing papers authored by Tamás G. Görcs

Since Specialization

Citations

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

Fields of papers citing papers by Tamás G. Görcs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamás G. Görcs. 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 Tamás G. Görcs. The network helps show where Tamás G. Görcs may publish in the future.

Co-authorship network of co-authors of Tamás G. Görcs

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás G. Görcs. A scholar is included among the top collaborators of Tamás G. Görcs 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 Tamás G. Görcs. Tamás G. Görcs 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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