Gergely Groma

41 total papers · 565 total citations
21 papers, 382 citations indexed

About

Gergely Groma is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Gergely Groma has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 6 papers in Immunology and Allergy. Recurrent topics in Gergely Groma's work include Cell Adhesion Molecules Research (6 papers), Epigenetics and DNA Methylation (3 papers) and Dermatology and Skin Diseases (3 papers). Gergely Groma is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Epigenetics and DNA Methylation (3 papers) and Dermatology and Skin Diseases (3 papers). Gergely Groma collaborates with scholars based in Hungary, Germany and Spain. Gergely Groma's co-authors include Lajos Kemény, Gyõzõ Szolnoky, Zsuzsanna Bata‐Csörgõ, Kornélia Szabó, Máté Manczinger, Márta Széll, Z. Balog, Bent Brachvogel, Mats Paulsson and Attila Bebes and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gergely Groma

20 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
Gergely Groma 143 108 106 75 73 21 382
Kimio Fujii 63 0.4× 73 0.7× 128 1.2× 77 1.0× 57 0.8× 25 347
Gareth W. Fearnley 78 0.5× 108 1.0× 256 2.4× 34 0.5× 51 0.7× 19 413
Xianyong Yin 47 0.3× 201 1.9× 101 1.0× 79 1.1× 58 0.8× 28 399
B. McLaughlin 88 0.6× 115 1.1× 158 1.5× 36 0.5× 31 0.4× 16 342
Rahel Mathew 67 0.5× 37 0.3× 163 1.5× 47 0.6× 51 0.7× 14 344
Hui Cheng 55 0.4× 255 2.4× 82 0.8× 71 0.9× 135 1.8× 32 408
Bianca Saveria Fioretto 58 0.4× 74 0.7× 160 1.5× 33 0.4× 109 1.5× 32 395
Claire Drullion 44 0.3× 122 1.1× 184 1.7× 136 1.8× 45 0.6× 17 436
Can Wang 48 0.3× 62 0.6× 132 1.2× 40 0.5× 33 0.5× 19 396
Young Rae Ji 66 0.5× 78 0.7× 216 2.0× 15 0.2× 34 0.5× 23 439

Countries citing papers authored by Gergely Groma

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Groma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Groma

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