Gergely Kriván

142 total papers · 2.0k total citations
57 papers, 444 citations indexed

About

Gergely Kriván is a scholar working on Hematology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gergely Kriván has authored 57 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 24 papers in Immunology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gergely Kriván's work include Immunodeficiency and Autoimmune Disorders (15 papers), Acute Lymphoblastic Leukemia research (8 papers) and Complement system in diseases (7 papers). Gergely Kriván is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (15 papers), Acute Lymphoblastic Leukemia research (8 papers) and Complement system in diseases (7 papers). Gergely Kriván collaborates with scholars based in Hungary, Germany and United States. Gergely Kriván's co-authors include Krisztián Kállay, János Sinkó, Vera Goda, Katalin Csordás, Michael G. Ison, Péter Szakály, Regina Dutkowski, Ewa Bernatowska, Michal Shapira and György Sinkovits and has published in prestigious journals such as Blood, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Gergely Kriván

48 papers receiving 436 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 Kriván 157 153 112 112 68 57 444
Laurence Clément 120 0.8× 166 1.1× 127 1.1× 127 1.1× 59 0.9× 34 430
Irina Zaidman 133 0.8× 144 0.9× 71 0.6× 69 0.6× 61 0.9× 47 433
Vedat Uygun 110 0.7× 174 1.1× 79 0.7× 85 0.8× 59 0.9× 57 480
Joerg Krueger 103 0.7× 149 1.0× 189 1.7× 65 0.6× 77 1.1× 59 457
Alexandra Laberko 259 1.6× 250 1.6× 82 0.7× 69 0.6× 65 1.0× 38 396
Gülsün Karasu 101 0.6× 147 1.0× 78 0.7× 55 0.5× 54 0.8× 46 395
Tai Ju Hwang 73 0.5× 125 0.8× 64 0.6× 50 0.4× 42 0.6× 67 397
Enrico Maffini 126 0.8× 201 1.3× 152 1.4× 83 0.7× 29 0.4× 35 451
Michael M. Schündeln 97 0.6× 80 0.5× 160 1.4× 60 0.5× 62 0.9× 29 471
Kuang‐Yueh Chiang 141 0.9× 226 1.5× 121 1.1× 43 0.4× 72 1.1× 31 476

Countries citing papers authored by Gergely Kriván

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Kriván

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Kriván

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