Laszlo Gyenis

39 total papers · 1.4k total citations
33 papers, 954 citations indexed

About

Laszlo Gyenis is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Laszlo Gyenis has authored 33 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Laszlo Gyenis's work include Protein Kinase Regulation and GTPase Signaling (10 papers), Cancer-related Molecular Pathways (5 papers) and Wheat and Barley Genetics and Pathology (4 papers). Laszlo Gyenis is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (10 papers), Cancer-related Molecular Pathways (5 papers) and Wheat and Barley Genetics and Pathology (4 papers). Laszlo Gyenis collaborates with scholars based in Canada, United States and Poland. Laszlo Gyenis's co-authors include David W. Litchfield, Song Joong Yun, Gary J. Muehlbauer, Brian J. Steffenson, Kevin P. Smith, James S. Duncan, Maria Bretner, Iván Matus, Patrick M. Hayes and Jacob P. Turowec and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Laszlo Gyenis

31 papers receiving 942 citations

Author Peers

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

Author						Papers	Cites
Laszlo Gyenis	632	201	122	116	93	33	954
Laurent Paquereau	581 0.9×	132 0.7×	99 0.8×	91 0.8×	82 0.9×	39	927
Nozomu Hibi	526 0.8×	175 0.9×	141 1.2×	37 0.3×	66 0.7×	46	899
Ravi Ramesh Pathak	588 0.9×	237 1.2×	161 1.3×	60 0.5×	95 1.0×	41	1.1k
David E. Hanna	894 1.4×	127 0.6×	179 1.5×	132 1.1×	195 2.1×	22	1.1k
Jin Su	618 1.0×	410 2.0×	86 0.7×	56 0.5×	103 1.1×	33	1.1k
Gregory P. Donoho	693 1.1×	98 0.5×	233 1.9×	168 1.4×	73 0.8×	32	995
Wenjun Liu	557 0.9×	175 0.9×	77 0.6×	57 0.5×	71 0.8×	23	856
Rakesh Srivastava	556 0.9×	144 0.7×	165 1.4×	80 0.7×	82 0.9×	32	1.0k
Sen Zhang	787 1.2×	93 0.5×	161 1.3×	70 0.6×	106 1.1×	24	1.0k
Chung-Ming Lin	532 0.8×	167 0.8×	133 1.1×	114 1.0×	150 1.6×	23	987

Countries citing papers authored by Laszlo Gyenis

Since Specialization

Citations

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

Fields of papers citing papers by Laszlo Gyenis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laszlo Gyenis

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