Guangyong Ma

23 total papers · 1.4k total citations
16 papers, 417 citations indexed

About

Guangyong Ma is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Guangyong Ma has authored 16 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 12 papers in Agronomy and Crop Science and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Guangyong Ma's work include T-cell and Retrovirus Studies (13 papers), Animal Disease Management and Epidemiology (12 papers) and Vector-Borne Animal Diseases (10 papers). Guangyong Ma is often cited by papers focused on T-cell and Retrovirus Studies (13 papers), Animal Disease Management and Epidemiology (12 papers) and Vector-Borne Animal Diseases (10 papers). Guangyong Ma collaborates with scholars based in Japan, China and Germany. Guangyong Ma's co-authors include Masao Matsuoka, Jun‐ichirou Yasunaga, Jun Fan, Shin-ichi Yanagawa, Jean‐Pierre Vartanian, Simon Wain–Hobson, Kisato Nosaka, Yorifumi Satou, Atsushi Koito and Hirofumi Akari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Oncogene.

In The Last Decade

Guangyong Ma

16 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Guangyong Ma	319	264	253	76	30	16	417
Hicham H. Baydoun	279 0.9×	192 0.7×	188 0.7×	127 1.7×	45 1.5×	14	425
Laurie M. Connor	324 1.0×	250 0.9×	238 0.9×	118 1.6×	38 1.3×	8	452
Andrea K. Thoma‐Kress	316 1.0×	214 0.8×	192 0.8×	116 1.5×	45 1.5×	28	463
S M Pettiford	256 0.8×	167 0.6×	174 0.7×	145 1.9×	21 0.7×	9	401
Estelle Chiari	231 0.7×	151 0.6×	142 0.6×	166 2.2×	18 0.6×	10	392
M. Colgin	216 0.7×	266 1.0×	159 0.6×	89 1.2×	18 0.6×	18	456
Mohamed Mahgoub	240 0.8×	198 0.8×	191 0.8×	151 2.0×	13 0.4×	9	409
M C Dokhélar	307 1.0×	170 0.6×	165 0.7×	78 1.0×	20 0.7×	11	459
Claire Guillerm	197 0.6×	118 0.4×	123 0.5×	110 1.4×	60 2.0×	7	372
Kiyoshi Kurihara	323 1.0×	235 0.9×	241 1.0×	43 0.6×	30 1.0×	20	448

Countries citing papers authored by Guangyong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Guangyong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyong Ma

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