Guangyong Ma

1.4k citations
16 papers · 417 indexed · h-index 10
Topics
T-cell and Retrovirus Studies (13 papers)Animal Disease Management and Epidemiology (12 papers)Vector-Borne Animal Diseases (10 papers)
Partner nations
JapanChinaSpain

In The Last Decade

Guangyong Ma

16 papers receiving 415 citations

Peers

Guangyong Ma
Comparison fields: 5 of 49
  • Immunology 318
  • Agronomy and Crop Science 263
  • Ecology, Evolution, Behavior and Systematics 252
  • Molecular Biology 76
  • Oncology 31
Replace Andrea K. Thoma‐Kress with:
Andrea K. Thoma‐Kress Germany
Rie Furuta Japan
Abel Ureta‐Vidal France
Aviva Witkover United Kingdom
S M Pettiford United States
R. Kettmann Belgium
Vincent Hahaut Belgium
Daisuke Kodama Japan
Mohamed Mahgoub Japan
Patrick Hivin France
Guangyong Ma relative to Andrea K. Thoma‐Kress Germany Andrea K. Thoma‐Kress's profile →
Citations per field
00.5×1.5×
Andrea K. Thoma‐Kress · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 11
4 13
5 35
6 13
7 9
8 95
9 24
10 4
11 9
12 2
13 2
14 38
15 65
16 95

About Guangyong Ma

Guangyong Ma is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 417 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (13 papers), Animal Disease Management and Epidemiology (12 papers) and Vector-Borne Animal Diseases (10 papers). The work is most often cited by research in Agronomy and Crop Science (263 citations), Immunology (318 citations) and Ecology, Evolution, Behavior and Systematics (252 citations). Guangyong Ma has collaborated with scholars based in Japan, China and Spain. Frequent co-authors include Masao Matsuoka, Jun‐ichirou Yasunaga, Jun Fan, Shin-ichi Yanagawa, Atsushi Koito, Yorifumi Satou, Jean‐Pierre Vartanian, Simon Wain–Hobson, Kisato Nosaka and Hirofumi Akari. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Oncogene.

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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