Mingjun Su

959 citations
28 papers · 699 indexed · h-index 16

Impact in

Papers in

Mingjun Su

28 papers receiving 693 citations

Peers

Mingjun Su
Comparison fields: 5 of 64
  • Animal Science and Zoology 570
  • Infectious Diseases 521
  • Genetics 417
  • Cardiology and Cardiovascular Medicine 91
  • Agronomy and Crop Science 21
Replace Honglei Zhang with:
Honglei Zhang China
Yujuan Niu China
Zhongbao Song China
Sujie Dong China
Xinliang Fu China
Dongliang Wang China
Hua Feng China
Kang An China
Paul A. Kapke United States
Zhou Shen China
Mingjun Su relative to Honglei Zhang China Honglei Zhang's profile →
Citations per field
00.5×1.5×1.8×
Honglei Zhang · 1×
Citations per year

Countries citing papers authored by Mingjun Su

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingjun Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingjun Su Line = papers co-authored together Mingjun Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 201573
3 201967
4 201852
5 202151
6 202041
7 201539
8 201732
9 201630
10 201930
11 201929
12 201525
13 202022
14 202120
15 201618
16 201816
17 202313
18 202410
19 20219
20 20237

About Mingjun Su

Mingjun Su is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 28 papers that have together received 699 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (19 papers), Virus-based gene therapy research (17 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (3 papers), Animal Disease Management and Epidemiology (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Animal Science and Zoology (570 citations), Infectious Diseases (521 citations), Genetics (417 citations), Cardiology and Cardiovascular Medicine (91 citations) and Agronomy and Crop Science (21 citations). Mingjun Su has collaborated with scholars based in China, Vietnam and United States. Frequent co-authors include Dongbo Sun, Donghua Guo, Chunqiu Li, Li Feng, Shanshan Qi, Wei Shan, Fanzhi Kong, Baishuang Yin, Enyu Wang and Xiwen Zhao. Their work appears in journals such as Virus Research, Frontiers in Veterinary Science, Transboundary and Emerging Diseases, Microbial Pathogenesis and Veterinary Microbiology.

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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