Youming Wang

65 papers receiving 1.7k citations

Peers

Youming Wang
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 448
  • Agronomy and Crop Science 299
  • Physiology 623
  • Small Animals 160
  • Modeling and Simulation 82
Replace Jianxiong Xu with:
Jianxiong Xu China
Alexander Rodriguez‐Palacios United States
A.A. Beharka United States
David Wood Australia
Habib Rehman Pakistan
Wayne Young New Zealand
G.K. Gitau Kenya
Yong Zhuo China
Sayed Sartaj Sohrab Saudi Arabia
Youming Wang relative to Jianxiong Xu China Jianxiong Xu's profile →
Citations per field
00.5×10×15×20×23.6×
Jianxiong Xu · 1×
Citations per year

Countries citing papers authored by Youming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Youming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youming Wang, 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 Youming Wang Line = papers co-authored together Youming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001395
2 2000184
3 201394
4 201564
5 201663
6 201457
7 201456
8 201549
9 201043
10 201142
11 201341
12 201441
13 202041
14 200339
15 201338
16 201138
17 200938
18 201827
19 202024
20 201322

About Youming Wang

Youming Wang is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (26 papers), Influenza Virus Research Studies (15 papers), Viral Infections and Vectors (10 papers), Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Vector-Borne Animal Diseases (5 papers), Obstructive Sleep Apnea Research (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (448 citations), Agronomy and Crop Science (299 citations), Physiology (623 citations), Small Animals (160 citations) and Modeling and Simulation (82 citations). Youming Wang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Helmut Teschler, M Berthon-Jones, Xiangdong Sun, Baoxu Huang, Zhen Jin, A. F. Thilmann, Yizhen Wang, Zeqing Lu, Mingliang Jin and Andreas Schreiber. Their work appears in journals such as Transboundary and Emerging Diseases, Scientific Reports, Mathematical Biosciences, Preventive Veterinary Medicine and Carbohydrate Polymers.

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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