Xiaolin Yang

797 citations
34 papers · 597 · h-index 10

Impact in

Papers in

Xiaolin Yang

33 papers receiving 591 citations

Peers

Xiaolin Yang
Comparison fields: 5 of 72
  • Infectious Diseases 197
  • Sensory Systems 23
  • Structural Biology 9
  • Organic Chemistry 82
  • Computational Theory and Mathematics 41
Replace Miłosz Wieczór with:
Miłosz Wieczór Poland
Donna Matzov Israel
Martin J. McPhillie United Kingdom
Johannes D. Clausen Denmark
Yihu Yang China
Romain Veyron‐Churlet France
M. P. Mingeot-Leclercq Belgium
Ana Ribeiro Italy
Lorenzo Di Rienzo Italy
Dale F. Kreitler United States
Xiaolin Yang relative to Miłosz Wieczór Poland Miłosz Wieczór's profile →
Citations per field
00.5×2×4×6×7.7×
Miłosz Wieczór · 1×
Citations per year

Countries citing papers authored by Xiaolin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019202
2 2014113
3 202038
4 201535
5 201928
6 202128
7 201819
8 202416
9 202111
10 202411
11 202310
12 20149
13 20179
14 20229
15 20218
16 20238
17 20236
18 20246
19 20185
20 20205

About Xiaolin Yang

Xiaolin Yang is a scholar working on Infectious Diseases, Oncology, Materials Chemistry, Animal Science and Zoology and Agronomy and Crop Science, having authored 34 papers that have together received 597 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Enzyme Structure and Function (6 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Animal Nutrition and Physiology (2 papers), Particle Detector Development and Performance (1 paper), Rabbits: Nutrition, Reproduction, Health (1 paper) and Chemical Synthesis and Reactions (1 paper). The work is most often cited by research in Infectious Diseases (197 citations), Sensory Systems (23 citations), Structural Biology (9 citations), Organic Chemistry (82 citations) and Computational Theory and Mathematics (41 citations). Xiaolin Yang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Zihe Rao, Xiuna Yang, Luke W. Guddat, Bing Zhang, Haitao Yang, Jun Li, Yao Zhao, Lei Wang, Yushan Zhu and Zhonghua Wang. Their work appears in journals such as Protein & Cell, Frontiers in Veterinary Science, Proceedings of the National Academy of Sciences, Nature Structural & Molecular Biology and Science Advances.

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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