Xiaolin Yang

772 citations
35 papers · 539 · h-index 10

Impact in

Papers in

Xiaolin Yang

29 papers receiving 534 citations

Peers

Xiaolin Yang
Comparison fields: 5 of 88
  • Infectious Diseases 196
  • Molecular Medicine 47
  • Molecular Biology 291
  • Epidemiology 130
  • Clinical Biochemistry 18
Replace Celina E. Castuma with:
Celina E. Castuma Argentina
Monique J. Williams South Africa
Cynthia M. Holsclaw United States
Michael W. Schelle United States
Donghua Wen China
Maria Podinovskaia United Kingdom
Petra Hildebrandt Germany
Fiona L. Lin United States
Motoko Watanabe Japan
Brett M. Babin United States
Xiaolin Yang relative to Celina E. Castuma Argentina Celina E. Castuma's profile →
Citations per field
00.5×5.6×
Celina E. Castuma · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019183
2 2014102
3 201535
4 202034
5 200926
6 201924
7 202122
8 201817
9 202414
10 20149
11 20229
12 20178
13 20237
14 20217
15 20236
16 20246
17 20235
18 20205
19 20244
20 20242

About Xiaolin Yang

Xiaolin Yang is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Materials Chemistry and Oncology, having authored 35 papers that have together received 539 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Bacterial Genetics and Biotechnology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Infectious Diseases (196 citations), Molecular Medicine (47 citations), Molecular Biology (291 citations), Epidemiology (130 citations) and Clinical Biochemistry (18 citations). Xiaolin Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zihe Rao, Xiuna Yang, Bing Zhang, Luke W. Guddat, Haitao Yang, Jun Li, Yao Zhao, Yushan Zhu, Siwei Li and Ying Liu. Their work appears in journals such as Protein & Cell, Proceedings of the National Academy of Sciences, Frontiers in Veterinary Science, Solar Physics and Insect Science.

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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