Xiaoping Wu

27 papers receiving 562 citations

Peers

Xiaoping Wu
Comparison fields: 5 of 80
  • Critical Care and Intensive Care Medicine 67
  • Neurology 109
  • Immunology 118
  • Emergency Medicine 40
  • Hematology 49
Replace Danielle A. S. Rodrigues with:
Danielle A. S. Rodrigues Brazil
Robin Verhaar Netherlands
Xiaoye Cheng China
Qiao Shi China
Ana Isabel Álvarez‐Ríos Spain
Kathy A. Bucknell United States
Minji Zou China
Amanda Z. Zucoloto Canada
Christelle Marie France
Setu M. Vora United States
Xiaoping Wu relative to Danielle A. S. Rodrigues Brazil Danielle A. S. Rodrigues's profile →
Citations per field
00.5×
Danielle A. S. Rodrigues · 1×
Citations per year

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoping Wu, 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 Xiaoping Wu Line = papers co-authored together Xiaoping Wu 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 2015131
2 201769
3 201864
4 201049
5 202036
6 201733
7 201725
8 201919
9 202216
10 201116
11 202215
12 201914
13 201613
14 201713
15 201911
16 201210
17 20189
18
[The Isolation and Identification of Infectious Bronchitis Virus PTFY Strain in Muscovy Ducks].
20164
19 20153
20 20173

About Xiaoping Wu

Xiaoping Wu is a scholar working on Immunology, Molecular Biology, Epidemiology, Pharmacology and Hematology, having authored 28 papers that have together received 565 indexed citations. Recurring topics across this work include Fungal Biology and Applications (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Herpesvirus Infections and Treatments (3 papers), Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers), Blood groups and transfusion (2 papers), Cancer-related Molecular Pathways (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (67 citations), Neurology (109 citations), Immunology (118 citations), Emergency Medicine (40 citations) and Hematology (49 citations). Xiaoping Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Perumal Thiagarajan, Zilong Zhao, Barbara A. Konkle, Yijian Wu, Quanxi Wang, Jing-fei Dong, Hengjie Yuan, Jing Yang, Ye Tian and Jianning Zhang. Their work appears in journals such as Blood, Virus Research, International Journal of Molecular Sciences, Veterinary Microbiology and JACC Basic to Translational 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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