Xiaoying Yu

5.8k citations
164 papers · 3.6k · h-index 31

Impact in

    • HIV/AIDS Research and Interventions
    • Parvovirus B19 Infection Studies
  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research

Papers in

Xiaoying Yu

142 papers receiving 3.5k citations

Peers

Xiaoying Yu
Comparison fields: 5 of 181
  • Infectious Diseases 869
  • Hematology 401
  • Virology 144
  • Immunology 468
  • Geochemistry and Petrology 123
Replace Susan Preston‐Martin with:
Susan Preston‐Martin United States
Francesco Donato Italy
Sunil Gupta India
Mehdi Nouraie United States
Amirul Islam Australia
Marco De Santis Italy
Minxue Shen China
Meredith S. Shiels United States
David J. Tollerud United States
Nan Li China
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Citations per field
00.5×7.7×
Susan Preston‐Martin · 1×
Citations per year

Countries citing papers authored by Xiaoying Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007430
2 1999163
3 2019143
4 2017137
5 2015129
6 2018127
7 2014122
8 2015100
9 201494
10 201586
11 201984
12 200784
13 201573
14 200966
15 201065
16 201764
17 201464
18 201562
19 201859
20 202157

About Xiaoying Yu

Xiaoying Yu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 164 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (20 papers), HIV/AIDS Research and Interventions (19 papers), Prostate Cancer Treatment and Research (14 papers), Adolescent Sexual and Reproductive Health (11 papers), HIV Research and Treatment (9 papers), HIV-related health complications and treatments (9 papers), Urologic and reproductive health conditions (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Infectious Diseases (869 citations), Hematology (401 citations), Virology (144 citations), Immunology (468 citations) and Geochemistry and Petrology (123 citations). Xiaoying Yu has collaborated with scholars based in United States, China and Malawi. Frequent co-authors include Claudia A. Kozinetz, Carl E. Allen, Kenneth L. McClain, Maria H. Kim, Saeed Ahmed, Peter N. Kazembe, William J. Catàlona, Kimberly A. Roehl, Alick Mazenga and Hashem B. El‐Serag. Their work appears in journals such as The Journal of Urology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Urology, Horticulturae and Plants.

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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