Xiaoying Yu

6.0k citations
165 papers · 3.7k · h-index 32

Impact in

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

Papers in

Xiaoying Yu

147 papers receiving 3.6k citations

Peers

Xiaoying Yu
Comparison fields: 5 of 179
  • Infectious Diseases 713
  • Hematology 395
  • Virology 97
  • Geochemistry and Petrology 122
  • Immunology 394
Replace Francesco Donato with:
Francesco Donato Italy
Marco De Santis Italy
Mohammadreza Ardalan Iran
David J. Tollerud United States
Meredith S. Shiels United States
Hillel S. Koren United States
John Μ. Pettifor South Africa
Amirul Islam Australia
Graham Law United Kingdom
Línda Morris Brown United States
Xiaoying Yu relative to Francesco Donato Italy Francesco Donato's profile →
Citations per field
00.5×6.8×
Francesco Donato · 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 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007436
2 1999162
3 2019145
4 2017140
5 2018132
6 2015131
7 2014126
8 2015101
9 201494
10 201589
11 201985
12 200784
13 201573
14 201469
15 201767
16 201067
17 200966
18 201565
19 201861
20 202159

About Xiaoying Yu

Xiaoying Yu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Plant Science, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 165 papers that have together received 3.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (20 papers), HIV/AIDS Research and Interventions (12 papers), HIV Research and Treatment (8 papers), Plant Gene Expression Analysis (6 papers), HIV-related health complications and treatments (6 papers), Adolescent Sexual and Reproductive Health (4 papers), Epigenetics and DNA Methylation (4 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (713 citations), Hematology (395 citations), Virology (97 citations), Geochemistry and Petrology (122 citations) and Immunology (394 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, Saeed Ahmed, Maria H. Kim, 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, Urology, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS ONE and Horticulturae.

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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