Xumin Ou

2.4k citations
145 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

Xumin Ou

138 papers receiving 1.7k citations

Xumin Ou's Hit Papers

Estimating the Global Prevalence, Disease Progression, and Clinical Outcome of Hepatitis Delta Virus Infection 2019 · 251 citations
2510+2+4Years since publication50100150200250

Peers

Xumin Ou
Comparison fields: 5 of 88
  • Hepatology 206
  • Molecular Medicine 131
  • Animal Science and Zoology 260
  • Microbiology 128
  • Infectious Diseases 326
Replace Kunfeng Sun with:
Kunfeng Sun China
Sai Mao China
Di Sun China
Juan Huang China
Hyuk‐Joon Kwon South Korea
Abbas Doosti Iran
Leichang Pan China
Mohammed Ignatius Adah Nigeria
Gerasimos Lecatsas South Africa
Xumin Ou relative to Kunfeng Sun China Kunfeng Sun's profile →
Citations per field
00.5×2×4×5.6×
Kunfeng Sun · 1×
Citations per year

Countries citing papers authored by Xumin Ou

Since Specialization
Citations

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

Fields of papers citing papers by Xumin Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimating the Global Prevalence, Disease Progression, and Clinical Outcome of Hepatitis Delta Virus Infection
Hit paper breakdown →
2019251
2 202079
3 202070
4 202244
5 202339
6 201937
7 202135
8 201631
9 202030
10 201729
11 202229
12 202026
13 201726
14 201623
15 202121
16 201920
17 201819
18 201619
19 202019
20 201718

About Xumin Ou

Xumin Ou is a scholar working on Animal Science and Zoology, Epidemiology, Cardiology and Cardiovascular Medicine, Immunology and Infectious Diseases, having authored 145 papers that have together received 1.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (47 papers), Viral Infections and Immunology Research (37 papers), Animal Virus Infections Studies (32 papers), Viral gastroenteritis research and epidemiology (21 papers), interferon and immune responses (21 papers), Cytomegalovirus and herpesvirus research (18 papers), Microbial infections and disease research (13 papers) and Antibiotic Resistance in Bacteria (13 papers). The work is most often cited by research in Hepatology (206 citations), Molecular Medicine (131 citations), Animal Science and Zoology (260 citations), Microbiology (128 citations) and Infectious Diseases (326 citations). Xumin Ou has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Anchun Cheng, Shun Chen, Mafeng Liu, Renyong Jia, Dekang Zhu, Qiuwei Pan, Sai Mao, Maikel Petrus Peppelenbosch, Qiao Yang and Xinxin Zhao. Their work appears in journals such as Frontiers in Microbiology, Poultry Science, Veterinary Research, Frontiers in Immunology and Microbiology Spectrum.

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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