Xinan Wan

568 citations
12 papers · 435 · h-index 8

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Viral-associated cancers and disorders 3
    • Hepatitis B Virus Studies 2
    • Cervical Cancer and HPV Research 1

Xinan Wan

11 papers receiving 415 citations

Peers

Xinan Wan
Comparison fields: 5 of 75
  • Oncology 229
  • Virology 32
  • Pathology and Forensic Medicine 110
  • Complementary and alternative medicine 34
  • Epidemiology 90
Replace Goon Jae Cho with:
Goon Jae Cho South Korea
Anne Marie Young United Kingdom
Pieter Meyer South Africa
Franz Mosthaf Germany
Rhizlane Belbaraka Morocco
S M Devine United States
W. Mulder Netherlands
Xiaoguang Dou China
Aysel Ülker Türkiye
Harald E. Fischer United States
Xinan Wan relative to Goon Jae Cho South Korea Goon Jae Cho's profile →
Citations per field
00.5×8.5×
Goon Jae Cho · 1×
Citations per year

Countries citing papers authored by Xinan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xinan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1999164
2 2000112
3 200839
4 200832
5 199232
6 199417
7 199713
8 202210
9 19936
10
Hepatitis B in Aboriginal Australians
19906
11 20254
12 20250

About Xinan Wan

Xinan Wan is a scholar working on Oncology, Epidemiology, Complementary and alternative medicine, Surgery and Molecular Biology, having authored 12 papers that have together received 435 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (3 papers), Hepatitis B Virus Studies (2 papers), Traditional Chinese Medicine Analysis (2 papers), Cervical Cancer and HPV Research (1 paper), Opioid Use Disorder Treatment (1 paper), Genital Health and Disease (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Cassava research and cyanide (1 paper). The work is most often cited by research in Oncology (229 citations), Virology (32 citations), Pathology and Forensic Medicine (110 citations), Complementary and alternative medicine (34 citations) and Epidemiology (90 citations). Xinan Wan has collaborated with scholars based in China, Australia and Ireland. Frequent co-authors include Andrew E. Grulich, Matthew Law, John Kaldor, Marylon Coates, John D. Mathews, Shaohua Xu, Julian Gold, David A. Cooper, Robert Finlayson and Roger Garsia. Their work appears in journals such as AIDS, Biochemical and Biophysical Research Communications, Frontiers in Oncology, The Medical Journal of Australia and Diseases of the Esophagus.

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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