Xien Gui

563 citations
22 papers · 412 · h-index 13

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • COVID-19 Clinical Research Studies
    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology

Papers in

Xien Gui

21 papers receiving 395 citations

Peers

Xien Gui
Comparison fields: 5 of 64
  • Virology 52
  • Infectious Diseases 166
  • Hepatology 45
  • Epidemiology 183
  • Immunology 64
Replace C. Smacchia with:
C. Smacchia Italy
Niamh M. Keane Australia
Alessandra Vergori Italy
Kathryn M. Zunich United States
Thomas Wendland Switzerland
Ángel Bulnes‐Ramos Spain
Howard D. Strickler United States
Luigi Atripaldi Italy
Francesca Falasca Italy
Teresa Aldámiz‐Echevarría Spain
Xien Gui relative to C. Smacchia Italy C. Smacchia's profile →
Citations per field
00.5×10×16×
C. Smacchia · 1×
Citations per year

Countries citing papers authored by Xien Gui

Since Specialization
Citations

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

Fields of papers citing papers by Xien Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2
Drug-resistant tuberculosis in Shanghai, China, 2000-2006: prevalence, trends and risk factors.
200948
3 198342
4 201441
5 200932
6 201526
7 201824
8 201321
9 198221
10 198319
11 200818
12 200512
13 202112
14 20166
15 20244
16 20194
17
The prevalence of HCV, HIV and HBV among paid blood donors
20013
18 20223
19
[Potential role of gut peptides in stress-induced colonic motor disorder].
19973
20 20231

About Xien Gui

Xien Gui is a scholar working on Epidemiology, Infectious Diseases, Virology, Immunology and Hepatology, having authored 22 papers that have together received 412 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis C virus research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Virology (52 citations), Infectious Diseases (166 citations), Hepatology (45 citations), Epidemiology (183 citations) and Immunology (64 citations). Xien Gui has collaborated with scholars based in China, United States and India. Frequent co-authors include M. Ho, Charles R. Rinaldo, Ke Zhuang, R L DeBiasio, Rongrong Yang, Fengliang Li, Yun Zhou, Shicheng Gao, Po Tien and Qian Cao. Their work appears in journals such as Infection and Immunity, Scientific Reports, European Journal of Pediatrics, PLoS ONE and Journal of Neuroimmune Pharmacology.

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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