Ting Wu

5.2k citations
140 papers · 2.0k indexed · h-index 25

Impact in

  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Viral gastroenteritis research and epidemiology

Papers in

    • Hepatitis Viruses Studies and Epidemiology 31
    • Liver Disease and Transplantation 15
    • Viral gastroenteritis research and epidemiology 18

Ting Wu

131 papers receiving 2.0k citations

Peers

Ting Wu
Comparison fields: 5 of 141
  • Hepatology 804
  • Infectious Diseases 774
  • Epidemiology 678
  • Small Animals 89
  • Immunology 176
Replace Ana Gaspar with:
Ana Gaspar Brazil
Chunyan Wang China
Marta Canuti Canada
Baoju Wang China
Ming Wang China
Gerardo Guillén Cuba
Mark W. Douglas Australia
Justin G. Julander United States
Ricardo Palácios Spain
Baba M Japan
Ting Wu relative to Ana Gaspar Brazil Ana Gaspar's profile →
Citations per field
00.5×6.9×
Ana Gaspar · 1×
Citations per year

Countries citing papers authored by Ting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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11 202315
12 20231
13 202321
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15 202216
16 20225
17 20181
18 20178
19 20178
20 201053

About Ting Wu

Ting Wu is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Immunology and Small Animals, having authored 140 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (31 papers), Cervical Cancer and HPV Research (25 papers), Hepatitis B Virus Studies (22 papers), Viral gastroenteritis research and epidemiology (18 papers), Liver Disease and Transplantation (15 papers), Cytomegalovirus and herpesvirus research (13 papers), Immunotherapy and Immune Responses (10 papers) and Herpesvirus Infections and Treatments (9 papers). The work is most often cited by research in Hepatology (804 citations), Infectious Diseases (774 citations), Epidemiology (678 citations), Small Animals (89 citations) and Immunology (176 citations). Ting Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Zhang, Ningshao Xia, Qinjian Zhao, Mun‐Hon Ng, Shoujie Huang, Shaowei Li, Xianxin Hua, Fengcai Zhu, Shu Chen and Yuqing Yang. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Emerging Microbes & Infections, Vaccine, The Journal of Infectious Diseases and Clinical Microbiology and Infection.

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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