Zeng Tu

576 citations
30 papers · 373 · h-index 13

Impact in

Papers in

    • Hepatitis B Virus Studies 7
    • Viral Infections and Vectors 3
    • Viral gastroenteritis research and epidemiology 2
    • Clostridium difficile and Clostridium perfringens research 2

Zeng Tu

28 papers receiving 364 citations

Peers

Zeng Tu
Comparison fields: 5 of 70
  • Hepatology 52
  • Infectious Diseases 80
  • Epidemiology 116
  • Public Health, Environmental and Occupational Health 78
  • Virology 12
Replace Daniela Bender with:
Daniela Bender Germany
Fanfan Xing China
Qiangming Sun China
Hosam Zaghloul Egypt
Hong‐Jin Kim South Korea
Françoise Donnadieu France
Bernadien M. Nijmeijer Netherlands
Daisuke Mori Japan
Aurélie Ducroux France
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Zeng Tu relative to Daniela Bender Germany Daniela Bender's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zeng Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zeng Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 201735
3 201433
4 201829
5 201625
6 202324
7 202019
8 200816
9 202316
10 201914
11 202414
12 201413
13 201813
14 20249
15 20227
16 20227
17 20196
18 20236
19
[Cloning and phylogenetic analysis of small subunit ribosomal RNA core sequence of Vairimorpha ceraces (Microspora: Burenellidae) from the insect of Lepidoptera, Cerace Stipatana (Walker)].
20085
20 20224

About Zeng Tu

Zeng Tu is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Hepatology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 373 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers), Probiotics and Fermented Foods (3 papers), Gut microbiota and health (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Hepatology (52 citations), Infectious Diseases (80 citations), Epidemiology (116 citations), Public Health, Environmental and Occupational Health (78 citations) and Virology (12 citations). Zeng Tu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ailong Huang, Meiyu Fang, Zhijun Bai, Licheng Liu, Jieli Hu, Jinhua Liu, Weijun Chen, Yuan Hu, Yanmeng Chen and Jianwei Liu. Their work appears in journals such as Current Microbiology, Medicine, Virology Journal, International Journal of Infectious Diseases and JMIR Medical Education.

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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