Yan Tong

151 papers receiving 3.9k citations

Yan Tong's Hit Papers

Temporal and spatial trend analysis of all-cause depression burden based on Global Burden of Disease (GBD) 2019 study 2024 · 54 citations
540+1Years since publication1020304050

Peers

Yan Tong
Comparison fields: 5 of 178
  • Physiology 143
  • Oncology 705
  • Cancer Research 366
  • Cell Biology 296
  • Molecular Biology 1.2k
Replace Alastair G. Stewart with:
Alastair G. Stewart Australia
Philip Lazarus United States
Ciriaco Carru Italy
Fen Wang China
Yilin Zhang China
Eun‐Jung Rhee South Korea
Elizabeth J. Cartwright United Kingdom
Antonio Brunetti Italy
Mi Kyung Kim South Korea
Brian J. Morris Australia
Yan Tong relative to Alastair G. Stewart Australia Alastair G. Stewart's profile →
Citations per field
00.5×1.5×2.4×
Alastair G. Stewart · 1×
Citations per year

Countries citing papers authored by Yan Tong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005263
2 2005241
3 2014142
4 2014111
5 201693
6 201692
7 200491
8 201089
9 201681
10 201579
11 202277
12 200369
13 200669
14 201268
15 200168
16 201468
17 200865
18 201465
19 200964
20 201762

About Yan Tong

Yan Tong is a scholar working on Oncology, Molecular Biology, Epidemiology, Surgery and General Health Professions, having authored 157 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (22 papers), Genital Health and Disease (11 papers), Hepatitis B Virus Studies (11 papers), Corporate Finance and Governance (8 papers), Global Cancer Incidence and Screening (7 papers), Colorectal Cancer Screening and Detection (7 papers), Cancer Genomics and Diagnostics (7 papers) and Gastric Cancer Management and Outcomes (6 papers). The work is most often cited by research in Physiology (143 citations), Oncology (705 citations), Cancer Research (366 citations), Cell Biology (296 citations) and Molecular Biology (1.2k citations). Yan Tong has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zhiyuan Gong, Siew Hong Lam, Edison T. Liu, Patrick O. Monahan, Lance D. Miller, Yuanjin Zheng, Yi Lian Wu, K. R. K. Murthy, Susan M. Perkins and Kunde Ramamoorthy Govindarajan. Their work appears in journals such as Journal of Clinical Oncology, Journal of Adolescent Health, Journal of Medical Virology, The Journal of Infectious Diseases and Molecular Cancer Therapeutics.

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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