Ting Wan

3.4k citations
115 papers · 2.6k · h-index 30

Impact in

    • Endometrial and Cervical Cancer Treatments
  • Immunology top 5%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Cell Function and Interaction

Papers in

Ting Wan

110 papers receiving 2.5k citations

Peers

Ting Wan
Comparison fields: 5 of 116
  • Obstetrics and Gynecology 232
  • Immunology 503
  • Geriatrics and Gerontology 67
  • Reproductive Medicine 153
  • Cancer Research 252
Replace Qingmin Sun with:
Qingmin Sun China
Guoxiong Xu China
Yi Min Zhu China
Lin Zhou China
Aria Masoudifar Iran
Xiaohua Jiang United States
Qing Song China
Quan Hong China
Ting Wan relative to Qingmin Sun China Qingmin Sun's profile →
Citations per field
00.5×2×3.4×
Qingmin Sun · 1×
Citations per year

Countries citing papers authored by Ting Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013197
2 2018150
3 202183
4 201582
5 201980
6 200875
7 200872
8 202072
9 201971
10 202171
11 201662
12 200957
13 201755
14 201554
15 202052
16 200950
17 201947
18 201446
19 202244
20 201742

About Ting Wan

Ting Wan is a scholar working on Obstetrics and Gynecology, Cancer Research, Reproductive Medicine, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (14 papers), Ovarian cancer diagnosis and treatment (9 papers), Corneal surgery and disorders (9 papers), Cancer-related molecular mechanisms research (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Lung Cancer Research Studies (5 papers), Ophthalmology and Visual Impairment Studies (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Obstetrics and Gynecology (232 citations), Immunology (503 citations), Geriatrics and Gerontology (67 citations), Reproductive Medicine (153 citations) and Cancer Research (252 citations). Ting Wan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jihong Liu, Xiuming Jin, Nengzhi Pang, Min Wang, Yuanling Huang, Zhenfeng Zhang, Sufan Wang, He Huang, Qidan Huang and Yingying Zhao. Their work appears in journals such as Frontiers in Immunology, BMC Ophthalmology, Gynecologic Oncology, Current Eye Research and Annals of Oncology.

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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