Ting Tao

2.2k citations
74 papers · 1.4k indexed · h-index 26

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Behavioral Health and Interventions 7
    • MicroRNA in disease regulation 7
    • Cancer, Hypoxia, and Metabolism 5
    • Cancer-related molecular mechanisms research 4

Ting Tao

70 papers receiving 1.4k citations

Peers

Ting Tao
Comparison fields: 5 of 148
  • Cancer Research 264
  • Neurology 170
  • Molecular Biology 694
  • Cell Biology 154
  • Applied Psychology 47
Replace Sang Eun Kim with:
Sang Eun Kim South Korea
Lan Ye China
Linda H. Chung Spain
Allison Bailey United States
Yuan Miao China
Yun‐Ju Chen Taiwan
Jessica Brown United States
Qiong Yu China
Patrick Raynal France
Ru Yang China
Ting Tao relative to Sang Eun Kim South Korea Sang Eun Kim's profile →
Citations per field
00.5×1.5×
Sang Eun Kim · 1×
Citations per year

Countries citing papers authored by Ting Tao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 20249
5 20241
6 202312
7 20230
8 20232
9 202340
10 20238
11 20212
12 202144
13 202048
14 201814
15 201726
16 201713
17 201629
18 20148
19 201329
20 2009134

About Ting Tao

Ting Tao is a scholar working on Applied Psychology, Cancer Research, Experimental and Cognitive Psychology, Neurology and Molecular Biology, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (11 papers), Behavioral Health and Interventions (7 papers), MicroRNA in disease regulation (7 papers), Mental Health Research Topics (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer-related molecular mechanisms research (4 papers), Impact of Technology on Adolescents (4 papers) and Chromatin Remodeling and Cancer (3 papers). The work is most often cited by research in Cancer Research (264 citations), Neurology (170 citations), Molecular Biology (694 citations), Cell Biology (154 citations) and Applied Psychology (47 citations). Ting Tao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinrong Peng, Hui Shi, A. Thomas Look, Wenbin Gao, Mark W. Zimmerman, Jun Chen, Jiannong Shi, Adam D. Durbin, Delai Huang and Brian J. Abraham. Their work appears in journals such as PLoS ONE, High Ability Studies, Cell Research, Science Advances and Oncogene.

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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