Ting He

958 citations
43 papers · 683 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Glioma Diagnosis and Treatment

Papers in

Ting He

38 papers receiving 678 citations

Peers

Ting He
Comparison fields: 5 of 106
  • Cancer Research 139
  • Genetics 64
  • Developmental Neuroscience 17
  • Molecular Biology 269
  • Radiology, Nuclear Medicine and Imaging 85
Replace Kaja Urbańska with:
Kaja Urbańska Poland
Aurelian Radu United States
Sander H. Diks Netherlands
Sabine Windhorst Germany
Kathryn A. Skelding Australia
Marie-Ève Paquet Canada
Dimitra Kalamida Greece
Lorella Vecchio Italy
Suresh Selvaraj India
Martin ter Beest Netherlands
Ting He relative to Kaja Urbańska Poland Kaja Urbańska's profile →
Citations per field
00.5×2.7×
Kaja Urbańska · 1×
Citations per year

Countries citing papers authored by Ting He

Since Specialization
Citations

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

Fields of papers citing papers by Ting He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201484
2 201260
3 201148
4 202145
5 201637
6 201032
7 201531
8 201631
9 202030
10 200925
11 202025
12 202224
13 201224
14 200922
15 201916
16 202215
17 202214
18 201613
19 202212
20 201811

About Ting He

Ting He is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 43 papers that have together received 683 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Ophthalmology and Visual Impairment Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Corneal surgery and disorders (3 papers), Plant Disease Resistance and Genetics (3 papers) and Wheat and Barley Genetics and Pathology (2 papers). The work is most often cited by research in Cancer Research (139 citations), Genetics (64 citations), Developmental Neuroscience (17 citations), Molecular Biology (269 citations) and Radiology, Nuclear Medicine and Imaging (85 citations). Ting He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan Fu, Nan Song, Rheal A. Towner, Lifang Guo, Sabrina Doblas, Lin Jia, Debra Saunders, Nataliya Smith, Shan Wang and Feifei Qi. Their work appears in journals such as Clinical Cancer Research, Infection and Drug Resistance, Scientific Reports, Research and Practice in Thrombosis and Haemostasis and RNA Biology.

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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