Ting He

997 citations
43 papers · 729 · h-index 16

Impact in

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

Papers in

Ting He

40 papers receiving 723 citations

Peers

Ting He
Comparison fields: 5 of 98
  • Cancer Research 121
  • Genetics 53
  • Developmental Neuroscience 16
  • Molecular Biology 244
  • Epidemiology 106
Replace Kaja Urbańska with:
Kaja Urbańska Poland
Sabine Windhorst Germany
Kritarth Singh India
Weijia Zhu China
Alka Chaubey United States
Lorella Vecchio Italy
Cristina Tringali Italy
Miguel Ararat United States
Valeria De Pasquale Italy
Robert A. Saxton United States
Ting He relative to Kaja Urbańska Poland Kaja Urbańska's profile →
Citations per field
00.5×1.5×1.8×
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 201486
2 201263
3 202150
4 201149
5 201638
6 201034
7 201633
8 202031
9 201531
10 202230
11 200927
12 200927
13 202026
14 201225
15 202218
16 201917
17 202215
18 202213
19 201613
20
Molecular MRI differentiation of VEGF receptor-2 levels in C6 and RG2 glioma models.
201312

About Ting He

Ting He is a scholar working on Molecular Biology, Epidemiology, Genetics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 729 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), Plant Disease Resistance and Genetics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Corneal surgery and disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (121 citations), Genetics (53 citations), Developmental Neuroscience (16 citations), Molecular Biology (244 citations) and Epidemiology (106 citations). Ting He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Fu, Nan Song, Rheal A. Towner, Sabrina Doblas, Lin Jia, Lifang Guo, Debra Saunders, Nataliya Smith, Shan Wang and Megan R. Lerner. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Medicine, The Journal of Pathology, European Radiology and Tissue Engineering Part A.

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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