Ting Pan

11.8k citations
260 papers · 5.9k indexed · h-index 42

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 2%
    • Immune cells in cancer
    • interferon and immune responses

Papers in

    • HIV Research and Treatment 16
    • interferon and immune responses 12
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 10

Ting Pan

239 papers receiving 5.8k citations

Peers

Ting Pan
Comparison fields: 5 of 166
  • Cancer Research 695
  • Immunology 956
  • Virology 175
  • Molecular Biology 2.4k
  • Infectious Diseases 586
Replace Min Li with:
Min Li China
Fuming Zhang United States
Barbara Mulloy United Kingdom
Haiyan Chen China
Hongtao Zhang China
Ashish Ranjan Sharma South Korea
Huanliang Liu China
Xue Wang China
Wenquan Wang China
Ping‐Kun Zhou China
Ting Pan relative to Min Li China Min Li's profile →
Citations per field
00.5×1.7×
Min Li · 1×
Citations per year

Countries citing papers authored by Ting Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2021195
3 2017193
4
METTL3 plays multiple functions in biological processes.
2020165
5 2020142
6 2012136
7 2018116
8 2019111
9 2015109
10 2013108
11 2011105
12 2015103
13 201798
14 201592
15 201690
16 202185
17 201977
18 201777
19 202175
20 202074

About Ting Pan

Ting Pan is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Industrial and Manufacturing Engineering, having authored 260 papers that have together received 5.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), interferon and immune responses (12 papers), Extracellular vesicles in disease (12 papers), Immune Cell Function and Interaction (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Photonic and Optical Devices (10 papers), Immunotherapy and Immune Responses (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (695 citations), Immunology (956 citations), Virology (175 citations), Molecular Biology (2.4k citations) and Infectious Diseases (586 citations). Ting Pan has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Hui Zhang, Chuan Bai, Haihua Luo, Xin He, Xinbing Sui, Ting Jin, Tian Xie, Kang Wu, Feng Huang and Yikai Su. Their work appears in journals such as Journal of Virology, ACS Applied Materials & Interfaces, Optics Express, The Journal of Immunology and Nucleic Acids Research.

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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