Ting Sun

988 citations
32 papers · 684 · 1 hit paper · h-index 11

Impact in

Papers in

Ting Sun

27 papers receiving 682 citations

Ting Sun's Hit Papers

Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease 2019 · 336 citations
3360+2+4Years since publication100200300

Peers

Ting Sun
Comparison fields: 5 of 79
  • Biological Psychiatry 40
  • Neurology 132
  • Physiology 37
  • Neurology 82
  • Cancer Research 76
Replace Wu Jiang with:
Wu Jiang China
Sae‐Bom Jeon South Korea
Yanran Liang China
Macarena Hernández‐Jiménez Spain
Donghui Shen China
Ziping Han China
João A. Amorim Portugal
Samira Ghorbani Canada
Xiuna Jing China
Ting Sun relative to Wu Jiang China Wu Jiang's profile →
Citations per field
00.5×2.9×
Wu Jiang · 1×
Citations per year

Countries citing papers authored by Ting Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ting Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease
Hit paper breakdown →
2019336
2 201960
3 202037
4 202233
5 202032
6 202230
7 202419
8 202418
9 202314
10 202312
11 202212
12 202210
13 202310
14 20229
15 20239
16 20248
17 20237
18 20225
19 20255
20 20214

About Ting Sun

Ting Sun is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Physiology, having authored 32 papers that have together received 684 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Adenosine and Purinergic Signaling (5 papers), Circular RNAs in diseases (4 papers), Kruppel-like factors research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Neurology (132 citations), Physiology (37 citations), Neurology (82 citations) and Cancer Research (76 citations). Ting Sun has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Gang Hu, Ming Lu, Jianhua Ding, Jialei Zhu, Xiaojuan Han, Meiling Xia, Si Sun, Qiqi Song, Nanshan Song and Miaomiao Chen. Their work appears in journals such as Blood, Brain Behavior and Immunity, Frontiers in Pharmacology, Blood Advances and Pharmacological 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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