Li Ding

124.2k citations
337 papers · 18.1k indexed · 9 hit papers · h-index 48

Li Ding

316 papers receiving 17.9k citations

Hit Papers

Senescen...56200920262014202010002.0k3.0k

Peers

Li Ding
Comparison fields: 5 of 198
  • Cancer Research 6.3k
  • Hematology 1.7k
  • Oncology 3.9k
  • Molecular Biology 9.7k
  • Genetics 3.2k
Replace Michael D. McLellan with:
Michael D. McLellan United States
Christopher A. Miller United States
Marco A. Marra Canada
Olivier Elemento United States
Michael R. Speicher Germany
Jonathan R. Pollack United States
Adam B. Olshen United States
Gary S. Stein United States
Nicholas D. Socci United States
Wei Li China
Li Ding relative to Michael D. McLellan United States Michael D. McLellan's profile →
Citations per field
00.5×2.6×
Michael D. McLellan · 1×
Citations per year

Countries citing papers authored by Li Ding

Since Specialization
Citations

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

Fields of papers citing papers by Li Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20246
3 20243
4 20243
5 20242
6 20241
7 20241
8 20246
9 20232
10 20233
11 202314
12 20232
13 202330
14 202229
15
Nrf2 Inhibits the Progression of Parkinson’s Disease by Upregulating AABR07032261.5 to Repress Pyroptosis
202221
16 202055
17 202019
18
Apolipoprotein C1 (APOC1) promotes tumor progression via MAPK signaling pathways in colorectal cancer
20195
19 201927
20 20143

About Li Ding

Li Ding is a scholar working on Cancer Research, Hematology, Oncology, Molecular Biology and Orthodontics, having authored 337 papers that have together received 18.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (54 papers), Cancer-related molecular mechanisms research (23 papers), Genomics and Phylogenetic Studies (17 papers), RNA modifications and cancer (16 papers), Epigenetics and DNA Methylation (15 papers), Acute Myeloid Leukemia Research (12 papers), Single-cell and spatial transcriptomics (12 papers) and Ferroptosis and cancer prognosis (11 papers). The work is most often cited by research in Cancer Research (6.3k citations), Hematology (1.7k citations), Oncology (3.9k citations), Molecular Biology (9.7k citations) and Genetics (3.2k citations). Li Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Richard K. Wilson, Michael D. McLellan, Elaine R. Mardis, Qunyuan Zhang, Christopher A. Miller, Daniel C. Koboldt, David E. Larson, Michael C. Wendl, Timothy J. Ley and Dong Shen. Their work appears in journals such as Blood, Cancer Research, Bioinformatics, Genome Research and Cancers.

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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