Ling Sun

488 citations
19 papers · 367 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Acute Myeloid Leukemia Research 6
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 3

Ling Sun

18 papers receiving 364 citations

Peers

Ling Sun
Comparison fields: 5 of 58
  • Hematology 83
  • Cancer Research 104
  • Molecular Biology 180
  • Immunology 53
  • Genetics 23
Replace Jing-Yuan Chooi with:
Jing-Yuan Chooi Singapore
Weiying Gu China
M.D. Minden Canada
Irene Riz United States
Madi Y. Cissé France
Fabrizio Simeoni United Kingdom
Thinh Hoang Nguyen United States
Shiho Fujiwara Japan
Andoni Garitano-Trojaola Germany
Ayşegül Erdem Netherlands
Ling Sun relative to Jing-Yuan Chooi Singapore Jing-Yuan Chooi's profile →
Citations per field
00.5×1.5×2.1×
Jing-Yuan Chooi · 1×
Citations per year

Countries citing papers authored by Ling Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ling Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202063
2 202060
3 201540
4 201435
5 202026
6 201725
7 201821
8 201718
9 201617
10 201716
11 202116
12 20219
13 20195
14 20255
15 20174
16 20183
17 20243
18 20141
19 20230

About Ling Sun

Ling Sun is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Immunology, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (1 paper), Heat shock proteins research (1 paper) and thermodynamics and calorimetric analyses (1 paper). The work is most often cited by research in Hematology (83 citations), Cancer Research (104 citations), Molecular Biology (180 citations), Immunology (53 citations) and Genetics (23 citations). Ling Sun has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Zhongxing Jiang, Ping Tang, Yumin Huang, Haixia Cao, Yanfang Liu, Lina Sang, Ran Zhang, Hui Sun, Weijie Cao and Rong Guo. Their work appears in journals such as Clinical and Experimental Medicine, Biochemical and Biophysical Research Communications, Scientific Reports, Gene and International Journal of Molecular Sciences.

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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