Suling Li

2.5k citations
72 papers · 1.9k · h-index 27

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 17
    • Immunotherapy and Immune Responses 8
    • Cytokine Signaling Pathways and Interactions 6

Suling Li

69 papers receiving 1.9k citations

Peers

Suling Li
Comparison fields: 5 of 145
  • Research and Theory 34
  • Immunology 779
  • Virology 136
  • Oncology 292
  • Issues, ethics and legal aspects 12
Replace Jie Shen with:
Jie Shen China
In‐Soo Shin South Korea
Michelle L. Dossett United States
Hyun‐Jeong Park South Korea
Angela J. Fought United States
Dominic C. Chow United States
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Suling Li relative to Jie Shen China Jie Shen's profile →
Citations per field
00.5×6.8×
Jie Shen · 1×
Citations per year

Countries citing papers authored by Suling Li

Since Specialization
Citations

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

Fields of papers citing papers by Suling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 1997114
3 200195
4 200892
5 200090
6 201669
7 201563
8 200058
9 200458
10 199556
11 200653
12 201249
13 201749
14 200247
15 199247
16 200742
17 199938
18 200037
19 200635
20 199633

About Suling Li

Suling Li is a scholar working on Immunology, Oncology, Molecular Biology, Control and Systems Engineering and Public Health, Environmental and Occupational Health, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (17 papers), Immunotherapy and Immune Responses (8 papers), Cytokine Signaling Pathways and Interactions (6 papers), Industrial Technology and Control Systems (5 papers), HIV Research and Treatment (5 papers), Menopause: Health Impacts and Treatments (4 papers) and Advanced Algorithms and Applications (4 papers). The work is most often cited by research in Research and Theory (34 citations), Immunology (779 citations), Virology (136 citations), Oncology (292 citations) and Issues, ethics and legal aspects (12 citations). Suling Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ping Wang, Hans‐Olov Sjögren, Alistair L. J. Symonds, Kajsa Paulsson, Per Anderson, Tizong Miao, Karyn Holm, Shangwu Chen, Ralf F. Pettersson and Ulf Hellman. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Emergency Nursing, Health Care For Women International and European Journal of Immunology.

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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