Siming Li

870 citations
17 papers · 613 · h-index 9

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cell Adhesion Molecules Research

Papers in

    • Cutaneous Melanoma Detection and Management 5
    • Cancer Immunotherapy and Biomarkers 2
    • Osteoarthritis Treatment and Mechanisms 4

Siming Li

15 papers receiving 607 citations

Peers

Siming Li
Comparison fields: 5 of 70
  • Oncology 363
  • Immunology and Allergy 26
  • Dermatology 36
  • Immunology 87
  • Cancer Research 47
Replace Kenji Kido with:
Kenji Kido Japan
Takenori Fujii Japan
Terrence M. Katona United States
Yongshuai Jiang China
Zsuzsanna Fejôs Hungary
Yisheng Wei China
Qingfeng Ni China
Ramtin Lichtenberger Germany
Kiyoshi Teduka Japan
María Villa‐Morales Spain
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Citations per field
00.5×
Kenji Kido · 1×
Citations per year

Countries citing papers authored by Siming Li

Since Specialization
Citations

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

Fields of papers citing papers by Siming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011276
2 2011190
3 201129
4 201825
5 201925
6 202418
7 201711
8 201310
9 20179
10 20238
11 20224
12 20153
13 20242
14 20242
15 20241
16 20240
17 20240

About Siming Li

Siming Li is a scholar working on Oncology, Rheumatology, Immunology, Surgery and Neurology, having authored 17 papers that have together received 613 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Immunotherapy and Immune Responses (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Natural product bioactivities and synthesis (1 paper), Periodontal Regeneration and Treatments (1 paper) and Orthopedic Infections and Treatments (1 paper). The work is most often cited by research in Oncology (363 citations), Immunology and Allergy (26 citations), Dermatology (36 citations), Immunology (87 citations) and Cancer Research (47 citations). Siming Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhihong Chi, Chuanliang Cui, Xinan Sheng, Jun Guo, Lu Si, Mei Han, Lili Mao, Haifu Li, Keith T. Flaherty and Li Li. Their work appears in journals such as Annals of Surgical Oncology, Journal of Clinical Oncology, Science Advances, Clinical Cancer Research and Calcified Tissue International.

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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