Na Li

4.0k citations
142 papers · 2.5k indexed · h-index 28

Impact in

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

Papers in

    • Cell Adhesion Molecules Research 22
    • Botulinum Toxin and Related Neurological Disorders 7
    • Intracerebral and Subarachnoid Hemorrhage Research 6

Na Li

128 papers receiving 2.5k citations

Peers

Na Li
Comparison fields: 5 of 139
  • Immunology and Allergy 250
  • Immunology 614
  • Oncology 526
  • Genetics 201
  • Neurology 233
Replace Baohui Xu with:
Baohui Xu United States
Igor Prudovsky United States
Bhavana J. Davé United States
Véronique Ollivier France
Yukihiko Saeki Japan
Chiara Foglieni Italy
Christopher D. Kontos United States
Akio Matsuda Japan
Aihua Li China
Sang Gyu Park South Korea
Na Li relative to Baohui Xu United States Baohui Xu's profile →
Citations per field
00.5×
Baohui Xu · 1×
Citations per year

Countries citing papers authored by Na Li

Since Specialization
Citations

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

Fields of papers citing papers by Na Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202415
2 20247
3 202411
4 20241
5 20242
6 20246
7 20246
8 20243
9 20231
10 20231
11 202311
12 20239
13 20235
14 20216
15 20201
16 202013
17 201936
18 201816
19
[Evaluation of genetic diversity and population structure of genus Tripterygium based on SSR markers].
20172
20 20160

About Na Li

Na Li is a scholar working on Immunology and Allergy, Neurology, Immunology, Cancer Research and Genetics, having authored 142 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (22 papers), T-cell and B-cell Immunology (12 papers), S100 Proteins and Annexins (9 papers), Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Botulinum Toxin and Related Neurological Disorders (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (6 papers). The work is most often cited by research in Immunology and Allergy (250 citations), Immunology (614 citations), Oncology (526 citations), Genetics (201 citations) and Neurology (233 citations). Na Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Franziska Schatzmann, Matthew J. Naylor, Charles Streuli, Ulrich Mueller, Nancy E. Hynes, De‐Li Dong, Fashui Hong, Weiyuan Yu, Yun‐Zhou Yu and Setsuya Aiba. Their work appears in journals such as International Immunopharmacology, PLoS ONE, Cancer Research, Frontiers in Pharmacology and Clinical 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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