Na Li

180 papers receiving 3.9k citations

Na Li's Hit Papers

Association between different stages of cardiovascular-kidney-metabolic syndrome and the risk of all-cause mortality 2024 · 85 citations
850+3+6Years since publication200400600

Peers

Na Li
Comparison fields: 5 of 160
  • Animal Science and Zoology 588
  • Biological Psychiatry 80
  • Aquatic Science 202
  • Infectious Diseases 427
  • Molecular Biology 1.6k
Replace Shuai Chen with:
Shuai Chen China
Christophe Klopp France
Tae Woong Whon South Korea
De Wu China
Robert W. Li United States
Zhenlong Wu China
G. Breves Germany
Young‐Do Nam South Korea
Zhaolai Dai China
Chao Xie Singapore
Na Li relative to Shuai Chen China Shuai Chen's profile →
Citations per field
00.5×1.5×2.3×
Shuai Chen · 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

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interaction between the gut microbiome and mucosal immune system
Hit paper breakdown →
2017737
2 2018118
3 2019116
4 2018107
5 2011100
6 202086
7
Association between different stages of cardiovascular-kidney-metabolic syndrome and the risk of all-cause mortality
Hit paper breakdown →
202485
8 201583
9 201874
10 201866
11 201560
12 201858
13 201457
14 201955
15 201753
16 201751
17 202050
18 202247
19 201946
20 202244

About Na Li

Na Li is a scholar working on Molecular Biology, Ecology, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 194 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gut microbiota and health (28 papers), Meat and Animal Product Quality (19 papers), Animal Virus Infections Studies (16 papers), Aquaculture disease management and microbiota (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Aquaculture Nutrition and Growth (10 papers), Virus-based gene therapy research (9 papers) and Physiological and biochemical adaptations (8 papers). The work is most often cited by research in Animal Science and Zoology (588 citations), Biological Psychiatry (80 citations), Aquatic Science (202 citations), Infectious Diseases (427 citations) and Molecular Biology (1.6k citations). Na Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Na Shi, Xinwang Duan, Haitao Niu, Meiling Hong, Li Ding, Shimeng Huang, Junjun Wang, Tiantian Li, Haitao Shi and Shuqi Xiao. Their work appears in journals such as Food Chemistry, Veterinary Microbiology, Frontiers in Microbiology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology and Animals.

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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