Liang Li

8.7k citations
261 papers · 5.6k indexed · 1 hit paper · h-index 40
Topics
Immune Cell Function and Interaction (32 papers)Parasitic infections in humans and animals (26 papers)Cancer Immunotherapy and Biomarkers (20 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Liang Li

241 papers receiving 5.5k citations

Hit Papers

Single-cell and spatial transcriptome analysis reveals th...20232026202420252023255075100

Peers

Liang Li
Comparison fields: 5 of 158
  • Molecular Biology 1.9k
  • Immunology 1.2k
  • Oncology 870
  • Cancer Research 698
  • Surgery 673
Replace Heinz‐Peter Schultheiß with:
Heinz‐Peter Schultheiß Germany
Eloisa Arbustini Italy
Carlyne D. Cool United States
Marko Salmi Finland
Efstratios Patsouris Greece
Koichi Matsuda Japan
Kirsten Lauber Germany
Rainer M. Bohle Germany
Kentaro Tanaka Japan
George E. Sandusky United States
Liang Li relative to Heinz‐Peter Schultheiß Germany Heinz‐Peter Schultheiß's profile →
Citations per field
00.5×1.5×
Heinz‐Peter Schultheiß · 1×
Citations per year

Countries citing papers authored by Liang Li

Since Specialization
Citations

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

Fields of papers citing papers by Liang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Li. A scholar is included among the top collaborators of Liang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Li. Liang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 1
6 1
7 13
8 8
9 13
10 13
11 5
12 23
13 1
14 40
15 84
16 42
17
Blockade of IL-6 signal exacerbates acute inflammatory bowel disease via inhibiting IL-17 producing in activated CD4+ Th17 population.
8
18 39
19 74
20 0

About Liang Li

Liang Li is a scholar working on Immunology, Pathology and Forensic Medicine and Genetics, having authored 261 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), Parasitic infections in humans and animals (26 papers) and Cancer Immunotherapy and Biomarkers (20 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (698 citations) and Hepatology (360 citations). Liang Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaojie Zhang, Weidong Le, Zhe‐Xiong Lian, Edward C. Cox, Simon F. Nørrelykke, M. Eric Gershwin, Yumin Xia, Tom Greene, Yale Liu and Yuan Yao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

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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