Honglin Li

20.7k total citations · 3 hit papers
464 papers, 15.9k citations indexed

About

Honglin Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Honglin Li has authored 464 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 224 papers in Molecular Biology, 75 papers in Computational Theory and Mathematics and 45 papers in Oncology. Recurrent topics in Honglin Li's work include Computational Drug Discovery Methods (70 papers), Protein Structure and Dynamics (28 papers) and Biochemical and Molecular Research (20 papers). Honglin Li is often cited by papers focused on Computational Drug Discovery Methods (70 papers), Protein Structure and Dynamics (28 papers) and Biochemical and Molecular Research (20 papers). Honglin Li collaborates with scholars based in China, United States and United Kingdom. Honglin Li's co-authors include Junying Yuan, Hong Zhu, Xiaofeng Liu, Hualiang Jiang, Jiangli Fan, Xiaojun Peng, Shiliang Li, Jiayu Gong, Xia Wang and Luhua Lai and has published in prestigious journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Honglin Li

426 papers receiving 15.7k citations

Hit Papers

Cleavage of BID by Caspase 8 Mediates the Mitochondrial D... 1998 2026 2007 2016 1998 2017 2010 1000 2.0k 3.0k

Peers

Honglin Li
Comparison fields: 5 of 196
  • Molecular Biology 9.6k
  • Computational Theory and Mathematics 2.1k
  • Organic Chemistry 1.6k
  • Oncology 1.5k
  • Immunology 1.5k
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Feng Zhu China
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Aiping Lü China View profile →
Citations per field, relative to Honglin Li
Honglin Li · 1×
Citations per year, relative to Honglin Li
Honglin Li · 1×

Countries citing papers authored by Honglin Li

Since Specialization
Citations

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

Fields of papers citing papers by Honglin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Honglin Li. A scholar is included among the top collaborators of Honglin 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 Honglin Li. Honglin 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
# Work Indexed citations
1 1
2 0
3 12
4 8
5 3
6 0
7 0
8 2
9 10
10 8
11 0
12 7
13 31
14
[Tumor antigen-loaded dendritic cells combined with cytokine-induced killer (CIK) enhance the killing activity of human esophageal cancer cells by promoting ASK1 activation].
0
15 5
16 12
17 7
18 2
19 7
20 149

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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