Lianyi Han

13.4k total citations · 3 hit papers
82 papers, 7.6k citations indexed

About

Lianyi Han is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Lianyi Han has authored 82 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 40 papers in Computational Theory and Mathematics and 10 papers in Pharmacology. Recurrent topics in Lianyi Han's work include Computational Drug Discovery Methods (40 papers), Machine Learning in Bioinformatics (19 papers) and Protein Structure and Dynamics (13 papers). Lianyi Han is often cited by papers focused on Computational Drug Discovery Methods (40 papers), Machine Learning in Bioinformatics (19 papers) and Protein Structure and Dynamics (13 papers). Lianyi Han collaborates with scholars based in China, Singapore and United States. Lianyi Han's co-authors include Stephen H. Bryant, Siqian He, Jane He, Yu Chen, Evan Bolton, Jian Zhang, Asta Gindulytė, Benjamin A. Shoemaker, Bo Yu and Sunghwan Kim and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lianyi Han

74 papers receiving 7.4k citations

Hit Papers

PubChem Substance and Compound databases 2009 2026 2014 2020 2015 2009 2011 1000 2.0k 3.0k

Peers

Lianyi Han
Comparison fields: 5 of 188
  • Molecular Biology 4.5k
  • Computational Theory and Mathematics 3.0k
  • Pharmacology 734
  • Pharmacology 723
  • Materials Chemistry 633
Replace Qingliang Li with:
Qingliang Li China
Craig Knox Canada
Ruili Huang United States
Johannes Kirchmair Austria
Xiaomin Luo China
Craig A. James Australia
Christopher P. Austin United States
Guixia Liu China
Tiejun Cheng United States
Qingliang Li China View profile →
Citations per field, relative to Lianyi Han
Lianyi Han · 1×
Citations per year, relative to Lianyi Han
Lianyi Han · 1×

Countries citing papers authored by Lianyi Han

Since Specialization
Citations

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

Fields of papers citing papers by Lianyi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianyi Han

This figure shows the co-authorship network connecting the top 25 collaborators of Lianyi Han. A scholar is included among the top collaborators of Lianyi Han 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 Lianyi Han. Lianyi Han 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 0
2 0
3 1
4 0
5 0
6 1
7 2
8 0
9 1
10 4
11 3
12 1
13 2
14 1
15 24
16 55
17 164
18 34
19 14
20 105

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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