Shuai Lü

4.1k total citations · 1 hit paper
144 papers, 2.9k citations indexed

About

Shuai Lü is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Shuai Lü has authored 144 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 21 papers in Organic Chemistry. Recurrent topics in Shuai Lü's work include Computational Drug Discovery Methods (22 papers), Alzheimer's disease research and treatments (12 papers) and Acute Myeloid Leukemia Research (10 papers). Shuai Lü is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Alzheimer's disease research and treatments (12 papers) and Acute Myeloid Leukemia Research (10 papers). Shuai Lü collaborates with scholars based in China, United States and United Kingdom. Shuai Lü's co-authors include Rui‐tian Liu, Yadong Chen, Xiaoge Liu, Soumalya Bhattacharyya, Koushik Acharyya, Peter J. Stang, Tao Lu, Xiaolin Yu, Jie Zhu and Haichun Liu and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Shuai Lü

131 papers receiving 2.9k citations

Hit Papers

AGIEval: A Human-Centric Benchmark for Evaluating Foundat... 2024 2026 2025 2024 20 40 60

Peers

Shuai Lü
Comparison fields: 5 of 139
  • Molecular Biology 1.2k
  • Materials Chemistry 426
  • Organic Chemistry 414
  • Physiology 304
  • Oncology 290
Siyu He China
Antonio Pineda‐Lucena Spain
Ailing Fu China
Jianyou Shi China
Yongmei Xie China
Alberto Del Río Italy
Xing Du China
Takahiro Seki Japan
Chengchao Xu China
Siyu He China View profile →
Citations per field, relative to Shuai Lü
Shuai Lü · 1×
Citations per year, relative to Shuai Lü
Shuai Lü · 1×

Countries citing papers authored by Shuai Lü

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Lü. A scholar is included among the top collaborators of Shuai Lü 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 Shuai Lü. Shuai Lü 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 0
4 0
5 6
6 4
7 1
8 4
9 12
10 5
11 33
12 13
13 67
14 7
15 13
16 13
17 13
18 18
19 89
20 18

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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