Lingqi Luo

1.3k citations
15 papers · 934 indexed · 1 hit paper · h-index 11

Impact in

Papers in

Lingqi Luo

15 papers receiving 927 citations

Hit Papers

The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins 2015 · 463 citations
4632015202620182022100200300400

Peers

Lingqi Luo
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 253
  • Molecular Biology 705
  • Cancer Research 92
  • Oncology 102
  • Infectious Diseases 60
Replace Yuval Inbar with:
Yuval Inbar Israel
Michał Łaźniewski Poland
Thomas Grombacher Germany
Susan Klaeger Germany
Jean M. Severin United States
Carola Doce Germany
Shaolong Zhang China
Charles David New Zealand
Shafinaz F. Chowdhury Canada
Lingqi Luo relative to Yuval Inbar Israel Yuval Inbar's profile →
Citations per field
00.5×1.5×2.4×
Yuval Inbar · 1×
Citations per year

Countries citing papers authored by Lingqi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Lingqi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lingqi Luo, 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 Lingqi Luo Line = papers co-authored together Lingqi Luo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20232
2 201914
3 201930
4 201893
5 201621
6 201624
7 201556
8
The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins
Hit paper breakdown →
2015463
9 201526
10 201430
11 20121
12 20123
13 20121
14 2011115
15 200855

About Lingqi Luo

Lingqi Luo is a scholar working on Cancer Research, Computational Theory and Mathematics, Molecular Biology, Aquatic Science and Materials Chemistry, having authored 15 papers that have together received 934 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (4 papers), MicroRNA in disease regulation (3 papers), Melanoma and MAPK Pathways (2 papers) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (253 citations), Molecular Biology (705 citations), Cancer Research (92 citations), Oncology (102 citations) and Infectious Diseases (60 citations). Lingqi Luo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dima Kozakov, Sándor Vajda, Dmitri Beglov, David R. Hall, Tanggis Bohnuud, Laurie E. Grove, Scott E. Mottarella, Bing Xia, Karen N. Allen and Adrian Whitty. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Oncogene, Scientific Reports and Journal of Biological Chemistry.

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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