Taibo Li

3.5k total citations · 1 hit paper
34 papers, 740 citations indexed

About

Taibo Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Taibo Li has authored 34 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Taibo Li's work include Spacecraft Dynamics and Control (5 papers), CRISPR and Genetic Engineering (4 papers) and Glaucoma and retinal disorders (3 papers). Taibo Li is often cited by papers focused on Spacecraft Dynamics and Control (5 papers), CRISPR and Genetic Engineering (4 papers) and Glaucoma and retinal disorders (3 papers). Taibo Li collaborates with scholars based in United States, China and United Kingdom. Taibo Li's co-authors include Rasmus Borup Hansen, Rasmus Wernersson, Greg Slodkowicz, Heiko Horn, Kristoffer Rapacki, Olga Rigina, Kasper Lage, Thomas Jensen, Søren Brunak and Christopher T. Workman and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Taibo Li

29 papers receiving 731 citations

Hit Papers

A scored human protein–protein interaction network to cat... 2016 2026 2019 2022 2016 100 200 300

Peers

Taibo Li
Comparison fields: 5 of 106
  • Molecular Biology 451
  • Genetics 81
  • Oncology 60
  • Pulmonary and Respiratory Medicine 58
  • Surgery 56
Replace Xiangtian Yu with:
Xiangtian Yu China
Satoshi Okawa Japan
Weizhi Zhang China
Dvir Netanely Israel
Richa Batra Germany
Peng Xie China
Thomas Westerling United States
Christina V. Theodoris United States
Tongli Zhang United States
Shuilin Jin China
Xiangtian Yu China View profile →
Citations per field, relative to Taibo Li
Taibo Li · 1×
Citations per year, relative to Taibo Li
Taibo Li · 1×

Countries citing papers authored by Taibo Li

Since Specialization
Citations

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

Fields of papers citing papers by Taibo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taibo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Taibo Li. A scholar is included among the top collaborators of Taibo 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 Taibo Li. Taibo 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 0
2 0
3 4
4 5
5 0
6 3
7 15
8 41
9 6
10 2
11 7
12 46
13 10
14 5
15 6
16 25
17 25
18 22
19
A scored human protein–protein interaction network to catalyze genomic interpretation breakdown →
386
20 2

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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