Tao Long

1.6k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Tao Long is a scholar working on Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tao Long has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tao Long's work include Biocrusts and Microbial Ecology (3 papers), Polysaccharides and Plant Cell Walls (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Tao Long is often cited by papers focused on Biocrusts and Microbial Ecology (3 papers), Polysaccharides and Plant Cell Walls (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Tao Long collaborates with scholars based in China, United States and France. Tao Long's co-authors include Qi Ouyang, Ying Lu, Chao Tang, Fangting Li, Qingxia Yuan, Ji‐Kai Liu, Longyan Zhao, Mingyang Ma, Jeffrey Yao and Yanling Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Tao Long

18 papers receiving 1.1k citations

Hit Papers

The yeast cell-cycle network is robustly designed 2004 2026 2011 2018 2004 200 400 600

Peers

Tao Long
Comparison fields: 5 of 114
  • Molecular Biology 745
  • Genetics 151
  • Plant Science 144
  • Food Science 87
  • Computational Theory and Mathematics 71
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Yuping Cai China
Nianshu Zhang United Kingdom
Catalin E. Doneanu United States
Hiroyuki Kubota Japan
Mark Williams United Kingdom
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Felicity Allen United Kingdom View profile →
Citations per field, relative to Tao Long
Tao Long · 1×
Citations per year, relative to Tao Long
Tao Long · 1×

Countries citing papers authored by Tao Long

Since Specialization
Citations

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

Fields of papers citing papers by Tao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Long

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Long. A scholar is included among the top collaborators of Tao Long 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 Tao Long. Tao Long 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 2
4 2
5 0
6 4
7 4
8 8
9 11
10 6
11 95
12 10
13 62
14 20
15 20
16 21
17 54
18 8
19
The yeast cell-cycle network is robustly designed breakdown →
730
20 35

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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