Tieliu Shi

12.7k total citations · 2 hit papers
150 papers, 4.9k citations indexed

About

Tieliu Shi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Tieliu Shi has authored 150 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Molecular Biology, 26 papers in Genetics and 23 papers in Cancer Research. Recurrent topics in Tieliu Shi's work include Bioinformatics and Genomic Networks (32 papers), RNA modifications and cancer (22 papers) and Genomics and Phylogenetic Studies (16 papers). Tieliu Shi is often cited by papers focused on Bioinformatics and Genomic Networks (32 papers), RNA modifications and cancer (22 papers) and Genomics and Phylogenetic Studies (16 papers). Tieliu Shi collaborates with scholars based in China, United States and United Kingdom. Tieliu Shi's co-authors include Geng Chen, Baitang Ning, Chengping Wen, Zhenghui Yi, Meixia Zhang, Fang Zhao, Rui Xue, Yixue Li, Lin Huang and Duoli Xie and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Tieliu Shi

148 papers receiving 4.8k citations

Hit Papers

Single-Cell RNA-Seq Technologies and Relate... 2012 2026 2016 2021 2019 2012 200 400 600

Peers

Tieliu Shi
Comparison fields: 5 of 158
  • Molecular Biology 3.4k
  • Cancer Research 718
  • Genetics 594
  • Plant Science 542
  • Oncology 434
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Lei Guo United States
Marc Legeay France
Noa Rappaport United States
Michal Twik Israel
Simon Fishilevich Israel
Asher Kohn Israel
Alexander R. Pico United States
Naomi Rosen Israel
Inbar Plaschkes Israel View profile →
Citations per field, relative to Tieliu Shi
Tieliu Shi · 1×
Citations per year, relative to Tieliu Shi
Tieliu Shi · 1×

Countries citing papers authored by Tieliu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tieliu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tieliu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Tieliu Shi. A scholar is included among the top collaborators of Tieliu Shi 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 Tieliu Shi. Tieliu Shi 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 3
3 7
4 1
5 3
6 6
7 13
8
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis breakdown →
606
9 6
10 5
11 27
12 86
13 16
14 72
15 72
16
TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis breakdown →
478
17 13
18 25
19 29
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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