Tiejun Cheng

16.1k total citations · 7 hit papers
42 papers, 10.4k citations indexed

About

Tiejun Cheng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Tiejun Cheng has authored 42 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 29 papers in Computational Theory and Mathematics and 10 papers in Pharmacology. Recurrent topics in Tiejun Cheng's work include Computational Drug Discovery Methods (29 papers), Microbial Natural Products and Biosynthesis (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Tiejun Cheng is often cited by papers focused on Computational Drug Discovery Methods (29 papers), Microbial Natural Products and Biosynthesis (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Tiejun Cheng collaborates with scholars based in United States, China and Luxembourg. Tiejun Cheng's co-authors include Qingliang Li, Asta Gindulytė, Paul Thiessen, Siqian He, Benjamin A. Shoemaker, Jian Zhang, Evan Bolton, Sunghwan Kim, Bo Yu and Leonid Zaslavsky and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Tiejun Cheng

41 papers receiving 10.2k citations

Hit Papers

PubChem in 2021: new data ... 2007 2026 2013 2019 2020 2018 2022 2007 2016 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tiejun Cheng United States 24 5.3k 4.1k 1.3k 1.1k 1.0k 42 10.4k
Siqian He United States 13 6.1k 1.2× 4.3k 1.0× 1.4k 1.0× 1.2k 1.1× 939 0.9× 14 12.4k
Paul Thiessen United States 24 6.0k 1.1× 4.3k 1.1× 1.5k 1.2× 1.2k 1.1× 1.1k 1.1× 38 12.8k
Asta Gindulytė United States 19 5.9k 1.1× 4.5k 1.1× 1.7k 1.3× 1.2k 1.2× 1.1k 1.1× 27 12.5k
Sunghwan Kim United States 28 6.0k 1.1× 4.3k 1.1× 1.5k 1.1× 1.2k 1.1× 1.2k 1.2× 139 13.2k
Qingliang Li China 22 4.2k 0.8× 3.0k 0.7× 997 0.8× 798 0.8× 635 0.6× 53 8.5k
Robert Preißner Germany 46 5.4k 1.0× 3.3k 0.8× 774 0.6× 1.1k 1.1× 1.3k 1.3× 214 10.9k
Evan Bolton United States 28 7.3k 1.4× 5.1k 1.2× 1.6k 1.2× 1.4k 1.3× 1.1k 1.1× 71 14.6k

Countries citing papers authored by Tiejun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Cheng. A scholar is included among the top collaborators of Tiejun Cheng 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 Tiejun Cheng. Tiejun Cheng 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
1.
Li, Qingliang, Sunghwan Kim, Leonid Zaslavsky, et al.. (2025). A resource description framework (RDF) model of named entity co-occurrences in biomedical literature and its integration with PubChemRDF. Journal of Cheminformatics. 17(1). 79–79. 1 indexed citations
2.
Kim, Sunghwan, Jian Zhang, Tiejun Cheng, Qingliang Li, & Evan Bolton. (2024). Glycoscience data content in the NCBI Glycans and PubChem. Analytical and Bioanalytical Chemistry. 417(5). 865–878. 4 indexed citations
3.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2024). PubChem 2025 update. Nucleic Acids Research. 53(D1). D1516–D1525. 221 indexed citations breakdown →
4.
Mary, Arnaud, Carmen Venegas, Tiejun Cheng, et al.. (2024). Can Small Molecules Provide Clues on Disease Progression in Cerebrospinal Fluid from Mild Cognitive Impairment and Alzheimer’s Disease Patients?. Environmental Science & Technology. 58(9). 4181–4192. 8 indexed citations
5.
Cheng, Tiejun, et al.. (2023). Bridging glycoinformatics and cheminformatics: integration efforts between GlyCosmos and PubChem. Glycobiology. 33(6). 454–463. 5 indexed citations
6.
Gupta, Parul, Sushma Naithani, Justin Preece, et al.. (2022). Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases. Methods in molecular biology. 2443. 511–525. 8 indexed citations
7.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2022). PubChem 2023 update. Nucleic Acids Research. 51(D1). D1373–D1380. 1787 indexed citations breakdown →
8.
Aho, Velma T. E., Randolph R. Singh, Tiejun Cheng, et al.. (2022). Studying the Parkinson’s disease metabolome and exposome in biological samples through different analytical and cheminformatics approaches: a pilot study. Analytical and Bioanalytical Chemistry. 414(25). 7399–7419. 18 indexed citations
9.
Owen, Gareth, Paul Thiessen, Tiejun Cheng, et al.. (2021). Enhancing the interoperability of glycan data flow between ChEBI, PubChem, and GlyGen. Glycobiology. 31(11). 1510–1519. 6 indexed citations
10.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2020). PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Research. 49(D1). D1388–D1395. 2581 indexed citations breakdown →
11.
Kim, Sunghwan, Paul Thiessen, Tiejun Cheng, et al.. (2019). PUG-View: programmatic access to chemical annotations integrated in PubChem. Journal of Cheminformatics. 11(1). 56–56. 33 indexed citations
12.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2018). PubChem 2019 update: improved access to chemical data. Nucleic Acids Research. 47(D1). D1102–D1109. 2321 indexed citations breakdown →
13.
Wang, Yanli, Tiejun Cheng, & Stephen H. Bryant. (2017). PubChem BioAssay: A Decade’s Development toward Open High-Throughput Screening Data Sharing. SLAS DISCOVERY. 22(6). 655–666. 35 indexed citations
14.
Kim, Sunghwan, Paul Thiessen, Tiejun Cheng, et al.. (2016). Literature information in PubChem: associations between PubChem records and scientific articles. Journal of Cheminformatics. 8(1). 32–32. 57 indexed citations
15.
Pan, Yongmei, Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2014). Pathway Analysis for Drug Repositioning Based on Public Database Mining. Journal of Chemical Information and Modeling. 54(2). 407–418. 34 indexed citations
16.
Cheng, Tiejun, Yongmei Pan, Ming Hao, Yanli Wang, & Stephen H. Bryant. (2014). PubChem applications in drug discovery: a bibliometric analysis. Drug Discovery Today. 19(11). 1751–1756. 56 indexed citations
17.
Wang, Yanli, Tuğba Önal-Süzek, Jian Zhang, et al.. (2013). PubChem BioAssay: 2014 update. Nucleic Acids Research. 42(D1). D1075–D1082. 222 indexed citations
18.
Li, Qingliang, Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2012). Characterizing protein domain associations by Small-molecule ligand binding. PubMed. 1(1). 6–6. 5 indexed citations
19.
Li, Qingliang, Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2010). PubChem as a public resource for drug discovery. Drug Discovery Today. 15(23-24). 1052–1057. 262 indexed citations
20.
Wang, Renxiao, Lin Fu, Yong Xu, & Tiejun Cheng. (2007). I-SOLV: A new surface-based empirical model for computing solvation free energies. Journal of Molecular Graphics and Modelling. 26(1). 368–377. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026