Tingze Feng

14.2k total citations · 4 hit papers
10 papers, 8.0k citations indexed

About

Tingze Feng is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Tingze Feng has authored 10 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Tingze Feng's work include Metabolomics and Mass Spectrometry Studies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic diversity and population structure (2 papers). Tingze Feng is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic diversity and population structure (2 papers). Tingze Feng collaborates with scholars based in China, Hong Kong and United States. Tingze Feng's co-authors include Guangchuang Yu, Lang Zhou, Shuangbin Xu, Li Zhan, Meijun Chen, Zehan Dai, Tianzhi Wu, Erqiang Hu, Wenli Tang and Xiaochen Bo and has published in prestigious journals such as Molecular Biology and Evolution, Briefings in Bioinformatics and Frontiers in Oncology.

In The Last Decade

Tingze Feng

10 papers receiving 8.0k citations

Hit Papers

clusterProfiler 4.0: A un... 2019 2026 2021 2023 2021 2019 2021 2023 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingze Feng China 7 4.4k 1.4k 1.3k 1.0k 943 10 8.0k
Zehan Dai China 9 4.4k 1.0× 1.4k 1.0× 1.3k 1.0× 1.0k 1.0× 936 1.0× 18 8.1k
Tianzhi Wu China 7 4.5k 1.0× 1.4k 1.0× 1.4k 1.0× 1.0k 1.0× 973 1.0× 9 8.0k
Erqiang Hu China 8 4.5k 1.0× 1.4k 1.0× 1.4k 1.0× 1.1k 1.0× 983 1.0× 16 7.9k
Xiaochen Bo China 16 4.7k 1.1× 1.4k 1.0× 1.4k 1.1× 1.0k 1.0× 985 1.0× 43 8.1k
Shuangbin Xu China 15 5.0k 1.1× 1.5k 1.1× 1.4k 1.1× 1.1k 1.0× 1.0k 1.1× 30 9.1k
Li Zhan China 22 5.0k 1.1× 1.5k 1.1× 1.5k 1.2× 1.1k 1.1× 1.0k 1.1× 68 9.2k
Lang Zhou China 22 4.6k 1.0× 1.5k 1.1× 1.4k 1.0× 1.1k 1.1× 1.1k 1.2× 63 9.3k
Xiaocong Fu China 4 4.1k 0.9× 1.3k 1.0× 1.3k 1.0× 1.0k 1.0× 924 1.0× 4 7.3k
Wenli Tang China 16 5.4k 1.2× 1.6k 1.1× 1.4k 1.1× 1.1k 1.1× 1.0k 1.1× 38 9.7k

Countries citing papers authored by Tingze Feng

Since Specialization
Citations

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

Fields of papers citing papers by Tingze Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingze Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Tingze Feng. A scholar is included among the top collaborators of Tingze Feng 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 Tingze Feng. Tingze Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Feng, Tingze, Pengfei Li, Siyi Li, et al.. (2025). Metabolic state uncovers prognosis insights of esophageal squamous cell carcinoma patients. Journal of Translational Medicine. 23(1). 342–342. 2 indexed citations
2.
Ling, Ting, et al.. (2025). Integrative transcriptomics-metabolomics approach to identify metabolic pathways regulated by glutamine synthetase activity. Chinese Journal of Chromatography. 43(3). 207–219. 1 indexed citations
3.
Otkur, Wuxiyar, Yirong Li, Wenjun Bao, et al.. (2024). Spatial multi-omics characterizes GPR35-relevant lipid metabolism signatures across liver zonation in MASLD. PubMed. 3(6). loae021–loae021. 1 indexed citations
4.
Xu, Shuangbin, Li Zhan, Wenli Tang, et al.. (2023). MicrobiotaProcess: A comprehensive R package for deep mining microbiome. The Innovation. 4(2). 100388–100388. 154 indexed citations breakdown →
5.
6.
Zhou, Lang, Tingze Feng, Shuangbin Xu, et al.. (2022). ggmsa: a visual exploration tool for multiple sequence alignment and associated data. Briefings in Bioinformatics. 23(4). 109 indexed citations
7.
Xu, Shuangbin, Zehan Dai, Xiaocong Fu, et al.. (2021). ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data. Molecular Biology and Evolution. 38(9). 4039–4042. 177 indexed citations breakdown →
8.
Wu, Tianzhi, Erqiang Hu, Shuangbin Xu, et al.. (2021). clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation. 2(3). 100141–100141. 7083 indexed citations breakdown →
9.
Xu, Shuangbin, Meijun Chen, Tingze Feng, et al.. (2021). Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers. Frontiers in Genetics. 12. 774846–774846. 188 indexed citations
10.
Wang, Ligen, Tommy Tsan‐Yuk Lam, Shuangbin Xu, et al.. (2019). Treeio: An R Package for Phylogenetic Tree Input and Output with Richly Annotated and Associated Data. Molecular Biology and Evolution. 37(2). 599–603. 325 indexed citations breakdown →

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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