Tingze Feng

14.2k citations
10 papers · 8.0k indexed · 4 hit papers · h-index 7
Topics
Metabolomics and Mass Spectrometry Studies (3 papers)Genomics and Phylogenetic Studies (3 papers)Genetic diversity and population structure (2 papers)

In The Last Decade

Tingze Feng

10 papers receiving 8.0k citations

Hit Papers

clusterProfiler 4.0: A universal enrichment tool for inte...201920262021202320212019202120232.0k4.0k6.0k

Peers

Tingze Feng
Comparison fields: 5 of 168
  • Molecular Biology 4.4k
  • Immunology 1.4k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 1.0k
  • Oncology 943
Replace Tianzhi Wu with:
Tianzhi Wu China
Xiaochen Bo China
Erqiang Hu China
Zehan Dai China
Xiaocong Fu China
Shuangbin Xu China
Lang Zhou China
Li Zhan China
Yunshun Chen Australia
Tingze Feng relative to Tianzhi Wu China Tianzhi Wu's profile →
Citations per field
00.5×1.5×1.9×
Tianzhi Wu · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 1
4
MicrobiotaProcess: A comprehensive R package for deep mining microbiomebreakdown →
154
5 7
6 109
7
ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Databreakdown →
177
8
clusterProfiler 4.0: A universal enrichment tool for interpreting omics databreakdown →
7083
9 188
10
Treeio: An R Package for Phylogenetic Tree Input and Output with Richly Annotated and Associated Databreakdown →
325

About Tingze Feng

Tingze Feng is a scholar working on Ecological Modeling, Biochemistry and Cancer Research, having authored 10 papers that have together received 8.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Cancer Research (1.3k citations), Immunology (1.4k citations) and Molecular Biology (4.4k citations). Tingze Feng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuangbin Xu, Guangchuang Yu, Lang Zhou, Li Zhan, Zehan Dai, Meijun Chen, Tianzhi Wu, Erqiang Hu, Wenli Tang and Xiaochen Bo. Their work appears in journals such as Molecular Biology and Evolution, Briefings in Bioinformatics and Frontiers in Oncology.

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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