Zuohe Song

455 total citations
11 papers, 394 citations indexed

About

Zuohe Song is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biochemistry. According to data from OpenAlex, Zuohe Song has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Biochemistry. Recurrent topics in Zuohe Song's work include Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Mechanisms and Therapy (2 papers). Zuohe Song is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Mechanisms and Therapy (2 papers). Zuohe Song collaborates with scholars based in United States and Czechia. Zuohe Song's co-authors include Emmanuelle J. Meuillet, Shuxing Zhang, Lei Du‐Cuny, Eugene A. Mash, Garth Powis, Vijay Gokhale, Li Zhou, Robert Lemos, Nathan T. Ihle and Thomas S. Dexheimer and has published in prestigious journals such as Journal of the American Chemical Society, Cancer Research and Experimental Cell Research.

In The Last Decade

Zuohe Song

11 papers receiving 382 citations

Peers

Zuohe Song
Comparison fields: 5 of 65
  • Molecular Biology 298
  • Organic Chemistry 68
  • Oncology 49
  • Cancer Research 44
  • Computational Theory and Mathematics 28
Replace Michael Plötz with:
Michael Plötz Germany
Yumi Matsui Japan
Hon Yan Kelvin Yip Australia
Han-Li Huang Taiwan
Olga Abramczyk United States
Min‐Wu Chao Taiwan
Tiantao Gao China
Yuzhu Zheng China
Sailu Sarvagalla India
Seung Yeob Hyun South Korea
Michael Plötz Germany View profile →
Citations per field, relative to Zuohe Song
Zuohe Song · 1×
Citations per year, relative to Zuohe Song
Zuohe Song · 1×

Countries citing papers authored by Zuohe Song

Since Specialization
Citations

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

Fields of papers citing papers by Zuohe Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuohe Song

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 21
2 1
3 26
4 11
5 66
6 48
7 21
8 30
9 69
10 82
11 19

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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