Songhai Chen

2.3k citations
50 papers · 1.8k · h-index 25

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 12
    • Receptor Mechanisms and Signaling 10
    • Metabolism, Diabetes, and Cancer 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Cancer Cells and Metastasis 3

Songhai Chen

48 papers receiving 1.8k citations

Peers

Songhai Chen
Comparison fields: 5 of 143
  • Cellular and Molecular Neuroscience 381
  • Immunology and Allergy 95
  • Molecular Biology 1.1k
  • Cell Biology 251
  • Cancer Research 88
Replace Axel Obermeier with:
Axel Obermeier Germany
Qiwen Fan Japan
Sarah Traverse United Kingdom
Lisa D. Chong United States
Jürgen Müller Germany
Matt Elliott United States
Philippe Gorry France
Berivan Baskin Canada
Lydia Tan Singapore
Paul Frankel United States
Songhai Chen relative to Axel Obermeier Germany Axel Obermeier's profile →
Citations per field
00.5×5.5×
Axel Obermeier · 1×
Citations per year

Countries citing papers authored by Songhai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Songhai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Songhai Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Songhai Chen Line = papers co-authored together Songhai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006210
2 2006162
3 2001122
4 2007112
5 199696
6 200591
7 200280
8 200462
9 200957
10 201756
11 200455
12 200353
13 200850
14 201648
15 199945
16 201943
17 201140
18 201438
19 200538
20 200634

About Songhai Chen

Songhai Chen is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Allergy and Cell Biology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Receptor Mechanisms and Signaling (10 papers), Cell Adhesion Molecules Research (7 papers), Neuropeptides and Animal Physiology (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (381 citations), Immunology and Allergy (95 citations), Molecular Biology (1.1k citations), Cell Biology (251 citations) and Cancer Research (88 citations). Songhai Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fang Lin, Heidi E. Hamm, Robert M. Graham, Sue-min Chang, Zhizeng Sun, Xiaoyun Tang, Jaime N. Guzmán, D. James Surmeier, Tatiana Tkatch and Jun Ding. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The Journal of Cell Biology, Oncotarget and Developmental Biology.

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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