Songhai Chen

2.3k citations
52 papers · 1.9k · h-index 24

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 13
    • Receptor Mechanisms and Signaling 11
    • Metabolism, Diabetes, and Cancer 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Cell Adhesion Molecules Research 7

Songhai Chen

50 papers receiving 1.8k citations

Peers

Songhai Chen
Comparison fields: 5 of 142
  • Cellular and Molecular Neuroscience 385
  • Immunology and Allergy 97
  • Molecular Biology 1.1k
  • Cell Biology 260
  • Cancer Research 91
Replace Jürgen Müller with:
Jürgen Müller Germany
Dirk Fey Ireland
Matt Elliott United States
Philippe Gorry France
Paul Henry Frankel United States
Shonna A. Moodie United States
Susan G. Macdonald United States
Christian Sauer Germany
Bernd Pulverer Germany
Laurent Dollé Belgium
Songhai Chen relative to Jürgen Müller Germany Jürgen Müller's profile →
Citations per field
00.5×1.5×1.8×
Jürgen Müller · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006216
2 2006153
3 2001123
4 2007115
5 199697
6 200590
7 200281
8 200462
9 201761
10 200957
11 200456
12 200353
13 201651
14 200850
15 199944
16 201943
17 201442
18 201141
19 200539
20 200635

About Songhai Chen

Songhai Chen is a scholar working on Molecular Biology, Immunology and Allergy, Cellular and Molecular Neuroscience, Cell Biology and Oncology, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (13 papers), Receptor Mechanisms and Signaling (11 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 (385 citations), Immunology and Allergy (97 citations), Molecular Biology (1.1k citations), Cell Biology (260 citations) and Cancer Research (91 citations). Songhai Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fang Hua Lin, Heidi E. Hamm, Robert M. Graham, Sue-min Chang, Zhizeng Sun, Xiaoyun Tang, Joshua A. Goldberg, Charles John Wilson, Jun Ding and Philip J. Ebert. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Molecular and Cellular Biology, Developmental Biology and Cancers.

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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