Shunming Fang

877 citations
8 papers · 670 indexed · h-index 5
    • Cellular transport and secretion 4
    • Microtubule and mitosis dynamics 2
    • Lipid Membrane Structure and Behavior 3
    • Photosynthetic Processes and Mechanisms 2
    • Advanced Biosensing Techniques and Applications 1
    • Fungal and yeast genetics research 1
    • DNA Repair Mechanisms 1
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology 2

Shunming Fang

7 papers receiving 669 citations

Peers

Shunming Fang
Comparison fields: 5 of 65
  • Clinical Biochemistry 122
  • Cell Biology 276
  • Structural Biology 16
  • Molecular Biology 563
  • Physiology 27
Replace Masatoshi Esaki with:
Masatoshi Esaki Japan
Anneri Sanger United Kingdom
Divya Pathak India
Gonen Golani Israel
Anna L. Hatch United States
Pinar S. Gurel United States
Ashleigh M. Raczkowski United States
Curtis Schauder United States
S.N. Ryazantsev Russia
Yueyao Zhu United States
Shunming Fang relative to Masatoshi Esaki Japan Masatoshi Esaki's profile →
Citations per field
00.5×1.5×2.1×
Masatoshi Esaki · 1×
Citations per year

Countries citing papers authored by Shunming Fang

Since Specialization
Citations

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

Fields of papers citing papers by Shunming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Shunming Fang, 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 Shunming Fang Line = papers co-authored together Shunming Fang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20250
2 201872
3 201469
4 20131
5 20121
6 2011166
7 2010336
8 199425

About Shunming Fang

Shunming Fang is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 8 papers that have together received 670 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers), Microtubule and mitosis dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Advanced Biosensing Techniques and Applications (1 paper), Fungal and yeast genetics research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (122 citations), Cell Biology (276 citations) and Structural Biology (16 citations). Shunming Fang has collaborated with scholars based in United States and China. Frequent co-authors include Jenny E. Hinshaw, Jason A. Mears, Jodi Nunnari, Elena Ingerman, Laura L. Lackner, Joshua S. Chappie, Ronald A. Milligan, Marilyn Leonard, Sandra L. Schmid and Fred Dyda. Their work appears in journals such as Biophysical Journal, Nature, Cell, International Journal of Biological Macromolecules and Nature Structural & Molecular 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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