Fang Suo

883 citations
30 papers · 553 · h-index 14

Impact in

  • Aging top 10%
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • Fungal and yeast genetics research 13
    • DNA Repair Mechanisms 8
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 3
    • Microtubule and mitosis dynamics 4
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 3

Fang Suo

27 papers receiving 553 citations

Peers

Fang Suo
Comparison fields: 5 of 67
  • Aging 22
  • Cell Biology 121
  • Molecular Biology 425
  • Epidemiology 106
  • Plant Science 120
Replace Martin Willer with:
Martin Willer United Kingdom
Riko Hatakeyama Switzerland
Stefan U. Åström Sweden
Christopher M. Yellman United States
Sofia Aronova United States
Scott E. Erdman United States
Charles Yu United States
Kin‐ichiro Kominami Japan
Carolin A. Müller United Kingdom
Keith G. Weinstock United States
Fang Suo relative to Martin Willer United Kingdom Martin Willer's profile →
Citations per field
00.5×4.8×
Martin Willer · 1×
Citations per year

Countries citing papers authored by Fang Suo

Since Specialization
Citations

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

Fields of papers citing papers by Fang Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fang Suo, 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 Fang Suo Line = papers co-authored together Fang Suo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 201769
3 202066
4 201435
5 201734
6 201132
7 201332
8 201931
9 201624
10 201123
11 202121
12 201521
13 201918
14 202114
15 201411
16 20237
17 20237
18 20185
19 20244
20 20244

About Fang Suo

Fang Suo is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Plant Science and Epidemiology, having authored 30 papers that have together received 553 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (13 papers), DNA Repair Mechanisms (8 papers), Microtubule and mitosis dynamics (4 papers), Genetic Neurodegenerative Diseases (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Aging (22 citations), Cell Biology (121 citations), Molecular Biology (425 citations), Epidemiology (106 citations) and Plant Science (120 citations). Fang Suo has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Li‐Lin Du, Meng‐Qiu Dong, Wen Hu, Wanzhong He, Xiao‐Man Liu, Jiamin Zhang, Jingyi Ren, Zhaodi Jiang, En-Zhi Shen and Ming Li. Their work appears in journals such as G3 Genes Genomes Genetics, Genome Biology and Evolution, PLoS Genetics, Nature Communications and Molecular Cell.

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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