Feng Gu

746 citations
5 papers · 515 · h-index 5

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Ion channel regulation and function 1
    • Biochemical and Structural Characterization 1
    • Protein Tyrosine Phosphatases 1
    • Glycosylation and Glycoproteins Research 1
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 2
    • Hemoglobin structure and function 1

Feng Gu

5 papers receiving 506 citations

Peers

Feng Gu
Comparison fields: 5 of 79
  • Cell Biology 298
  • Physiology 58
  • Sensory Systems 40
  • Molecular Biology 322
  • Immunology 75
Replace Rachida Tacine with:
Rachida Tacine France
Naveen Bojjireddy United States
Valentina Bouchè Italy
Jemma L. Webber United States
Sandrine Lépine United States
Shubana Kazi United Kingdom
Eloise Stapleton United Kingdom
Helen Coe Canada
Miki Obata Japan
Christian Junker Germany
Feng Gu relative to Rachida Tacine France Rachida Tacine's profile →
Citations per field
00.5×3.6×
Rachida Tacine · 1×
Citations per year

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Feng Gu, 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 Feng Gu Line = papers co-authored together Feng Gu links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Feng Gu

Feng Gu is a scholar working on Molecular Biology, Cell Biology, Physiology, Sensory Systems and Immunology, having authored 5 papers that have together received 515 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ion channel regulation and function (1 paper), Hemoglobin structure and function (1 paper), Biochemical and Structural Characterization (1 paper), Protein Tyrosine Phosphatases (1 paper), Galectins and Cancer Biology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (298 citations), Physiology (58 citations), Sensory Systems (40 citations), Molecular Biology (322 citations) and Immunology (75 citations). Feng Gu has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Jean Grüenberg, Fernando Aniento, Robert G. Parton, Michel L. Tremblay, Matthew Stuible, Duc Thang Nguyên, Éric Chevet, Nadia Dubé, María Jesús Marcote and Christelle Moreau. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Nature Chemical Biology and PROTOPLASMA.

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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