Long Gui

671 citations
20 papers · 517 · h-index 13

Impact in

Papers in

    • Advanced Electron Microscopy Techniques and Applications 3
    • Microtubule and mitosis dynamics 2
    • Cellular transport and secretion 2

Long Gui

19 papers receiving 515 citations

Peers

Long Gui
Comparison fields: 5 of 50
  • Structural Biology 37
  • Biochemistry 40
  • Cell Biology 79
  • Epidemiology 156
  • Virology 13
Replace Sarah J. Tilley with:
Sarah J. Tilley United Kingdom
Alex Liqi Lai United States
Alexander Neuhaus Germany
Rei Matsuoka Japan
Juliette Fédry France
Alexander von der Malsburg Germany
Christine Girard-Blanc France
Carson J. La Vake United States
Adeline Kerviel United Kingdom
Swetha Víjayakríshnan United Kingdom
Long Gui relative to Sarah J. Tilley United Kingdom Sarah J. Tilley's profile →
Citations per field
00.5×5×10×13×
Sarah J. Tilley · 1×
Citations per year

Countries citing papers authored by Long Gui

Since Specialization
Citations

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

Fields of papers citing papers by Long Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201175
2 201657
3 201445
4 201842
5 202240
6 201939
7 201238
8 201928
9 201526
10 200925
11 201722
12 202222
13 202322
14 201813
15 201612
16 20245
17 20254
18 20221
19 20261
20 20260

About Long Gui

Long Gui is a scholar working on Structural Biology, Cell Biology, Genetics, Epidemiology and Biochemistry, having authored 20 papers that have together received 517 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (6 papers), Influenza Virus Research Studies (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Microtubule and mitosis dynamics (2 papers), Cellular transport and secretion (2 papers), Virology and Viral Diseases (2 papers), Toxoplasma gondii Research Studies (2 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Structural Biology (37 citations), Biochemistry (40 citations), Cell Biology (79 citations), Epidemiology (156 citations) and Virology (13 citations). Long Gui has collaborated with scholars based in United States, China and France. Frequent co-authors include Kelly K. Lee, Matteo Porotto, Anne Moscona, Daniela Nicastro, Alexander Mileant, Aparna Talekar, Antonello Pessi, Alessia Santoprete, Eric Matthew Jurgens and Neil T. Umbreit. Their work appears in journals such as Journal of Virology, Nature Communications, Molecular Biology of the Cell, Proteins Structure Function and Bioinformatics 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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