Long Gui

770 citations
29 papers · 500 · h-index 14

Impact in

Papers in

    • Protist diversity and phylogeny 4
    • Lipid Membrane Structure and Behavior 2
    • Influenza Virus Research Studies 4
    • Respiratory viral infections research 2

Long Gui

25 papers receiving 499 citations

Peers

Long Gui
Comparison fields: 5 of 81
  • Structural Biology 23
  • Cell Biology 108
  • Biochemistry 38
  • Virology 24
  • Epidemiology 168
Replace Erin Stempinski with:
Erin Stempinski United States
Jonathan Snyder United States
Sylvie Perrot France
Katharina Höhn Germany
Androniki Kolovou Germany
Andreia Pinto United Kingdom
Megan S. Harrison United States
Darren J. Ellis United Kingdom
Charlotte E. Melia Netherlands
Olga Oleksiuk Germany
Long Gui relative to Erin Stempinski United States Erin Stempinski's profile →
Citations per field
00.5×6.3×
Erin Stempinski · 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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201654
3 201444
4 201839
5 201235
6 201933
7 202230
8 201525
9 200923
10 201921
11 202220
12 202320
13 201718
14 202213
15 201810
16 20169
17 20238
18 20237
19 20245
20 20245

About Long Gui

Long Gui is a scholar working on Molecular Biology, Epidemiology, Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (5 papers), Microtubule and mitosis dynamics (5 papers), Protist diversity and phylogeny (4 papers), Influenza Virus Research Studies (4 papers), Micro and Nano Robotics (2 papers), Respiratory viral infections research (2 papers), Lipid Membrane Structure and Behavior (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Structural Biology (23 citations), Cell Biology (108 citations), Biochemistry (38 citations), Virology (24 citations) and Epidemiology (168 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, James A. Williams, Aparna Talekar, Antonello Pessi, Alessia Santoprete and Eric M. Jurgens. Their work appears in journals such as Journal of Virology, Nature Communications, Annals of Nuclear Energy, Molecular Biology of the Cell and The Journal of Cell 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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