Long Gui
Impact in
- Structural Biology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Protist diversity and phylogeny 4
- Lipid Membrane Structure and Behavior 2
-
- Influenza Virus Research Studies 3
- Virology and Viral Diseases 2
- Co-authors
- Kelly K. Lee (8 shared papers)Anne Moscona (3 shared papers)Matteo Porotto (3 shared papers)Daniela Nicastro (8 shared papers)James A. Williams (2 shared papers)Alexander Mileant (2 shared papers)Antonello Pessi (1 shared paper)Aparna Talekar (1 shared paper)
- Journals
- Journal of Virology (3 papers)Molecular Biology of the Cell (2 papers)Annals of Nuclear Energy (2 papers)Nature Communications (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Long Gui
27 papers receiving 533 citations
Peers
Comparison fields: 5 of 84
- Structural Biology 23
- Cell Biology 111
- Epidemiology 170
- Biochemistry 39
- Virology 22
Countries citing papers authored by Long Gui
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 73 | |
| 2 | 2016 | 55 | |
| 3 | 2014 | 44 | |
| 4 | 2018 | 39 | |
| 5 | 2019 | 39 | |
| 6 | 2012 | 38 | |
| 7 | 2022 | 32 | |
| 8 | 2015 | 26 | |
| 9 | 2019 | 26 | |
| 10 | 2009 | 24 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 5 |
About Long Gui
Long Gui is a scholar working on Molecular Biology, Epidemiology, Genetics, Cell Biology and Paleontology, having authored 29 papers that have together received 534 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Protist diversity and phylogeny (4 papers), Influenza Virus Research Studies (3 papers), Virology and Viral Diseases (2 papers), interferon and immune responses (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Structural Biology (23 citations), Cell Biology (111 citations), Epidemiology (170 citations), Biochemistry (39 citations) and Virology (22 citations). Long Gui has collaborated with scholars based in United States, China and France. Frequent co-authors include Kelly K. Lee, Anne Moscona, Matteo Porotto, Daniela Nicastro, James A. Williams, Alexander Mileant, Antonello Pessi, Aparna Talekar, Alessia Santoprete and Eric M. Jurgens. Their work appears in journals such as Journal of Virology, Molecular Biology of the Cell, Annals of Nuclear Energy, Nature Communications and The EMBO Journal.
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.