P. Ge
Impact in
- Structural Biology top 1%
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- Protein Structure and Dynamics 3
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- Alzheimer's disease research and treatments 6
- Co-authors
- Z. Hong Zhou (19 shared papers)M.R. Sawaya (11 shared papers)David Eisenberg (10 shared papers)David R. Boyer (8 shared papers)Stan Schein (2 shared papers)Xuekui Yu (3 shared papers)Qin Cao (4 shared papers)Kevin A. Murray (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (7 papers)Nature Communications (4 papers)Nature (4 papers)Proceedings of the National Academy of Sciences (2 papers)Structure (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
P. Ge
44 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Structural Biology 138
- Endocrinology 164
- Neurology 465
- Physiology 684
- Infectious Diseases 452
Countries citing papers authored by P. Ge
This map shows the geographic impact of P. Ge'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 P. Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Ge more than expected).
Fields of papers citing papers by P. Ge
This network shows the impact of papers produced by P. Ge. 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 P. Ge. The network helps show where P. Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Ge, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel Hit paper breakdown → | 2018 | 470 |
| 2 | 2012 | 330 | |
| 3 | 2010 | 191 | |
| 4 | 2019 | 180 | |
| 5 | 2015 | 129 | |
| 6 | 2015 | 126 | |
| 7 | 2022 | 117 | |
| 8 | 2020 | 113 | |
| 9 | 2011 | 107 | |
| 10 | 2022 | 94 | |
| 11 | 2018 | 94 | |
| 12 | 2016 | 76 | |
| 13 | 2017 | 74 | |
| 14 | 2020 | 73 | |
| 15 | 2020 | 67 | |
| 16 | 2011 | 56 | |
| 17 | 2018 | 50 | |
| 18 | 2018 | 45 | |
| 19 | 2014 | 45 | |
| 20 | 2014 | 42 |
About P. Ge
P. Ge is a scholar working on Molecular Biology, Physiology, Materials Chemistry, Infectious Diseases and Ecology, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Alzheimer's disease research and treatments (6 papers), Enzyme Structure and Function (6 papers), Viral Infections and Vectors (5 papers), RNA and protein synthesis mechanisms (5 papers), Viral Infections and Outbreaks Research (4 papers), RNA Research and Splicing (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Structural Biology (138 citations), Endocrinology (164 citations), Neurology (465 citations), Physiology (684 citations) and Infectious Diseases (452 citations). P. Ge has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Z. Hong Zhou, M.R. Sawaya, David Eisenberg, David R. Boyer, Stan Schein, Xuekui Yu, Qin Cao, Kevin A. Murray, Xiaokang Zhang and Guo‐Qiang Bi. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Communications, Nature, Proceedings of the National Academy of Sciences and Structure.
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.