Jingyi Fei

55 papers receiving 2.4k citations

Hit Papers

Real-time observation of DNA recognition and rejection by the RNA-guided endonuclease Cas9 2016 · 199 citations
199201620262019202250100150

Peers

Jingyi Fei
Comparison fields: 5 of 95
  • Structural Biology 60
  • Biophysics 219
  • Molecular Biology 2.2k
  • Genetics 430
  • Aging 24
Replace Vladimir Mekler with:
Vladimir Mekler United States
Florian C. Oberstrass United States
Alexander Serganov United States
David Fange Sweden
Wolfgang Wende Germany
Irnov Irnov United States
Dmitri N. Ermolenko United States
Alexey Petrov United States
I.S. Fernandez United Kingdom
Lu Bai United States
Jingyi Fei relative to Vladimir Mekler United States Vladimir Mekler's profile →
Citations per field
00.5×4.2×
Vladimir Mekler · 1×
Citations per year

Countries citing papers authored by Jingyi Fei

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202424
3 202416
4 20243
5 202415
6 20238
7 202311
8 202113
9 202110
10 20201
11 201822
12 20185
13 20174
14 201584
15 201419
16 201410
17 201039
18 200960
19 2009305
20 2008249

About Jingyi Fei

Jingyi Fei is a scholar working on Structural Biology, Biophysics, Molecular Biology, Genetics and Endocrinology, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (30 papers), RNA Research and Splicing (20 papers), RNA modifications and cancer (17 papers), Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (7 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Structural Biology (60 citations), Biophysics (219 citations), Molecular Biology (2.2k citations), Genetics (430 citations) and Aging (24 citations). Jingyi Fei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ruben L. Gonzalez, Taekjip Ha, Jonathan E. Bronson, Chris H. Wiggins, Jake M. Hofman, Daniel MacDougall, Digvijay Singh, Pallav Kosuri, Samuel H. Sternberg and Seong-Jin Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Nature Communications, Nature Structural & Molecular Biology and Biochemistry.

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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