Binkai Chi

652 citations
9 papers · 418 · h-index 8

Impact in

  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Nuclear Structure and Function
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 8
    • RNA modifications and cancer 4
    • RNA regulation and disease 2
    • Nuclear Structure and Function 2
    • Extracellular vesicles in disease 1
    • Neurogenetic and Muscular Disorders Research 4

Binkai Chi

9 papers receiving 417 citations

Peers

Binkai Chi
Comparison fields: 5 of 42
  • Genetics 85
  • Molecular Biology 361
  • Neurology 70
  • Cancer Research 35
  • Neurology 10
Replace Adam S. Mastrocola with:
Adam S. Mastrocola United States
Duah Alkam United States
Maureen V. Akinyi Finland
Paola Zuccotti Italy
Nasiha S. Ahmed United States
Natalie Forrester United Kingdom
Xinling Gan China
Brandon R. Lowe United States
Laure Jobert Norway
Oliver Plöttner Germany
Binkai Chi relative to Adam S. Mastrocola United States Adam S. Mastrocola's profile →
Citations per field
00.5×2.6×
Adam S. Mastrocola · 1×
Citations per year

Countries citing papers authored by Binkai Chi

Since Specialization
Citations

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

Fields of papers citing papers by Binkai Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012100
2 201780
3 201564
4 201849
5 201445
6 201834
7 201824
8 201920
9 20232

About Binkai Chi

Binkai Chi is a scholar working on Molecular Biology, Genetics, Neurology, Epidemiology and Infectious Diseases, having authored 9 papers that have together received 418 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Neurogenetic and Muscular Disorders Research (4 papers), RNA modifications and cancer (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA regulation and disease (2 papers), Nuclear Structure and Function (2 papers), Hepatitis B Virus Studies (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Genetics (85 citations), Molecular Biology (361 citations), Neurology (70 citations), Cancer Research (35 citations) and Neurology (10 citations). Binkai Chi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hong Cheng, Lantian Wang, Robin Reed, Jaya Gangopadhyay, Guifen Wu, Min Shi, Tomohiro Yamazaki, Qingliang Wang, Xingya Chang and Jeremy D. O’Connell. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, The EMBO Journal and Scientific Reports.

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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