Huiyan Jin
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Plant Reproductive Biology
- DNA Repair Mechanisms
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- Fungal and yeast genetics research 3
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- Reproductive System and Pregnancy 2
- Co-authors
- Craig D. Kaplan (8 shared papers)Yongfeng Guo (1 shared paper)Jun Ni (1 shared paper)Steven E. Clark (1 shared paper)Emanuela M. Bruscia (2 shared papers)Diane S. Krause (4 shared papers)Chenxi Qiu (3 shared papers)Pingxia Zhang (3 shared papers)
- Journals
- Blood (2 papers)PLoS Genetics (2 papers)G3 Genes Genomes Genetics (2 papers)Molecular Cell (1 paper)Transcription (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Huiyan Jin
21 papers receiving 609 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 460
- Structural Biology 4
- Genetics 26
- Cancer Research 33
- Genetics 64
Countries citing papers authored by Huiyan Jin
This map shows the geographic impact of Huiyan Jin'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 Huiyan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiyan Jin more than expected).
Fields of papers citing papers by Huiyan Jin
This network shows the impact of papers produced by Huiyan Jin. 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 Huiyan Jin. The network helps show where Huiyan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiyan Jin, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2012 | 77 | |
| 3 | 2010 | 70 | |
| 4 | 2013 | 59 | |
| 5 | 2015 | 57 | |
| 6 | 2018 | 42 | |
| 7 | 2020 | 30 | |
| 8 | 2016 | 28 | |
| 9 | 2015 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2019 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 3 | |
| 18 | 2014 | 2 | |
| 19 | [Influence factors for prognosis in patients with acute oral poisoning with paraquat]. | 2012 | 2 |
| 20 | 2014 | 1 |
About Huiyan Jin
Huiyan Jin is a scholar working on Molecular Biology, Immunology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 21 papers that have together received 618 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Fungal and yeast genetics research (3 papers), Reproductive System and Pregnancy (2 papers), Platelet Disorders and Treatments (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Molecular Biology (460 citations), Structural Biology (4 citations), Genetics (26 citations), Cancer Research (33 citations) and Genetics (64 citations). Huiyan Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Craig D. Kaplan, Yongfeng Guo, Jun Ni, Steven E. Clark, Emanuela M. Bruscia, Diane S. Krause, Chenxi Qiu, Pingxia Zhang, Erin Nevius and Masaru Ishii. Their work appears in journals such as Blood, PLoS Genetics, G3 Genes Genomes Genetics, Molecular Cell and Transcription.
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.