Ying Jin
Impact in
- Developmental Neuroscience top 1%
- Molecular Biology top 1%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
-
- Pluripotent Stem Cells Research 59
- CRISPR and Genetic Engineering 36
- Epigenetics and DNA Methylation 22
- RNA Interference and Gene Delivery 14
- Renal and related cancers 14
- RNA Research and Splicing 13
- Genomics and Chromatin Dynamics 9
- Genetics 15
- Co-authors
- Molly Hammell (5 shared papers)Guilai Shi (9 shared papers)Bing Liao (16 shared papers)Oliver H. Tam (1 shared paper)Junjie Gu (28 shared papers)Acong Yang (7 shared papers)Yu Ma (11 shared papers)Chunliang Li (12 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Cell Research (9 papers)Journal of Cellular Physiology (6 papers)Biochemical and Biophysical Research Communications (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ying Jin
207 papers receiving 7.5k citations
Ying Jin's Hit Papers
Peers
Comparison fields: 5 of 151
- Developmental Neuroscience 301
- Molecular Biology 5.1k
- Cancer Research 776
- Aging 77
- Genetics 369
Countries citing papers authored by Ying Jin
This map shows the geographic impact of Ying 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 Ying Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Jin more than expected).
Fields of papers citing papers by Ying Jin
This network shows the impact of papers produced by Ying 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 Ying Jin. The network helps show where Ying Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TEtranscripts: a package for including transposable elements in differential expression analysis of RNA-seq datasets Hit paper breakdown → | 2015 | 404 |
| 2 | 2015 | 377 | |
| 3 | 2010 | 362 | |
| 4 | 2011 | 271 | |
| 5 | 2010 | 200 | |
| 6 | 2008 | 192 | |
| 7 | 2011 | 191 | |
| 8 | 2009 | 156 | |
| 9 | 2015 | 144 | |
| 10 | 2012 | 140 | |
| 11 | 2009 | 128 | |
| 12 | 2004 | 126 | |
| 13 | 2004 | 123 | |
| 14 | 2004 | 114 | |
| 15 | 2016 | 112 | |
| 16 | 2009 | 111 | |
| 17 | 2013 | 95 | |
| 18 | 2018 | 91 | |
| 19 | 2014 | 90 | |
| 20 | 2019 | 90 |
About Ying Jin
Ying Jin is a scholar working on Molecular Biology, Genetics, Immunology, Biomedical Engineering and Surgery, having authored 219 papers that have together received 7.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (59 papers), CRISPR and Genetic Engineering (36 papers), Epigenetics and DNA Methylation (22 papers), RNA Interference and Gene Delivery (14 papers), Renal and related cancers (14 papers), RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (9 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Developmental Neuroscience (301 citations), Molecular Biology (5.1k citations), Cancer Research (776 citations), Aging (77 citations) and Genetics (369 citations). Ying Jin has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Molly Hammell, Guilai Shi, Bing Liao, Oliver H. Tam, Junjie Gu, Acong Yang, Yu Ma, Chunliang Li, Ying Yang and Hongyao Yu. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Journal of Cellular Physiology, Biochemical and Biophysical Research Communications and PLoS ONE.
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.