Jiarui Ding
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Single-cell and spatial transcriptomics 5
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 4
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- Advanced Proteomics Techniques and Applications 8
- Co-authors
- Sohrab P. Shah (18 shared papers)Anne Condon (4 shared papers)Aviv Regev (5 shared papers)David G. Huntsman (8 shared papers)Samuel Aparício (7 shared papers)Ali Bashashati (6 shared papers)Gavin Ha (6 shared papers)Zachary Chiang (1 shared paper)
- Journals
- Nature Communications (4 papers)Bioinformatics (3 papers)Case Studies in Construction Materials (2 papers)Modern Pathology (2 papers)PROTEOMICS (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Jiarui Ding
44 papers receiving 2.6k citations
Jiarui Ding's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 661
- Reproductive Medicine 291
- Obstetrics and Gynecology 228
- Biophysics 180
- Molecular Biology 1.6k
Countries citing papers authored by Jiarui Ding
This map shows the geographic impact of Jiarui Ding'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 Jiarui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiarui Ding more than expected).
Fields of papers citing papers by Jiarui Ding
This network shows the impact of papers produced by Jiarui Ding. 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 Jiarui Ding. The network helps show where Jiarui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiarui Ding, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin Hit paper breakdown → | 2020 | 626 |
| 2 | 2012 | 258 | |
| 3 | 2018 | 235 | |
| 4 | 2012 | 219 | |
| 5 | 2013 | 195 | |
| 6 | 2012 | 162 | |
| 7 | 2012 | 138 | |
| 8 | 2012 | 130 | |
| 9 | 2022 | 103 | |
| 10 | 2011 | 94 | |
| 11 | 2015 | 70 | |
| 12 | 2016 | 65 | |
| 13 | 2021 | 57 | |
| 14 | 2023 | 31 | |
| 15 | 2015 | 29 | |
| 16 | 2024 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2016 | 27 | |
| 19 | 2009 | 21 | |
| 20 | 2011 | 19 |
About Jiarui Ding
Jiarui Ding is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Advanced Proteomics Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers), Machine Learning in Bioinformatics (4 papers), Gene expression and cancer classification (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Cancer Research (661 citations), Reproductive Medicine (291 citations), Obstetrics and Gynecology (228 citations), Biophysics (180 citations) and Molecular Biology (1.6k citations). Jiarui Ding has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Sohrab P. Shah, Anne Condon, Aviv Regev, David G. Huntsman, Samuel Aparício, Ali Bashashati, Gavin Ha, Zachary Chiang, Alison Brack and Ya‐Chieh Hsu. Their work appears in journals such as Nature Communications, Bioinformatics, Case Studies in Construction Materials, Modern Pathology and PROTEOMICS.
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.