Jiarui Ding

43 papers receiving 2.5k citations

Hit Papers

Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin 2020 · 579 citations
5792020202620222024100200300400500

Peers

Jiarui Ding
Comparison fields: 5 of 122
  • Cancer Research 730
  • Reproductive Medicine 335
  • Biophysics 194
  • Obstetrics and Gynecology 251
  • Molecular Biology 1.7k
Replace Shumpei Ishikawa with:
Shumpei Ishikawa Japan
Gulisa Turashvili Canada
Afshan McCarthy United Kingdom
Lisa M. Sapinoso United States
Wing H. Wong United States
H. Raza Ali United Kingdom
Matthew D. Wilkerson United States
Elton Rexhepaj Ireland
Timo Gaiser Germany
Jiarui Ding relative to Shumpei Ishikawa Japan Shumpei Ishikawa's profile →
Citations per field
00.5×5.2×
Shumpei Ishikawa · 1×
Citations per year

Countries citing papers authored by Jiarui Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jiarui Ding Line = papers co-authored together Jiarui Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 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 →
2020579
2 2012246
3 2018224
4 2012210
5 2013186
6 2012152
7 2012129
8 2012117
9 202294
10 201185
11 201569
12 201661
13 202153
14 201528
15 202328
16 201426
17 201626
18 202422
19 200921
20 201118

About Jiarui Ding

Jiarui Ding is a scholar working on Biophysics, Cancer Research, Spectroscopy, Analytical Chemistry and Molecular Biology, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Cancer Genomics and Diagnostics (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Gene expression and cancer classification (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Single-cell and spatial transcriptomics (4 papers), Machine Learning in Bioinformatics (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Cancer Research (730 citations), Reproductive Medicine (335 citations), Biophysics (194 citations), Obstetrics and Gynecology (251 citations) and Molecular Biology (1.7k 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, Ali Bashashati, Samuel Aparício, Gavin Ha, Yan Hu, Jason D. Buenrostro and Lindsay M. LaFave. Their work appears in journals such as Nature Communications, Bioinformatics, Modern Pathology, Case Studies in Construction Materials and Clinical Epigenetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026