Jianyi Ding

777 citations
6 papers · 501 · 1 hit paper · h-index 5

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics

Papers in

    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 3
    • Single-cell and spatial transcriptomics 1
    • Zebrafish Biomedical Research Applications 2

Jianyi Ding

6 papers receiving 499 citations

Jianyi Ding's Hit Papers

IDH mutation in glioma: molecular mechanisms and potential therapeutic targets 2020 · 426 citations
4260+2+4Years since publication100200300400

Peers

Jianyi Ding
Comparison fields: 5 of 69
  • Genetics 254
  • Cancer Research 185
  • Structural Biology 6
  • Molecular Biology 258
  • Radiology, Nuclear Medicine and Imaging 60
Replace Krissie Lenting with:
Krissie Lenting Netherlands
Lindsay Stetson United States
Matthew Smith-Cohn United States
Signe Regner Michaelsen Denmark
Guo-Shi Lin China
Manabu Onishi Japan
Maleeha Qazi Canada
Jethro Hu United States
Olga Gusyatiner Switzerland
K. Aldape United States
Jianyi Ding relative to Krissie Lenting Netherlands Krissie Lenting's profile →
Citations per field
00.5×3.2×
Krissie Lenting · 1×
Citations per year

Countries citing papers authored by Jianyi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jianyi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
IDH mutation in glioma: molecular mechanisms and potential therapeutic targets
Hit paper breakdown →
2020426
2 201634
3 202027
4 20238
5 20234
6 20192

About Jianyi Ding

Jianyi Ding is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Genetics, having authored 6 papers that have together received 501 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Zebrafish Biomedical Research Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Adrenal and Paraganglionic Tumors (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Genetics (254 citations), Cancer Research (185 citations), Structural Biology (6 citations), Molecular Biology (258 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Jianyi Ding has collaborated with scholars based in United States and China. Frequent co-authors include Chunzhang Yang, Mingyu Qian, Sabrina J. Cai, Sue Han, Mark R. Gilbert, Yang Liu, Mioara Larion, Zhexin Zhu, Fan Tang and Di Yu. Their work appears in journals such as Stem Cells, Cell stem cell, British Journal of Cancer, Cells and Cancers.

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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