Bisha Ding

2k citations
34 papers · 1.6k · h-index 25

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 8
    • Breast Cancer Treatment Studies 2
    • Hepatocellular Carcinoma Treatment and Prognosis 3

Bisha Ding

34 papers receiving 1.6k citations

Peers

Bisha Ding
Comparison fields: 5 of 87
  • Cancer Research 881
  • Hepatology 83
  • Molecular Biology 425
  • Oncology 97
  • Drug Discovery 1
Replace Lin Lv with:
Lin Lv China
Xuewei Bai China
Qin Xu China
Wenyu Su China
Marianna Halasi United States
Shenmeng Gao China
Hui‐Ping Hsu Taiwan
Chenliang Wang China
Sarah Brockbank United Kingdom
Barbara Zunino France
Bisha Ding relative to Lin Lv China Lin Lv's profile →
Citations per field
00.5×1.5×2×2.4×
Lin Lv · 1×
Citations per year

Countries citing papers authored by Bisha Ding

Since Specialization
Citations

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

Fields of papers citing papers by Bisha Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 2020120
3 2017102
4 201885
5 201880
6 201980
7
MicroRNA regulation of liver cancer stem cells.
201875
8 201871
9 201966
10 202064
11 202062
12 201956
13 201853
14 201950
15 201949
16 201948
17 201946
18 202045
19 201942
20 202041

About Bisha Ding

Bisha Ding is a scholar working on Cancer Research, Hepatology, Molecular Biology, Organic Chemistry and Nutrition and Dietetics, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (3 papers), Antimicrobial agents and applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Breast Cancer Treatment Studies (2 papers), Mechanisms of cancer metastasis (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (881 citations), Hepatology (83 citations), Molecular Biology (425 citations), Oncology (97 citations) and Drug Discovery (1 citation). Bisha Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weiyang Lou, Weimin Fan, Liang Xu, Weimin Fan, Peifen Fu, Jin‐Xing Liu, Guansheng Zhong, Danni Chen, Chang Bao and Jing Chen. Their work appears in journals such as Aging, Frontiers in Cell and Developmental Biology, Acta Biomaterialia, Molecular Therapy — Nucleic Acids and Frontiers in Oncology.

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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