Heping Li

1.6k citations
47 papers · 1.2k indexed · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Epigenetics and DNA Methylation

Papers in

Heping Li

46 papers receiving 1.2k citations

Peers

Heping Li
Comparison fields: 5 of 94
  • Cancer Research 503
  • Molecular Biology 755
  • Hepatology 77
  • Oncology 232
  • Biomaterials 91
Replace Ina Kurth with:
Ina Kurth Germany
Nader Hanna United States
Elizabeth A. Kuczynski Canada
Bea Pauwels Belgium
Wence Zhou China
Éric Guérin France
Won Jin Ho United States
Jean-Pierre Gillet United States
Junxing Huang China
Christian Rolfo United States
Heping Li relative to Ina Kurth Germany Ina Kurth's profile →
Citations per field
00.5×3.0×
Ina Kurth · 1×
Citations per year

Countries citing papers authored by Heping Li

Since Specialization
Citations

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

Fields of papers citing papers by Heping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20239
4 20231
5 20226
6 202118
7 202115
8 202029
9 201921
10 201954
11 201846
12 201748
13 20176
14 20169
15 20167
16 20166
17 201518
18 201529
19 2014100
20 201383

About Heping Li

Heping Li is a scholar working on Cancer Research, Hepatology, Oncology, Molecular Biology and Biophysics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (6 papers), Cancer Mechanisms and Therapy (4 papers), Cancer Cells and Metastasis (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (503 citations), Molecular Biology (755 citations), Hepatology (77 citations), Oncology (232 citations) and Biomaterials (91 citations). Heping Li has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jianting Long, Guosheng Tan, Qiangsheng Dai, Binhui Xie, Bing Zhang, Jianyong Yang, Shiqiu Xiong, Xiaonong Wang, Ruifang Zeng and Bing Zhang. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, Anti-Cancer Drugs, BMC Cancer and Journal of Experimental & Clinical Cancer Research.

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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