Hongjun Li

1.2k citations
21 papers · 820 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2

Hongjun Li

20 papers receiving 810 citations

Peers

Hongjun Li
Comparison fields: 5 of 98
  • Cancer Research 303
  • Molecular Biology 536
  • Pharmaceutical Science 40
  • Biomaterials 84
  • Molecular Medicine 21
Replace Jing Qiao with:
Jing Qiao China
Kyeong‐Nam Yu South Korea
Yifan Cai China
Radha Madhyastha Japan
Xiaoxian Huang China
Zeyu Zhang China
Fei Mo China
Bertrand H. Rihn France
Hongjun Li relative to Jing Qiao China Jing Qiao's profile →
Citations per field
00.5×3.0×
Jing Qiao · 1×
Citations per year

Countries citing papers authored by Hongjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019167
2 2019126
3 201589
4 201963
5 201847
6 201641
7 202040
8 201637
9 201933
10 201931
11 202027
12 201526
13 201526
14 202222
15 202318
16 202311
17 20179
18 20185
19 20251
20 20161

About Hongjun Li

Hongjun Li is a scholar working on Molecular Biology, Cancer Research, Neurology, Cellular and Molecular Neuroscience and Ecology, having authored 21 papers that have together received 820 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Neuroblastoma Research and Treatments (3 papers), Cancer-related molecular mechanisms research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Cancer Research (303 citations), Molecular Biology (536 citations), Pharmaceutical Science (40 citations), Biomaterials (84 citations) and Molecular Medicine (21 citations). Hongjun Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Liduan Zheng, Jianqun Wang, Qiangsong Tong, Yang Feng, Yanhua Guo, Kai Huang, Anpei Hu, Yajun Chen, Yang Liu and Xue Wang. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Molecular Therapy, Advances in experimental medicine and biology, RSC Advances and EMBO Molecular Medicine.

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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