Feng-Jun He

406 citations
10 papers · 313 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer
    • Protein Degradation and Inhibitors

Papers in

    • RNA modifications and cancer 2
    • Machine Learning in Bioinformatics 1
    • Protein Degradation and Inhibitors 1
    • Histone Deacetylase Inhibitors Research 1

Feng-Jun He

10 papers receiving 312 citations

Peers

Feng-Jun He
Comparison fields: 5 of 67
  • Cancer Research 108
  • Molecular Biology 235
  • Pharmacology 23
  • Microbiology 8
  • Organic Chemistry 34
Replace Archana Katoch with:
Archana Katoch India
Sulagna Sanyal India
Yu-Ping Hsiao Taiwan
Abbas Pirpour Tazehkand Iran
Kevin Brasseur Canada
Isha Gaurav India
Kuang-Jing Huang Taiwan
Quanxiao Li China
Jianxin Cheng China
Antony Joseph Velanganni Arockiam India
Feng-Jun He relative to Archana Katoch India Archana Katoch's profile →
Citations per field
00.5×3.0×
Archana Katoch · 1×
Citations per year

Countries citing papers authored by Feng-Jun He

Since Specialization
Citations

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

Fields of papers citing papers by Feng-Jun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-Jun He. 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 Feng-Jun He. The network helps show where Feng-Jun He may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021156
2 202258
3 202031
4 202119
5 201917
6 201612
7 20159
8 20196
9
[Pathology and immunohistochemistry of thyroid in severe acute respiratory syndrome].
20054
10 20251

About Feng-Jun He

Feng-Jun He is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Biomedical Engineering and Oncology, having authored 10 papers that have together received 313 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (2 papers), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper), MicroRNA in disease regulation (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (108 citations), Molecular Biology (235 citations), Pharmacology (23 citations), Microbiology (8 citations) and Organic Chemistry (34 citations). Feng-Jun He has collaborated with scholars based in China, Finland and Pakistan. Frequent co-authors include Lihong Hu, Lina Gao, Hongzhi Qiao, Yutong Wang, Lei Zhang, Yang Hu, Sajid Asghar, Jialu Xu, Juan Sun and Liang Gao. Their work appears in journals such as International Journal of Nanomedicine, European Journal of Medicinal Chemistry, Organic Chemistry Frontiers, Journal of Enzyme Inhibition and Medicinal Chemistry and 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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