Jun Huang

4.4k citations
81 papers · 3.3k indexed · 2 hit papers · h-index 30
Topics
Cancer-related molecular mechanisms research (18 papers)MicroRNA in disease regulation (10 papers)Circular RNAs in diseases (9 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Jun Huang

77 papers receiving 3.3k citations

Hit Papers

Ferroptosis in cancer and cancer immunotherapy202120262022202420222021100200300400

Peers

Jun Huang
Comparison fields: 5 of 111
  • Molecular Biology 2.1k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 982
  • Oncology 491
  • Epidemiology 454
Replace Yohei Maeshima with:
Yohei Maeshima Japan
Ning Ren China
Kazuhiro Yoshida Japan
Gang Huang China
Andrew C. Newby United Kingdom
Johannes Schödel Germany
Chunhua Yu United States
Nandini Ghosh‐Choudhury United States
Jingjing Yang China
Akeila Bellahcène Belgium
Jun Huang relative to Yohei Maeshima Japan Yohei Maeshima's profile →
Citations per field
00.5×6.1×
Yohei Maeshima · 1×
Citations per year

Countries citing papers authored by Jun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Huang. A scholar is included among the top collaborators of Jun Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Huang. Jun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 12
6 17
7
Ferroptosis in cancer and cancer immunotherapybreakdown →
457
8 87
9 29
10 14
11 1
12 1
13 27
14 19
15 18
16 22
17 198
18 55
19 91
20 6

About Jun Huang

Jun Huang is a scholar working on Cancer Research, Rheumatology and Molecular Biology, having authored 81 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), MicroRNA in disease regulation (10 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.1k citations) and Pulmonary and Respiratory Medicine (982 citations). Jun Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiangdong Ni, Daolin Tang, Deye Song, Rui Kang, Hongtao He, Muliang Ding, Yongguang Tao, Ke Liu, Feng Xie and Lei Zhao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026