Run Huang

992 citations
16 papers · 476 indexed · 1 hit paper · h-index 8
Topics
Epigenetics and DNA Methylation (2 papers)Genetic factors in colorectal cancer (2 papers)RNA modifications and cancer (2 papers)
Partner nations
ChinaEthiopiaJapan

In The Last Decade

Run Huang

15 papers receiving 472 citations

Hit Papers

CD36+ cancer-associated fibroblasts provide immunosuppres...2023202620242025202350100150200

Peers

Run Huang
Comparison fields: 5 of 81
  • Molecular Biology 184
  • Cancer Research 159
  • Oncology 123
  • Immunology 108
  • Pulmonary and Respiratory Medicine 69
Replace Chenyang Tao with:
Chenyang Tao China
Brian Hayes United States
H. Zhong United States
Weiwei Tang China
Shaochuang Wang China
Lufei Zhang China
Weixun Chen China
Yu‐Chin Liu Taiwan
Prakash Kulkarni United States
Junwei Huang China
Run Huang relative to Chenyang Tao China Chenyang Tao's profile →
Citations per field
00.5×1.5×
Chenyang Tao · 1×
Citations per year

Countries citing papers authored by Run Huang

Since Specialization
Citations

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

Fields of papers citing papers by Run Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Run Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Run Huang. A scholar is included among the top collaborators of Run 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 Run Huang. Run Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 23
5 2
6 1
7
CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factorbreakdown →
209
8 28
9 24
10 2
11 17
12 4
13 2
14 31
15 45
16 86

About Run Huang

Run Huang is a scholar working on Cancer Research, Geriatrics and Gerontology and Physiology, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Genetic factors in colorectal cancer (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (159 citations), Hepatology (45 citations) and Immunology (108 citations). Run Huang has collaborated with scholars based in China, Ethiopia and Japan. Frequent co-authors include Chenyang Tao, Wei‐Feng Qu, Jia Fan, Zheng Tang, Ying‐Hong Shi, Yuan Fang, Jian Zhou, Shushu Song, Guiqi Zhu and Jun Gao. Their work appears in journals such as Oncogene, ACS Applied Materials & Interfaces and Experimental Cell 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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