Changjun He

1.1k citations
17 papers · 819 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Circular RNAs in diseases 2
    • Fibroblast Growth Factor Research 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 5
    • Cancer, Hypoxia, and Metabolism 3

Changjun He

17 papers receiving 814 citations

Peers

Changjun He
Comparison fields: 5 of 73
  • Cancer Research 452
  • Hepatology 109
  • Molecular Biology 478
  • Oncology 167
  • Pathology and Forensic Medicine 89
Replace Qingguang Liu with:
Qingguang Liu China
Zongzhen Xu China
Caner Ercan Switzerland
Angélique Gougèlet France
Arihiro Aihara Japan
Zeribe C. Nwosu United States
So Mee Kwon South Korea
Robin Kit‐Ho Lai Hong Kong
Jin He China
Larry Lai Wei Hong Kong
Changjun He relative to Qingguang Liu China Qingguang Liu's profile →
Citations per field
00.5×1.5×
Qingguang Liu · 1×
Citations per year

Countries citing papers authored by Changjun He

Since Specialization
Citations

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

Fields of papers citing papers by Changjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015191
2 2019162
3 2014126
4 201154
5 201152
6 201041
7 201438
8 202036
9 201232
10 201722
11 202121
12 201816
13 20199
14 20207
15 20205
16 20225
17 20232

About Changjun He

Changjun He is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Hepatology, having authored 17 papers that have together received 819 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer Cells and Metastasis (2 papers), Circular RNAs in diseases (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (452 citations), Hepatology (109 citations), Molecular Biology (478 citations), Oncology (167 citations) and Pathology and Forensic Medicine (89 citations). Changjun He has collaborated with scholars based in China, New Zealand and Taiwan. Frequent co-authors include Xueying Sun, Hongchi Jiang, Xian Jiang, Bo Zhai, Xuesong Dong, Haiquan Qiao, Gang Tan, De‐Li Dong, Baoxin Li and Lixin Ma. Their work appears in journals such as Cellular Physiology and Biochemistry, Cell Cycle, Investigational New Drugs, Cell Death and Disease and Disease Markers.

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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