Dongfeng Han

975 citations
28 papers · 754 · h-index 18

Impact in

Papers in

    • RNA modifications and cancer 6
    • Peroxisome Proliferator-Activated Receptors 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Dongfeng Han

28 papers receiving 750 citations

Peers

Dongfeng Han
Comparison fields: 5 of 89
  • Cancer Research 219
  • Geriatrics and Gerontology 23
  • Molecular Biology 404
  • Genetics 49
  • Neurology 36
Replace Zhihao Wu with:
Zhihao Wu China
Susan Sheehan United States
Concetta Saponaro Italy
Zengxuan Nong Canada
Wenjing Liang China
Hongxian Wu China
Sabira Mohammed United States
Reid T. Powell United States
Dongfeng Han relative to Zhihao Wu China Zhihao Wu's profile →
Citations per field
00.5×2.8×
Zhihao Wu · 1×
Citations per year

Countries citing papers authored by Dongfeng Han

Since Specialization
Citations

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

Fields of papers citing papers by Dongfeng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201973
3 201759
4 202048
5 201545
6 201941
7 201938
8 201532
9 202032
10 201631
11 201928
12 201426
13 201526
14 201423
15 201423
16 201819
17 200918
18 201517
19 201913
20 202011

About Dongfeng Han

Dongfeng Han is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 28 papers that have together received 754 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Peroxisome Proliferator-Activated Receptors (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Circular RNAs in diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Cancer Research (219 citations), Geriatrics and Gerontology (23 citations), Molecular Biology (404 citations), Genetics (49 citations) and Neurology (36 citations). Dongfeng Han has collaborated with scholars based in China and United States. Frequent co-authors include Tianfu Yu, Yingyi Wang, Wenjin Wei, Yongping You, Qi Hu, Ning Liu, Junxia Zhang, Sisi Wang, Dehua Jiang and Nan Dong. Their work appears in journals such as Tumor Biology, Oncotarget, Current Pharmaceutical Design, Cellular and Molecular Neurobiology and 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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