Han Yang

1.5k citations
40 papers · 1.1k · h-index 17

Impact in

Papers in

    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 3
    • Gut microbiota and health 2
    • Fibroblast Growth Factor Research 2
    • MicroRNA in disease regulation 5

Han Yang

36 papers receiving 1.1k citations

Peers

Han Yang
Comparison fields: 5 of 88
  • Cancer Research 228
  • Physiology 49
  • Molecular Biology 588
  • Oncology 160
  • Immunology 120
Replace Matthias Schewe with:
Matthias Schewe Netherlands
Paula K. Greer United States
Reza Mirzaei Iran
Ximei Zhang China
Mengya Zhong China
Qiang Lü China
Xiuyan Yu China
Anna L. Kiss Hungary
Yukisato Kitamura Japan
Yaran Wu China
Han Yang relative to Matthias Schewe Netherlands Matthias Schewe's profile →
Citations per field
00.5×10×15×20×23×
Matthias Schewe · 1×
Citations per year

Countries citing papers authored by Han Yang

Since Specialization
Citations

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

Fields of papers citing papers by Han Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001165
2 2001133
3 2010103
4 202364
5 201962
6 201761
7 202348
8 202244
9 202044
10 201842
11 202338
12 202335
13
Expression of family A melanoma antigen in human gastric carcinoma.
200523
14 201222
15 202220
16 200620
17 201519
18 202214
19 201914
20 202212

About Han Yang

Han Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (3 papers), Immunotherapy and Immune Responses (3 papers), Adenosine and Purinergic Signaling (3 papers), Nanoplatforms for cancer theranostics (3 papers), Gut microbiota and health (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (228 citations), Physiology (49 citations), Molecular Biology (588 citations), Oncology (160 citations) and Immunology (120 citations). Han Yang has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Hye Seung Lee, Woo Ho Kim, Hyeon Kook Lee, Yong Il Kim, Dong Kyun Woo, Hee Sung Kim, Weigang Fang, Yanting Zhou, Xin‐Xia Tian and Hui Yang. Their work appears in journals such as Cancer Science, Oncogene, Journal of Biomedical Nanotechnology, Cancer Letters and Molecular Cell.

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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