Runwei Yang

634 citations
21 papers · 388 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Glioma Diagnosis and Treatment

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 3
    • Single-cell and spatial transcriptomics 2
    • RNA modifications and cancer 2
    • Glioma Diagnosis and Treatment 7

Runwei Yang

21 papers receiving 384 citations

Peers

Runwei Yang
Comparison fields: 5 of 82
  • Cancer Research 99
  • Genetics 62
  • Molecular Biology 171
  • Neurology 13
  • Developmental Neuroscience 6
Replace Russell Williams with:
Russell Williams United States
Xinke Xu China
Melanie Jackson United States
Gretchen M. Alicea United States
Sami Khoshyomn United States
Anna‐Luisa Luger Germany
Kuniyasu Saigusa Japan
Zhangqi Dou China
Tamar Canello Israel
Runwei Yang relative to Russell Williams United States Russell Williams's profile →
Citations per field
00.5×5.5×
Russell Williams · 1×
Citations per year

Countries citing papers authored by Runwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Runwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 201743
3 202334
4 201730
5 201530
6 201626
7 202320
8 202320
9 202118
10 201314
11 201912
12 202111
13 202410
14 20228
15 20228
16 20197
17 20227
18 20247
19 20244
20 20233

About Runwei Yang

Runwei Yang is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 21 papers that have together received 388 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Ubiquitin and proteasome pathways (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (3 papers), Single-cell and spatial transcriptomics (2 papers), Phagocytosis and Immune Regulation (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (99 citations), Genetics (62 citations), Molecular Biology (171 citations), Neurology (13 citations) and Developmental Neuroscience (6 citations). Runwei Yang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yawei Liu, Kaishu Li, Guozhong Yi, Guanglong Huang, Hong‐Li Jiao, Zhiyuan Xiao, Songtao Qi, Wenting Liao, Yanqing Ding and Yaping Ye. Their work appears in journals such as Oncotarget, Brazilian Journal of Medical and Biological Research, Clinical Cancer Research, Journal of Biophotonics and Frontiers in Neuroanatomy.

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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