Runwei Yang

618 citations
22 papers · 419 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Genetics and Neurodevelopmental Disorders
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Glioma Diagnosis and Treatment 10
    • MicroRNA in disease regulation 2
    • NF-κB Signaling Pathways 1

Runwei Yang

21 papers receiving 412 citations

Peers

Runwei Yang
Comparison fields: 5 of 72
  • Genetics 88
  • Cancer Research 73
  • Developmental Neuroscience 7
  • Molecular Biology 107
  • Biophysics 10
Replace Bhavesh K. Ahir with:
Bhavesh K. Ahir United States
Marianna Guida Italy
Xuanmin He United States
Katharine Anne McNeill United States
Ana Rita Monteiro United Kingdom
Lorenza Pasqualini Italy
Christine N. Goldfarb United States
Anna‐Luisa Luger Germany
Runwei Yang relative to Bhavesh K. Ahir United States Bhavesh K. Ahir's profile →
Citations per field
00.5×1.5×1.8×
Bhavesh K. Ahir · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 201743
3 202341
4 201531
5 201730
6 201627
7 202324
8 202121
9 202321
10 201314
11 201913
12 202111
13 20229
14 20249
15 20198
16 20228
17 20228
18 20248
19 20235
20 20244

About Runwei Yang

Runwei Yang is a scholar working on Genetics, Cancer Research, Molecular Biology, Developmental Neuroscience and Biophysics, having authored 22 papers that have together received 419 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (2 papers), Signaling Pathways in Disease (1 paper), Microbial Natural Products and Biosynthesis (1 paper), NF-κB Signaling Pathways (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Genetics (88 citations), Cancer Research (73 citations), Developmental Neuroscience (7 citations), Molecular Biology (107 citations) and Biophysics (10 citations). Runwei Yang has collaborated with scholars based in China and United States. Frequent co-authors include Kaishu Li, Yawei Liu, Guo-zhong Yi, Guanglong Huang, Songtao Qi, Hong‐Li Jiao, Yanqing Ding, Yaping Ye, Wenting Liao and Zhiyuan Xiao. Their work appears in journals such as Oncotarget, Journal of Clinical Investigation, Brazilian Journal of Medical and Biological Research, Journal of Neuroinflammation and Academic Radiology.

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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