Guang‐Rong Yan

5.1k citations
45 papers · 3.6k indexed · 3 hit papers · h-index 26
Topics
RNA modifications and cancer (16 papers)Cancer-related molecular mechanisms research (7 papers)RNA Research and Splicing (6 papers)

In The Last Decade

Guang‐Rong Yan

44 papers receiving 3.6k citations

Hit Papers

DOSE: an R/Bioconductor package for disease ontology sema...2014202620182022201420172018250500750

Peers

Guang‐Rong Yan
Comparison fields: 5 of 126
  • Molecular Biology 2.7k
  • Cancer Research 1.5k
  • Oncology 534
  • Immunology 433
  • Pulmonary and Respiratory Medicine 271
Replace Huarong Chen with:
Huarong Chen China
Sucheta Telang United States
Víctor Segura Spain
Tingxiu Xiang China
Carlos Pérez‐Plasencia Mexico
David Llobet‐Navàs Spain
Shufang Liang China
Qinglei Gao China
Guang‐Rong Yan relative to Huarong Chen China Huarong Chen's profile →
Citations per field
00.5×1.5×2.3×
Huarong Chen · 1×
Citations per year

Countries citing papers authored by Guang‐Rong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Rong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Rong Yan. 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 Guang‐Rong Yan. The network helps show where Guang‐Rong Yan may publish in the future.

Co-authorship network of co-authors of Guang‐Rong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Rong Yan. A scholar is included among the top collaborators of Guang‐Rong Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang‐Rong Yan. Guang‐Rong Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 4
4 9
5 29
6 55
7 204
8 257
9 234
10 31
11 26
12
N6-Methyladenine DNA Modification in the Human Genomebreakdown →
379
13 67
14
A Peptide Encoded by a Putative lncRNA HOXB-AS3 Suppresses Colon Cancer Growthbreakdown →
541
15 9
16 16
17 15
18 37
19 39
20 33

About Guang‐Rong Yan

Guang‐Rong Yan is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 45 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.7k citations) and Immunology (433 citations). Guang‐Rong Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qing‐Yu He, Guangchuang Yu, Ligen Wang, Song Zhu, Jinzhou Huang, Nan Meng, De Chen, Yutian He, Jizhong Wang and Min Chen. Their work appears in journals such as Nature Communications, The EMBO Journal 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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