W. G. Yan

3.2k total citations
2 papers, 4 citations indexed

About

W. G. Yan is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, W. G. Yan has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Plant Science and 1 paper in Cancer Research. Recurrent topics in W. G. Yan's work include MicroRNA in disease regulation (1 paper), Plant Stress Responses and Tolerance (1 paper) and Cancer-related molecular mechanisms research (1 paper). W. G. Yan is often cited by papers focused on MicroRNA in disease regulation (1 paper), Plant Stress Responses and Tolerance (1 paper) and Cancer-related molecular mechanisms research (1 paper). W. G. Yan collaborates with scholars based in China. W. G. Yan's co-authors include Lihua Jiang, Peiyong Xin, Shujing Cheng, Yanling Li, Zhensheng Kang, Jie Liu, Gang Wang, Zhanjiang Yuan, Pu Yuan and Jinfang Chu and has published in prestigious journals such as The Plant Journal and ESC Heart Failure.

In The Last Decade

W. G. Yan

2 papers receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. G. Yan China 2 2 1 1 1 1 2 4
T. Chowdhury United Kingdom 2 2 1.0× 4 4
B. Mura Italy 2 2 1.0× 1 1.0× 1 1.0× 2 4
C. Schäfer Germany 2 2 1.0× 2 3
Y. Cheng China 1 2 1.0× 1 1.0× 3 3
M. Zhong China 2 2 1.0× 1 1.0× 5 6
J. Sun China 1 2 1.0× 1 1.0× 2 2
Hyejin Lee South Korea 2 2 1.0× 3 5
João Duarte Portugal 2 2 1.0× 4 7
Kezhocuyi Kezo India 1 2 1.0× 1 1.0× 2 3
Nikolay Viktorovich Yankov Russia 2 2 1.0× 1 1.0× 3 3

Countries citing papers authored by W. G. Yan

Since Specialization
Citations

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

Fields of papers citing papers by W. G. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. G. 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 W. G. Yan. The network helps show where W. G. Yan may publish in the future.

Co-authorship network of co-authors of W. G. Yan

This figure shows the co-authorship network connecting the top 25 collaborators of W. G. Yan. A scholar is included among the top collaborators of W. G. 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 W. G. Yan. W. G. Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Jiang, Lihua, Zhanjiang Yuan, W. G. Yan, et al.. (2025). Transcriptomic and metabolomic analyses unveil TaASMT3‐mediated wheat resistance against stripe rust by promoting melatonin biosynthesis. The Plant Journal. 122(2). e70182–e70182. 3 indexed citations
2.
Yan, W. G., et al.. (2024). Clinical Application and Immune Infiltration Landscape of Stemness-Related Genes in Heart Failure. ESC Heart Failure. 12(1). 250–270. 1 indexed citations

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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