Junyuan Wu

29.4k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Junyuan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Junyuan Wu has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Junyuan Wu's work include Gene expression and cancer classification (2 papers), Advanced Breast Cancer Therapies (1 paper) and Takotsubo Cardiomyopathy and Associated Phenomena (1 paper). Junyuan Wu is often cited by papers focused on Gene expression and cancer classification (2 papers), Advanced Breast Cancer Therapies (1 paper) and Takotsubo Cardiomyopathy and Associated Phenomena (1 paper). Junyuan Wu collaborates with scholars based in United States, China and Sweden. Junyuan Wu's co-authors include Charles M. Perou, Joel S. Parker, J. S. Marron, Mónica Benito, Xiang Dong, Quan Du, William K. Funkhouser, Carol G. Shores, Gamze Karaca and Dale Butterfoss and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Cell.

In The Last Decade

Junyuan Wu

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular classification of head and neck squamous cell carcinomas using patterns of gene expression

2004 500 citations Christine H. Chung, Joel S. Parker et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junyuan Wu United States	6	704	384	353	181	176	7	1.2k
Victoria Bingham United Kingdom	22	581 0.8×	257 0.7×	430 1.2×	257 1.4×	70 0.4×	46	1.4k
G Brugal France	17	422 0.6×	230 0.6×	283 0.8×	94 0.5×	31 0.2×	54	1.0k
Xiaomei Li China	19	414 0.6×	268 0.7×	193 0.5×	64 0.4×	35 0.2×	58	844
Ludmila Danilova United States	24	1.1k 1.5×	536 1.4×	1.0k 2.9×	88 0.5×	68 0.4×	65	2.3k
Luo Wang China	20	1.0k 1.4×	198 0.5×	273 0.8×	125 0.7×	17 0.1×	62	1.4k
Dario Strbenac Australia	16	1.0k 1.5×	256 0.7×	312 0.9×	153 0.8×	18 0.1×	36	1.4k
Diane Lawson United States	20	739 1.0×	261 0.7×	422 1.2×	151 0.8×	17 0.1×	50	1.6k
Annaïck Carles Canada	18	887 1.3×	241 0.6×	256 0.7×	94 0.5×	29 0.2×	31	1.2k
Wenzel Vogel Germany	19	444 0.6×	207 0.5×	228 0.6×	46 0.3×	31 0.2×	36	773
Timon P.H. Buys Canada	12	369 0.5×	139 0.4×	154 0.4×	69 0.4×	21 0.1×	18	635

Countries citing papers authored by Junyuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Junyuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyuan Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ye, Mao, et al.. (2025). Construction of a nomogram-based risk prediction model for depressive symptoms in middle-aged and young breast cancer patients. World Journal of Clinical Oncology. 16(4). 102208–102208.

2.

Wu, Junyuan, Chunsheng Li, Xianfei Ji, et al.. (2012). Evaluation of respiratory dysfunction in a pig model of severe acute dichlorvos poisoning.. PubMed. 125(20). 3612–8. 6 indexed citations

3.

Li, Chunsheng, et al.. (2011). Cardiac abnormalities in severe acute dichlorvos poisoning*. Critical Care Medicine. 39(8). 1906–1912. 10 indexed citations

4.

Oh, Daniel, Melissa A. Troester, Jerry Usary, et al.. (2006). Estrogen-Regulated Genes Predict Survival in Hormone Receptor–Positive Breast Cancers. Journal of Clinical Oncology. 24(11). 1656–1664. 265 indexed citations

5.

Chung, Christine H., Joel S. Parker, Gamze Karaca, et al.. (2004). Molecular classification of head and neck squamous cell carcinomas using patterns of gene expression. Cancer Cell. 5(5). 489–500. 500 indexed citations breakdown →

6.

Benito, Mónica, Joel S. Parker, Quan Du, et al.. (2003). Adjustment of systematic microarray data biases. Bioinformatics. 20(1). 105–114. 302 indexed citations

7.

Wu, Junyuan, К. В. Крутовский, & Steven H. Strauss. (1998). Abundant Mitochondrial Genome Diversity, Population Differentiation and Convergent Evolution in Pines. Genetics. 150(4). 1605–1614. 69 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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