Shirley Zhu

23.6k total citations · 4 hit papers
52 papers, 17.1k citations indexed

About

Shirley Zhu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Shirley Zhu has authored 52 papers receiving a total of 17.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 19 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Shirley Zhu's work include Sarcoma Diagnosis and Treatment (26 papers), Cancer Genomics and Diagnostics (8 papers) and Soft tissue tumor case studies (7 papers). Shirley Zhu is often cited by papers focused on Sarcoma Diagnosis and Treatment (26 papers), Cancer Genomics and Diagnostics (8 papers) and Soft tissue tumor case studies (7 papers). Shirley Zhu collaborates with scholars based in United States, Canada and Netherlands. Shirley Zhu's co-authors include Matt van de Rijn, Patrick O. Brown, David Botstein, Charles M. Perou, Christian A. Rees, Michael B. Eisen, Alexander Pergamenschikov, Stefanie S. Jeffrey, Douglas T. Ross and Jonathan R. Pollack and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Shirley Zhu

51 papers receiving 16.6k 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 portraits of human breast tumours

2000 11.7k citations Charles M. Perou, Thérese Sørlie et al. Nature profile →
Distinctive gene expression patterns in human mammary epithelial cells and breast cancers

1999 1.1k citations Charles M. Perou, Stefanie S. Jeffrey et al. Proceedings of the National Academy of Sciences profile →
The Novel Marker, DOG1, Is Expressed Ubiquitously in Gastrointestinal Stromal Tumors Irrespective of KIT or PDGFRA Mutation Status

2004 487 citations Robert B. West, Christopher L. Corless et al. American Journal Of Pathology profile →
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer

2024 62 citations Shirley Zhu, Aaron M. Newman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shirley Zhu United States	34	8.3k	7.2k	7.0k	3.5k	2.0k	52	17.1k
Adam B. Olshen United States	51	8.6k 1.0×	4.9k 0.7×	4.7k 0.7×	2.8k 0.8×	1.4k 0.7×	152	15.7k
Bryan T. Hennessy Ireland	59	9.7k 1.2×	9.0k 1.3×	6.4k 0.9×	3.0k 0.9×	3.1k 1.5×	266	19.8k
Celina G. Kleer United States	65	9.2k 1.1×	7.9k 1.1×	5.8k 0.8×	1.9k 0.5×	2.0k 1.0×	174	17.2k
Fernando Schmitt Portugal	60	5.5k 0.7×	5.3k 0.7×	4.4k 0.6×	2.7k 0.8×	2.1k 1.1×	315	13.0k
Levi A. Garraway United States	68	14.9k 1.8×	7.0k 1.0×	5.6k 0.8×	3.9k 1.1×	2.6k 1.3×	173	22.5k
Rameen Beroukhim United States	58	10.0k 1.2×	4.1k 0.6×	6.1k 0.9×	3.2k 0.9×	1.4k 0.7×	155	17.0k
Britta Weigelt United States	70	7.8k 0.9×	8.1k 1.1×	8.4k 1.2×	3.0k 0.8×	3.5k 1.7×	311	19.1k
François Bertucci France	72	7.5k 0.9×	8.9k 1.2×	5.4k 0.8×	4.8k 1.4×	1.9k 0.9×	515	18.8k
Jennifer A. Pietenpol United States	61	12.1k 1.5×	11.7k 1.6×	5.5k 0.8×	2.6k 0.8×	1.3k 0.7×	145	20.2k
Juan Palazzo United States	52	8.1k 1.0×	4.7k 0.7×	7.2k 1.0×	1.4k 0.4×	2.1k 1.0×	185	14.5k

Countries citing papers authored by Shirley Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Shirley Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirley Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Shirley Zhu. A scholar is included among the top collaborators of Shirley Zhu 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 Shirley Zhu. Shirley Zhu 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:

20 of 20 papers shown

Zhu, Shirley, Benoît Brilland, Dieter P. Reinhardt, et al.. (2024). Cytokine priming enhances the antifibrotic effects of human adipose derived mesenchymal stromal cells conditioned medium. Stem Cell Research & Therapy. 15(1). 329–329. 2 indexed citations

Zhu, Shirley, et al.. (2023). Unraveling the Relevance of Tissue‐Specific Decellularized Extracellular Matrix Hydrogels for Vocal Fold Regenerative Biomaterials: A Comprehensive Proteomic and In Vitro Study. SHILAP Revista de lepidopterología. 3(4). 7 indexed citations

Lee, Myung Chang, Hongchen Cai, Christopher W. Murray, et al.. (2023). A multiplexed in vivo approach to identify driver genes in small cell lung cancer. Cell Reports. 42(1). 111990–111990. 15 indexed citations

Foley, Joseph W., Shirley Zhu, & Robert B. West. (2023). Cost-effective DNA methylation profiling by FML-seq. Life Science Alliance. 6(12). e202302326–e202302326. 3 indexed citations

Przybył, Joanna, Jacob J. Chabon, Lien Spans, et al.. (2018). Combination Approach for Detecting Different Types of Alterations in Circulating Tumor DNA in Leiomyosarcoma. Clinical Cancer Research. 24(11). 2688–2699. 44 indexed citations

Guo, Xiangqian, Vickie Y. Jo, Anne M. Mills, et al.. (2015). Clinically Relevant Molecular Subtypes in Leiomyosarcoma. Clinical Cancer Research. 21(15). 3501–3511. 112 indexed citations

Sweeney, Robert T., Bing Zhang, Shirley Zhu, et al.. (2013). Desktop Transcriptome Sequencing From Archival Tissue to Identify Clinically Relevant Translocations. The American Journal of Surgical Pathology. 37(6). 796–803. 11 indexed citations

Edris, Badreddin, Íñigo Espinosa, Thomas Mühlenberg, et al.. (2012). ROR2 is a novel prognostic biomarker and a potential therapeutic target in leiomyosarcoma and gastrointestinal stromal tumour. The Journal of Pathology. 227(2). 223–233. 66 indexed citations

Colombo, Chiara, Chad J. Creighton, Markus P. Ghadimi, et al.. (2011). Increased midkine expression correlates with desmoid tumour recurrence: a potential biomarker and therapeutic target. The Journal of Pathology. 225(4). 574–582. 18 indexed citations

10.

Beck, Andrew H., Íñigo Espinosa, Badreddin Edris, et al.. (2009). The Macrophage Colony-Stimulating Factor 1 Response Signature in Breast Carcinoma. Clinical Cancer Research. 15(3). 778–787. 154 indexed citations

11.

Lee, Cheng‐Han, Subbaya Subramanian, Andrew H. Beck, et al.. (2009). MicroRNA Profiling of BRCA1/2 Mutation-Carrying and Non-Mutation-Carrying High-Grade Serous Carcinomas of Ovary. PLoS ONE. 4(10). e7314–e7314. 75 indexed citations

12.

Subramanian, Subbaya, Venugopal Thayanithy, Robert B. West, et al.. (2009). Genome‐wide transcriptome analyses reveal p53 inactivation mediated loss of miR‐34a expression in malignant peripheral nerve sheath tumours. The Journal of Pathology. 220(1). 58–70. 94 indexed citations

13.

Lee, Cheng‐Han, Íñigo Espinosa, Suzan Vrijaldenhoven, et al.. (2008). Prognostic Significance of Macrophage Infiltration in Leiomyosarcomas. Clinical Cancer Research. 14(5). 1423–1430. 142 indexed citations

14.

Heerema‐McKenney, Amy, Liliane C. D. Wijnaendts, Joseph F. Pulliam, et al.. (2008). Diffuse Myogenin Expression by Immunohistochemistry is an Independent Marker of Poor Survival in Pediatric Rhabdomyosarcoma. The American Journal of Surgical Pathology. 32(10). 1513–1522. 42 indexed citations

15.

Lee, Cheng‐Han, Íñigo Espinosa, Kristin C. Jensen, et al.. (2008). Gene expression profiling identifies p63 as a diagnostic marker for giant cell tumor of the bone. Modern Pathology. 21(5). 531–539. 54 indexed citations

16.

Subramanian, Subbaya, Robert B. West, Torsten O. Nielsen, et al.. (2006). Genome-wide transcriptome analysis of nerve sheath tumors. Cancer Research. 66. 194–194. 1 indexed citations

17.

West, Robert B., Christopher L. Corless, Xin Chen, et al.. (2004). The Novel Marker, DOG1, Is Expressed Ubiquitously in Gastrointestinal Stromal Tumors Irrespective of KIT or PDGFRA Mutation Status. American Journal Of Pathology. 165(1). 107–113. 487 indexed citations breakdown →

18.

Linn, Sabine C., Robert B. West, Jonathan R. Pollack, et al.. (2003). Gene Expression Patterns and Gene Copy Number Changes in Dermatofibrosarcoma Protuberans. American Journal Of Pathology. 163(6). 2383–2395. 107 indexed citations

19.

Perou, Charles M., Thérese Sørlie, Michael B. Eisen, et al.. (2000). Molecular portraits of human breast tumours. Nature. 406(6797). 747–752. 11684 indexed citations breakdown →

20.

Perou, Charles M., Stefanie S. Jeffrey, Matt van de Rijn, et al.. (1999). Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. Proceedings of the National Academy of Sciences. 96(16). 9212–9217. 1087 indexed citations breakdown →

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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