Hannah Y. Wen

6.4k total citations
106 papers, 1.7k citations indexed

About

Hannah Y. Wen is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Hannah Y. Wen has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cancer Research, 52 papers in Pathology and Forensic Medicine and 49 papers in Oncology. Recurrent topics in Hannah Y. Wen's work include Breast Cancer Treatment Studies (51 papers), Breast Lesions and Carcinomas (49 papers) and HER2/EGFR in Cancer Research (26 papers). Hannah Y. Wen is often cited by papers focused on Breast Cancer Treatment Studies (51 papers), Breast Lesions and Carcinomas (49 papers) and HER2/EGFR in Cancer Research (26 papers). Hannah Y. Wen collaborates with scholars based in United States, China and Italy. Hannah Y. Wen's co-authors include Edi Brogi, Jorge S. Reis‐Filho, Larry Norton, Britta Weigelt, Fresia Pareja, Monica Morrow, Sujata Patil, Mark E. Robson, Alice Y. Ho and Monica Morrow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hannah Y. Wen

94 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Y. Wen United States 24 823 801 551 347 273 106 1.7k
Fresia Pareja United States 25 812 1.0× 797 1.0× 595 1.1× 575 1.7× 351 1.3× 92 1.9k
Takashi Hojo Japan 19 669 0.8× 755 0.9× 425 0.8× 354 1.0× 202 0.7× 76 1.4k
Yunn‐Yi Chen United States 25 837 1.0× 849 1.1× 747 1.4× 433 1.2× 509 1.9× 58 2.3k
Suzanne Parry United Kingdom 23 739 0.9× 609 0.8× 478 0.9× 652 1.9× 171 0.6× 44 1.6k
Rebecca Senetta Italy 21 1.1k 1.3× 601 0.8× 427 0.8× 717 2.1× 157 0.6× 92 2.0k
Laura Fulford United Kingdom 15 829 1.0× 931 1.2× 481 0.9× 457 1.3× 153 0.6× 20 1.8k
Muzaffar Akram United States 15 483 0.6× 442 0.6× 407 0.7× 317 0.9× 134 0.5× 22 1.1k
Sadako Akashi‐Tanaka Japan 23 848 1.0× 995 1.2× 667 1.2× 489 1.4× 147 0.5× 116 2.0k
Hind Nassar United States 19 828 1.0× 531 0.7× 548 1.0× 349 1.0× 368 1.3× 24 1.7k
Lorenza Pecciarini Italy 17 860 1.0× 349 0.4× 507 0.9× 836 2.4× 193 0.7× 42 2.1k

Countries citing papers authored by Hannah Y. Wen

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Y. Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Y. Wen. 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 Hannah Y. Wen. The network helps show where Hannah Y. Wen may publish in the future.

Co-authorship network of co-authors of Hannah Y. Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Y. Wen. A scholar is included among the top collaborators of Hannah Y. Wen 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 Hannah Y. Wen. Hannah Y. Wen 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
1.
2.
Hashmi, Atif A, Hannah Y. Wen, Melissa P. Murray, et al.. (2025). Clinicopathological features of microinvasive lobular carcinoma. Histopathology. 87(2). 235–245.
3.
Zhao, Shuang, et al.. (2025). p53: A player in the tumor microenvironment. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(4). 795–810. 4 indexed citations
4.
Tozbikian, Gary, Marilyn M. Bui, David G. Hicks, et al.. (2024). Best practices for achieving consensus in HER2‐low expression in breast cancer: current perspectives from practising pathologists. Histopathology. 85(3). 489–502. 4 indexed citations
5.
Ferraro, Emanuela, Andrea V. Barrio, Daniel J. Kelly, et al.. (2024). Invasive disease-free survival and brain metastasis rates in patients treated with neoadjuvant chemotherapy with trastuzumab and pertuzumab. npj Breast Cancer. 10(1). 96–96.
6.
Narayan, Priyanka, Zhigang Zhang, Boris Mueller, et al.. (2023). Metaplastic carcinoma of the breast: matched cohort analysis of recurrence and survival. Breast Cancer Research and Treatment. 199(2). 355–361. 5 indexed citations
7.
Derakhshan, Fatemeh, Arnaud Da Cruz Paula, Pier Selenica, et al.. (2023). Nonlobular Invasive Breast Carcinomas with Biallelic Pathogenic CDH1 Somatic Alterations: A Histologic, Immunophenotypic, and Genomic Characterization. Modern Pathology. 37(2). 100375–100375. 4 indexed citations
8.
Grabenstetter, Anne, Edi Brogi, Hong Zhang, et al.. (2022). Solid-basaloid variant of adenoid cystic carcinoma of the breast with near complete response to neoadjuvant chemotherapy. npj Breast Cancer. 8(1). 93–93. 8 indexed citations
9.
Silva, Edaise M. da, Pier Selenica, Mahsa Vahdatinia, et al.. (2021). TERT promoter hotspot mutations and gene amplification in metaplastic breast cancer. npj Breast Cancer. 7(1). 43–43. 18 indexed citations
10.
Moukarzel, Lea A., Lorenzo Ferrando, Arnaud Da Cruz Paula, et al.. (2020). The genetic landscape of metaplastic breast cancers and uterine carcinosarcomas. Molecular Oncology. 15(4). 1024–1039. 19 indexed citations
11.
Perron, Marjorie, Hannah Y. Wen, Matthew G. Hanna, Edi Brogi, & Dara S. Ross. (2020). HER2 Immunohistochemistry in Invasive Micropapillary Breast Carcinoma: Complete Assessment of an Incomplete Pattern. Archives of Pathology & Laboratory Medicine. 145(8). 979–987. 8 indexed citations
12.
Knežević, Andrea, et al.. (2020). Atypical ductal hyperplasia bordering on DCIS on core biopsy is associated with higher risk of upgrade than conventional atypical ductal hyperplasia. Breast Cancer Research and Treatment. 184(3). 873–880. 5 indexed citations
13.
Pareja, Fresia, Lorenzo Ferrando, Simon Lee, et al.. (2020). The genomic landscape of metastatic histologic special types of invasive breast cancer. npj Breast Cancer. 6(1). 53–53. 18 indexed citations
14.
Pareja, Fresia, Arnaud Da Cruz Paula, Rodrigo Gularte‐Mérida, et al.. (2020). Pleomorphic adenomas and mucoepidermoid carcinomas of the breast are underpinned by fusion genes. npj Breast Cancer. 6(1). 20–20. 30 indexed citations
15.
Pareja, Fresia, David N. Brown, Ju Youn Lee, et al.. (2020). Whole-Exome Sequencing Analysis of the Progression from Non–Low-Grade Ductal Carcinoma In Situ to Invasive Ductal Carcinoma. Clinical Cancer Research. 26(14). 3682–3693. 40 indexed citations
16.
Pareja, Fresia, Mahsa Vahdatinia, Caterina Marchiò, et al.. (2020). Neuroendocrine tumours of the breast: a genomic comparison with mucinous breast cancers and neuroendocrine tumours of other anatomic sites. Journal of Clinical Pathology. 75(1). 10–17. 7 indexed citations
17.
Beça, Francisco, Ana Paula Martins Sebastião, Fresia Pareja, et al.. (2020). Whole‐exome analysis of metaplastic breast carcinomas with extensive osseous differentiation. Histopathology. 77(2). 321–326. 7 indexed citations
18.
Turashvili, Gulisa, Edi Brogi, Maura N. Dickler, et al.. (2018). The 21-Gene Recurrence Score in Male Breast Cancer. Annals of Surgical Oncology. 25(6). 1530–1535. 10 indexed citations
19.
Tadros, Audree B., Hannah Y. Wen, & Monica Morrow. (2018). Breast Cancers of Special Histologic Subtypes Are Biologically Diverse. Annals of Surgical Oncology. 25(11). 3158–3164. 25 indexed citations
20.
Turashvili, Gulisa, Edi Brogi, Monica Morrow, et al.. (2017). The 21-gene recurrence score in special histologic subtypes of breast cancer with favorable prognosis. Breast Cancer Research and Treatment. 165(1). 65–76. 24 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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