Forrest D. Hsu

4.2k total citations · 1 hit paper
8 papers, 3.0k citations indexed

About

Forrest D. Hsu is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Forrest D. Hsu has authored 8 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Forrest D. Hsu's work include HER2/EGFR in Cancer Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Forrest D. Hsu is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Forrest D. Hsu collaborates with scholars based in Canada, United States and Norway. Forrest D. Hsu's co-authors include Torsten O. Nielsen, C. Blake Gilks, Matt van de Rijn, Allen M. Gown, Maggie C.U. Cheang, Joseph Ragaz, Gamze Karaca, Zhiyuan Hu, Kristin C. Jensen and Lynn G. Dressler and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and American Journal Of Pathology.

In The Last Decade

Forrest D. Hsu

8 papers receiving 2.9k 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.

Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma

2004 2.1k citations Torsten O. Nielsen, Forrest D. Hsu et al. Clinical Cancer Research profile →

Peers

Forrest D. Hsu

ONCOL

CR

MB

PRM

PFM

Paul van Diest Netherlands

Felipe C. Geyer United Kingdom

Raihanatou Diallo Germany

Aye Aye Thike Singapore

Gregor Krings United States

Gisela Keller Germany

Nathalie Cervera France

Socorro Marıá Rodríguez-Pinilla Spain

Véronique Becette France

Bárbara Adamo Spain

Paul van Diest Netherlands

Forrest D. Hsu

1.4k ×0.9

ONCOL

1.0k ×0.7

CR

1.5k ×1.4

MB

406 ×0.7

PRM

513 ×0.9

PFM

Citations per year, relative to Forrest D. Hsu Forrest D. Hsu (= 1×) peers Paul van Diest

Countries citing papers authored by Forrest D. Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Forrest D. Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Forrest D. Hsu. 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 Forrest D. Hsu. The network helps show where Forrest D. Hsu may publish in the future.

Co-authorship network of co-authors of Forrest D. Hsu

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

8 of 8 papers shown

1.

Callagy, Grace, Paul D.P. Pharoah, Sarah E. Pinder, et al.. (2006). Bcl-2 Is a Prognostic Marker in Breast Cancer Independently of the Nottingham Prognostic Index. Clinical Cancer Research. 12(8). 2468–2475. 187 indexed citations

2.

Terry, Jefferson, Todd Barry, Douglas E. Horsman, et al.. (2005). Fluorescence In Situ Hybridization for the Detection of t(X;18)(p11.2;q11.2) in a Synovial Sarcoma Tissue Microarray Using a Breakapart-Style Probe. Diagnostic Molecular Pathology. 14(2). 77–82. 40 indexed citations

3.

Ng, Tony, Allen M. Gown, Todd Barry, et al.. (2004). Nuclear beta-catenin in mesenchymal tumors. Modern Pathology. 18(1). 68–74. 214 indexed citations

4.

Nielsen, Torsten O., Heather N. Andrews, Maggie C.U. Cheang, et al.. (2004). Expression of the Insulin-Like Growth Factor I Receptor and Urokinase Plasminogen Activator in Breast Cancer Is Associated with Poor Survival. Cancer Research. 64(1). 286–291. 71 indexed citations

5.

Nielsen, Torsten O., Forrest D. Hsu, Kristin C. Jensen, et al.. (2004). Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma. Clinical Cancer Research. 10(16). 5367–5374. 2107 indexed citations breakdown →

6.

Nielsen, Torsten O., Forrest D. Hsu, John X. OʼConnell, et al.. (2003). Tissue Microarray Validation of Epidermal Growth Factor Receptor and SALL2 in Synovial Sarcoma with Comparison to Tumors of Similar Histology. American Journal Of Pathology. 163(4). 1449–1456. 124 indexed citations

7.

Alkushi, Abdulmohsen, et al.. (2003). Immunoprofile of cervical and endometrial adenocarcinomas using a tissue microarray. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 442(3). 271–277. 105 indexed citations

8.

Hsu, Forrest D., Torsten O. Nielsen, Abdulmohsen Alkushi, et al.. (2002). Tissue Microarrays Are an Effective Quality Assurance Tool for Diagnostic Immunohistochemistry. Modern Pathology. 15(12). 1374–1380. 133 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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