Heather Chen

633 total citations
25 papers, 371 citations indexed

About

Heather Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Heather Chen has authored 25 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Heather Chen's work include AI in cancer detection (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Pleural and Pulmonary Diseases (3 papers). Heather Chen is often cited by papers focused on AI in cancer detection (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Pleural and Pulmonary Diseases (3 papers). Heather Chen collaborates with scholars based in United States, France and Portugal. Heather Chen's co-authors include James M. Dolezal, Jefree J. Schulte, Jakob Nikolas Kather, Alexander T. Pearson, Sara Kochanny, Rita Nanda, Olufunmilayo I. Olopade, Tatjana Antic, Frederick M. Howard and Robert L. Grossman and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer.

In The Last Decade

Heather Chen

20 papers receiving 360 citations

Peers

Heather Chen
Sumeet Hindocha United Kingdom
Bradley J. Nartowt United States
Lindsey Westbrook United States
W. P. Smith United States
Saikit Lam Hong Kong
Christine England United States
P. T. Teo United States
Sumeet Hindocha United Kingdom
Heather Chen
Citations per year, relative to Heather Chen Heather Chen (= 1×) peers Sumeet Hindocha

Countries citing papers authored by Heather Chen

Since Specialization
Citations

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

Fields of papers citing papers by Heather Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Chen. A scholar is included among the top collaborators of Heather Chen 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 Heather Chen. Heather Chen 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.
Chen, Heather, et al.. (2024). Second opinion for pulmonary and pleural cytology is valuable for patient care. Journal of the American Society of Cytopathology. 13(5). 367–376.
2.
Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations
3.
Chen, Heather, Pankhuri Wanjari, Peng Wang, et al.. (2024). Lung adenocarcinomas with isolated TP53 mutation: A comprehensive clinical, cytopathologic and molecular characterization. Cancer Medicine. 13(1). e6873–e6873. 6 indexed citations
4.
Chen, Heather, Tao Huang, Kathleen O’Brien, et al.. (2024). Endometriosis first presenting in pleural fluid cytology. Diagnostic Cytopathology. 52(4). E95–E99.
5.
Chen, Heather, Wei Hao, Jonas J. Heymann, et al.. (2024). Changing digital and telecytology practices post COVID-19 comparing ASC survey results from 2016 to 2023. Journal of the American Society of Cytopathology. 13(3). 194–204. 4 indexed citations
6.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 97–110. 33 indexed citations
7.
Berger, Yaniv, Heather Chen, Oliver S. Eng, et al.. (2023). Surgical phenotype of patients with peritoneal mesothelioma and a germline mutation. Cancer. 129(14). 2152–2160. 2 indexed citations
8.
Chen, Heather, Melissa Y. Tjota, Hedy L. Kindler, et al.. (2023). Characterizing the distribution of alterations in mesothelioma and their correlation to morphology. American Journal of Clinical Pathology. 160(3). 238–246. 6 indexed citations
9.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 86–96. 27 indexed citations
11.
Chen, Heather, Razvan Lapadat, Ricardo R. Lastra, et al.. (2021). Accuracy of Subclassification and Grading of Renal Tumors on Fine Needle Aspiration Cytology Alone. Acta Cytologica. 65(2). 140–149. 2 indexed citations
12.
Howard, Frederick M., James M. Dolezal, Sara Kochanny, et al.. (2021). The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nature Communications. 12(1). 4423–4423. 149 indexed citations
13.
Tjota, Melissa Y., Heather Chen, Megan Parilla, et al.. (2020). Eosinophilic Renal Cell Tumors With a TSC and MTOR Gene Mutations Are Morphologically and Immunohistochemically Heterogenous. The American Journal of Surgical Pathology. 44(7). 943–954. 62 indexed citations
14.
Rosenberg, Ari, Sara Kochanny, James M. Dolezal, et al.. (2020). Prediction of histologic and molecular subsets of soft tissue sarcoma using deep learning.. Journal of Clinical Oncology. 38(15_suppl). e23529–e23529. 1 indexed citations
15.
Chen, Heather & Joyce L. deJong. (2017). Increased Lung Weights in Drug‐related Fatalities. Journal of Forensic Sciences. 62(6). 1632–1634. 6 indexed citations
16.
Chen, Heather, Lingfeng Yu, Cyrus Manuel, & Brian J. F. Wong. (2010). Using optical coherence tomography to monitor effects of electromechanical reshaping in septal cartilage. Head & Neck Oncology. 2(S1).
17.
Chen, Heather, Lingfeng Yu, Cyrus Manuel, & Brian J. F. Wong. (2010). Using optical coherence tomography to monitor effects of electromechanical reshaping in septal cartilage. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7548. 75482J–75482J.
18.
Chen, Heather, et al.. (2006). Humidity Effects on the Relaxation of Perfluoropolyether Lubricant Films. 645–645. 3 indexed citations
19.
Chen, Heather, Qian Guo, Lei Li, Yiao-Tee Hsia, & Myung S. Jhon. (2006). Humidity Effects on the Relaxation of Perfluoropolyether Lubricant Films. IEEE Transactions on Magnetics. 42(10). 2531–2533. 7 indexed citations
20.
Feenstra, R. M., V. Ramachandran, & Heather Chen. (2001). Recent developments in scanning tunneling spectroscopy of semiconductor surfaces. Applied Physics A. 72(S2). S193–S199. 7 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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