Oscar Lin

8.5k total citations
146 papers, 4.3k citations indexed

About

Oscar Lin is a scholar working on Surgery, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Oscar Lin has authored 146 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 49 papers in Oncology and 35 papers in Pathology and Forensic Medicine. Recurrent topics in Oscar Lin's work include Salivary Gland Tumors Diagnosis and Treatment (19 papers), Bladder and Urothelial Cancer Treatments (18 papers) and Lymphoma Diagnosis and Treatment (15 papers). Oscar Lin is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (19 papers), Bladder and Urothelial Cancer Treatments (18 papers) and Lymphoma Diagnosis and Treatment (15 papers). Oscar Lin collaborates with scholars based in United States, Portugal and France. Oscar Lin's co-authors include Ronald Ghossein, Richard R. Barakat, Ashok R. Shaha, Glauco Frizzera, Martin Fleisher, Maureen F. Zakowski, Richard J. Wong, Rita Gonzalez-Espinoza, Julie Teruya‐Feldstein and Marina Cardillo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Oscar Lin

138 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oscar Lin United States 34 1.5k 1.4k 1.1k 734 642 146 4.3k
Ann E. Walts United States 34 928 0.6× 887 0.6× 727 0.7× 348 0.5× 369 0.6× 130 3.2k
David C. Chhieng United States 44 2.7k 1.7× 2.8k 2.0× 1.7k 1.6× 778 1.1× 592 0.9× 190 6.1k
Paul E. Wakely United States 33 1.3k 0.8× 1.5k 1.1× 1.5k 1.4× 944 1.3× 323 0.5× 221 4.6k
Guido Pettinato Italy 37 1.6k 1.0× 1.1k 0.8× 902 0.8× 220 0.3× 791 1.2× 144 4.4k
Simonetta Piana Italy 37 1.9k 1.2× 1.0k 0.7× 442 0.4× 1.3k 1.8× 334 0.5× 213 4.5k
CDM Fletcher United States 10 2.3k 1.5× 1.9k 1.4× 2.6k 2.4× 338 0.5× 678 1.1× 16 7.3k
Yoshiki Mikami Japan 41 921 0.6× 1.5k 1.1× 1.1k 1.0× 136 0.2× 656 1.0× 231 5.3k
N. Paul Ohori United States 37 1.2k 0.8× 2.8k 2.0× 1.0k 0.9× 2.9k 3.9× 333 0.5× 120 5.6k
Ján Laco Czechia 30 1.8k 1.2× 1.9k 1.4× 585 0.5× 164 0.2× 352 0.5× 171 3.7k
Diva R. Salomão United States 32 4.5k 2.9× 1.2k 0.9× 1.4k 1.3× 301 0.4× 365 0.6× 143 7.5k

Countries citing papers authored by Oscar Lin

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Lin. A scholar is included among the top collaborators of Oscar Lin 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 Oscar Lin. Oscar Lin 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.
Wang, Lu, et al.. (2025). Rapid on‐site evaluation using telecytology: Quality assurance study at a high‐volume cancer center. Cancer Cytopathology. 133(1). e22929–e22929. 1 indexed citations
2.
Vanderbilt, Chad, Soo‐Ryum Yang, Subhiksha Nandakumar, et al.. (2025). Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling. Nature Communications. 16(1). 116–116. 2 indexed citations
3.
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
5.
Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 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.
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
8.
Lin, Oscar, Susan Alperstein, Güliz A. Barkan, et al.. (2023). American Society of Cytopathology Telecytology validation recommendations for rapid on-site evaluation (ROSE). Journal of the American Society of Cytopathology. 13(2). 111–121. 7 indexed citations
10.
Hang, Jen‐Fan, Min En Nga, Kayoko Higuchi, et al.. (2022). Multi‐institutional validation of a modified scheme for subcategorizing salivary gland neoplasm of uncertain malignant potential (SUMP). Cancer Cytopathology. 130(7). 511–522. 10 indexed citations
12.
Balassanian, Ronald, Matthew C. Cheung, Lorenzo Falchi, et al.. (2021). Global Cytopathology-Hematopathology Practice Trends. American Journal of Clinical Pathology. 157(2). 196–201. 2 indexed citations
13.
Zeppa, Pio, Immacolata Cozzolino, Nancy P. Caraway, et al.. (2020). Announcement: The International System for Reporting Lymph Node Cytopathology. Acta Cytologica. 64(4). 299–305. 13 indexed citations
14.
Scott, Sasinya N., Irina Ostrovnaya, Nancy Bouvier, et al.. (2017). Next‐generation sequencing of urine specimens: A novel platform for genomic analysis in patients with non–muscle‐invasive urothelial carcinoma treated with bacille Calmette‐Guérin. Cancer Cytopathology. 125(6). 416–426. 23 indexed citations
15.
Yoshizawa, Akihiko, Kevin M. Chan, Heather Ames, et al.. (2013). Quality Assurance. Laboratory Investigation. 93. 471–489. 1 indexed citations
16.
Ho, Allen S., Kunal Jain, Hangjun Wang, et al.. (2013). Malignancy Rate in Thyroid Nodules Classified as Bethesda Category III (AUS/FLUS). Thyroid. 24(5). 832–839. 282 indexed citations
17.
Han, Jane, Zahra Asgari, Daniel C. Danila, et al.. (2009). Fluorescence in situ hybridization analysis of circulating tumor cells in metastatic prostate cancer.. Oxford University Research Archive (ORA) (University of Oxford). 11 indexed citations
18.
Shaffer, David R., Margaret Leversha, Daniel C. Danila, et al.. (2007). Circulating Tumor Cell Analysis in Patients with Progressive Castration-Resistant Prostate Cancer. Clinical Cancer Research. 13(7). 2023–2029. 284 indexed citations
19.
Teruya‐Feldstein, Julie, Elizabeth Y. Chiao, D Filippa, et al.. (2004). CD20-negative large-cell lymphoma with plasmablastic features: a clinically heterogenous spectrum in both HIV-positive and -negative patients. Annals of Oncology. 15(11). 1673–1679. 157 indexed citations
20.
Ewing, Cheryl A., et al.. (2004). Nonepithelial malignancies mimicking primary carcinoma of the breast. Diagnostic Cytopathology. 31(5). 352–357. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026