Julia Naso

593 total citations
29 papers, 278 citations indexed

About

Julia Naso is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Julia Naso has authored 29 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 12 papers in Oncology and 5 papers in Surgery. Recurrent topics in Julia Naso's work include Occupational and environmental lung diseases (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Julia Naso is often cited by papers focused on Occupational and environmental lung diseases (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Julia Naso collaborates with scholars based in Canada, United States and Japan. Julia Naso's co-authors include Andrew Churg, Diana N. Ionescu, Shoutaro Tsuji, Chen Zhou, Steven J.M. Jones, Cheryl Ho, Hossein Farahani, Adrian Levine, Stephen Yip and Ali Bashashati and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal Of Pathology.

In The Last Decade

Julia Naso

28 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Naso Canada 10 159 87 57 50 29 29 278
Haohua Teng China 13 172 1.1× 92 1.1× 75 1.3× 37 0.7× 59 2.0× 28 301
Cristian Barrera United States 7 92 0.6× 131 1.5× 83 1.5× 53 1.1× 22 0.8× 17 239
Gareth Bryson United Kingdom 9 57 0.4× 61 0.7× 45 0.8× 57 1.1× 48 1.7× 20 274
Huei‐Chieh Chuang Taiwan 9 108 0.7× 114 1.3× 27 0.5× 25 0.5× 68 2.3× 21 278
Renata Zelić Sweden 7 137 0.9× 45 0.5× 136 2.4× 33 0.7× 29 1.0× 14 342
Chiara Lucrezia Deantoni Italy 9 173 1.1× 49 0.6× 83 1.5× 14 0.3× 49 1.7× 29 273
Blythe Gorman United States 9 72 0.5× 94 1.1× 29 0.5× 53 1.1× 31 1.1× 13 305
Gisele Cruz United States 3 209 1.3× 67 0.8× 273 4.8× 49 1.0× 26 0.9× 4 344
Karim Saba Switzerland 10 177 1.1× 42 0.5× 46 0.8× 18 0.4× 62 2.1× 32 288
Toshihiro Shiozawa Japan 11 165 1.0× 125 1.4× 28 0.5× 16 0.3× 52 1.8× 50 321

Countries citing papers authored by Julia Naso

Since Specialization
Citations

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

Fields of papers citing papers by Julia Naso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Naso

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Naso. A scholar is included among the top collaborators of Julia Naso 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 Julia Naso. Julia Naso 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.
Naso, Julia, Diping Wang, Timothy Leclair, et al.. (2024). Pulmonary gangliocytic paraganglioma: An under-recognized mimic of carcinoid tumor. Human Pathology. 146. 23–27. 1 indexed citations
2.
Naso, Julia, Stephen Yip, Curtis Hughesman, et al.. (2024). Confirmation of Recurrent Lung Cancer Following Resection Using Liquid Biopsy, a Proof-of-Concept Real-World Study. Current Oncology. 31(7). 4052–4062. 1 indexed citations
3.
Naso, Julia, Sarah M. Jenkins, Anja C. Roden, et al.. (2024). Prognostic Immunohistochemistry for Ki-67 and OTP on Small Biopsies of Pulmonary Carcinoid Tumors. The American Journal of Surgical Pathology. 48(6). 742–750. 2 indexed citations
4.
5.
Farahani, Hossein, David Farnell, James T. Topham, et al.. (2024). A Deep Learning Approach for the Identification of the Molecular Subtypes of Pancreatic Ductal Adenocarcinoma Based on Whole Slide Pathology Images. American Journal Of Pathology. 194(12). 2302–2312. 3 indexed citations
6.
Naso, Julia, Ying‐Chun Lo, & Lynette M. Sholl. (2023). Updates in pathology and molecular diagnostics to inform the evolving landscape of thoracic surgery and oncology. Journal of Surgical Oncology. 127(2). 244–257. 2 indexed citations
7.
Naso, Julia, Janani Reisenauer, Eric S. Edell, et al.. (2023). Remotely operated robotic microscopy for rapid diagnosis of bronchoscopic cytology specimens. Diagnostic Cytopathology. 51(9). 554–562. 4 indexed citations
8.
Naso, Julia, Sarah M. Jenkins, Julie A. Vrana, et al.. (2023). Investigation of the prognostic significance of CD5, CD117, EZH2, POU2F3, MTAP and BAP1 in thymic carcinoma.. Journal of Clinical Oncology. 41(16_suppl). e20646–e20646. 1 indexed citations
9.
10.
Naso, Julia, et al.. (2021). Discordance in PD-L1 scores on repeat testing of non-small cell lung carcinomas. Cancer Treatment and Research Communications. 27. 100353–100353. 13 indexed citations
11.
Naso, Julia, Adrian Levine, Hossein Farahani, et al.. (2021). Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations. Modern Pathology. 34(11). 2028–2035. 15 indexed citations
12.
Naso, Julia, et al.. (2021). Terminal ileum is the most sensitive site for the histologic diagnosis of grade 4 graft-versus-host disease (GvHD) in the lower GI tract and is a harbinger of poor outcome. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 479(5). 919–925. 3 indexed citations
13.
Naso, Julia, et al.. (2021). Automated PD-L1 Scoring for Non-Small Cell Lung Carcinoma Using Open-Source Software. Pathology & Oncology Research. 27. 609717–609717. 14 indexed citations
14.
Naso, Julia, Basile Tessier‐Cloutier, Janine Senz, David G. Huntsman, & Andrew Churg. (2021). Significance of p53 immunostaining in mesothelial proliferations and correlation with TP53 mutation status. Modern Pathology. 35(1). 77–81. 7 indexed citations
15.
Naso, Julia & Andrew Churg. (2020). Claudin-4 shows superior specificity for mesothelioma vs non–small-cell lung carcinoma compared with MOC-31 and Ber-EP4. Human Pathology. 100. 10–14. 20 indexed citations
16.
Naso, Julia, Gang Wang, Fatemeh Derakhshan, et al.. (2020). Comparability of laboratory-developed and commercial PD-L1 assays in non-small cell lung carcinoma. Annals of Diagnostic Pathology. 50. 151590–151590. 4 indexed citations
17.
Naso, Julia, Hui-Min Yang, & David F. Schaeffer. (2020). Variability in Synoptic Reporting of Colorectal Cancer pT4a Category and Lymphovascular Invasion. Archives of Pathology & Laboratory Medicine. 145(3). 343–351. 2 indexed citations
18.
Churg, Andrew & Julia Naso. (2020). The Separation of Benign and Malignant Mesothelial Proliferations. The American Journal of Surgical Pathology. 44(11). e100–e112. 38 indexed citations
19.
Pors, Jennifer, Julia Naso, Kyra B. Berg, & Andrew Churg. (2019). Cyclin D1 immunohistochemical staining to separate benign from malignant mesothelial proliferations. Modern Pathology. 33(2). 312–318. 7 indexed citations
20.

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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