Mary Salvatore

2.6k total citations · 1 hit paper
89 papers, 1.5k citations indexed

About

Mary Salvatore is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Mary Salvatore has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Oncology. Recurrent topics in Mary Salvatore's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Sarcoidosis and Beryllium Toxicity Research (11 papers). Mary Salvatore is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Sarcoidosis and Beryllium Toxicity Research (11 papers). Mary Salvatore collaborates with scholars based in United States, Italy and China. Mary Salvatore's co-authors include Claudia I. Henschke, David F. Yankelevitz, Kathleen M. Capaccione, Rowena Yip, María L. Padilla, Belinda D’Souza, Raja M. Flores, Mingzhu Liang, Christine Kim Garcia and James P. Smith and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Mary Salvatore

80 papers receiving 1.4k citations

Hit Papers

TGF-β signaling: critical... 2024 2026 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Salvatore United States 20 880 408 238 182 161 89 1.5k
Esther J. Nossent Netherlands 20 1.0k 1.1× 169 0.4× 91 0.4× 215 1.2× 126 0.8× 72 1.4k
Yoshiki Demura Japan 24 856 1.0× 366 0.9× 314 1.3× 97 0.5× 31 0.2× 83 1.5k
Benoît Ghaye Belgium 15 282 0.3× 179 0.4× 123 0.5× 109 0.6× 134 0.8× 51 777
Girish S. Shroff United States 15 451 0.5× 198 0.5× 228 1.0× 135 0.7× 59 0.4× 97 1.0k
Qianqian Ren China 8 301 0.3× 397 1.0× 145 0.6× 393 2.2× 203 1.3× 15 952
Yunhee Choi South Korea 20 365 0.4× 211 0.5× 355 1.5× 97 0.5× 37 0.2× 63 1.4k
Sharath Subramanian United States 15 478 0.5× 384 0.9× 220 0.9× 102 0.6× 27 0.2× 21 1.7k
Min Jae South Korea 15 444 0.5× 347 0.9× 95 0.4× 77 0.4× 89 0.6× 65 923
Marie‐Pierre Debray France 18 737 0.8× 152 0.4× 149 0.6× 30 0.2× 63 0.4× 82 1.2k
Pei‐Ming Huang Taiwan 25 1.0k 1.1× 76 0.2× 210 0.9× 194 1.1× 166 1.0× 141 1.9k

Countries citing papers authored by Mary Salvatore

Since Specialization
Citations

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

Fields of papers citing papers by Mary Salvatore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Salvatore

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Salvatore. A scholar is included among the top collaborators of Mary Salvatore 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 Mary Salvatore. Mary Salvatore 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.
Salvatore, Mary, et al.. (2025). Evaluating lung cancer risk factors in adults with interstitial lung disease. Lung Cancer. 201. 108416–108416.
2.
McGroder, Claire, Mary Salvatore, Belinda D’Souza, et al.. (2025). Imaging, Pulmonary Function, and Histopathologic Findings of Persistent Fibrosis in a Longitudinal Cohort 3 Years after COVID-19. Annals of the American Thoracic Society. 22(11). 1654–1663.
4.
Pisano, Thomas J., Florence X. Doo, Mary Salvatore, et al.. (2024). Dynamic Digital Radiography Pulmonary Function Testing. 2(3). 100052–100052.
5.
Salvatore, Mary, et al.. (2024). TGF-β signaling: critical nexus of fibrogenesis and cancer. Journal of Translational Medicine. 22(1). 594–594. 52 indexed citations breakdown →
6.
Lin, Tiffany, et al.. (2024). Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans. Journal of Translational Medicine. 22(1). 51–51. 12 indexed citations
7.
McGroder, Claire, Mary Salvatore, Belinda D’Souza, et al.. (2024). Improved pulmonary function and exercise tolerance despite persistent pulmonary fibrosis over 1 year after severe COVID-19 infection. Thorax. 79(5). 472–475. 1 indexed citations
8.
Salvatore, Mary, et al.. (2023). Is pulmonary fibrosis a precancerous disease?. European Journal of Radiology. 160. 110723–110723. 7 indexed citations
9.
Mansfield, Aaron S., Nathan R. Foster, P. Savvides, et al.. (2023). Phase 2 randomized trial of neoadjuvant or palliative chemotherapy with or without immunotherapy for peritoneal mesothelioma (Alliance A092001).. Journal of Clinical Oncology. 41(16_suppl). TPS8603–TPS8603.
10.
Desperito, Elise, et al.. (2022). Chest CT for Breast Cancer Diagnosis. Life. 12(11). 1699–1699. 14 indexed citations
11.
Padilla, María L., et al.. (2022). Idiopathic pulmonary fibrosis and lung cancer: future directions and challenges. Breathe. 18(4). 220147–220147. 27 indexed citations
12.
Kim, John S., Michaela R. Anderson, Elana J. Bernstein, et al.. (2021). Associations of D-Dimer with Computed Tomographic Lung Abnormalities, Serum Biomarkers of Lung Injury, and Forced Vital Capacity: MESA Lung Study. Annals of the American Thoracic Society. 18(11). 1839–1848. 2 indexed citations
13.
Shaish, Hiram, Firas S. Ahmed, David J. Lederer, et al.. (2020). Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis. Annals of the American Thoracic Society. 18(1). 51–59. 30 indexed citations
14.
Michele, Simona De, Yu Sun, Igor Katsyv, et al.. (2020). Forty Postmortem Examinations in COVID-19 Patients. American Journal of Clinical Pathology. 154(6). 748–760. 67 indexed citations
15.
Capaccione, Kathleen M., Belinda D’Souza, Jay Leb, et al.. (2020). Pneumothorax rate in intubated patients with COVID-19. Acute and Critical Care. 36(1). 81–84. 15 indexed citations
16.
Margolies, Laurie R., et al.. (2020). Breast mass assessment on chest CT: Axial, sagittal, coronal or maximal intensity projection?. Clinical Imaging. 63. 60–64. 2 indexed citations
17.
Henschke, Claudia I., et al.. (2016). The importance of the regimen of screening in maximizing the benefit and minimizing the harms. Annals of Translational Medicine. 4(8). 153–153. 7 indexed citations
18.
Salvatore, Mary, et al.. (2015). Pulse Steroids for Refractory Antisynthetase Syndrome: A Booster Therapy?. CHEST Journal. 148(4). 408A–408A. 1 indexed citations
19.
Salvatore, Mary, Laurie R. Margolies, Minal Kale, et al.. (2013). Breast Density: Comparison of Chest CT with Mammography. Radiology. 270(1). 67–73. 26 indexed citations
20.
Panico, Salvatore, Egidio Celentano, Rocco Galasso, et al.. (1992). Progetto ATENA, A study on the etiology of major chronic diseases in women: Design, rationale and objectives. European Journal of Epidemiology. 8(4). 601–608. 51 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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