Sofia Podlusky

536 total citations
8 papers, 395 citations indexed

About

Sofia Podlusky is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Sofia Podlusky has authored 8 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in Sofia Podlusky's work include Systemic Sclerosis and Related Diseases (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). Sofia Podlusky is often cited by papers focused on Systemic Sclerosis and Related Diseases (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). Sofia Podlusky collaborates with scholars based in United States, Spain and Slovenia. Sofia Podlusky's co-authors include Monique Hinchcliff, Mary Carns, John Varga, Rowland W. Chang, Krishna Thavarajah, Jennifer L. Beaumont, David Cella, Jungwha Lee, Sanjiv J. Shah and Zenshiro Tamaki and has published in prestigious journals such as PLoS ONE, CHEST Journal and Journal of Investigative Dermatology.

In The Last Decade

Sofia Podlusky

8 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofia Podlusky United States 7 242 159 85 74 56 8 395
Amber Young United States 11 259 1.1× 178 1.1× 91 1.1× 66 0.9× 34 0.6× 13 364
Anita Y. N. Lim Singapore 11 116 0.5× 96 0.6× 45 0.5× 29 0.4× 28 0.5× 30 326
Swee Cheng Ng Singapore 7 185 0.8× 36 0.2× 38 0.4× 109 1.5× 19 0.3× 11 324
Romi Bloom United States 10 82 0.3× 49 0.3× 85 1.0× 61 0.8× 14 0.3× 16 291
Houssine Boufettal Morocco 9 93 0.4× 64 0.4× 37 0.4× 59 0.8× 29 0.5× 59 347
Alexandra Nagy Hungary 9 68 0.3× 60 0.4× 40 0.5× 23 0.3× 43 0.8× 27 296
Meena Kalluri Canada 15 71 0.3× 499 3.1× 220 2.6× 22 0.3× 62 1.1× 44 690
Susana Oliveira Portugal 7 50 0.2× 132 0.8× 39 0.5× 18 0.2× 17 0.3× 24 243
Michael W. Pill United States 9 285 1.2× 44 0.3× 42 0.5× 9 0.1× 24 0.4× 10 531
N. Samouh Morocco 9 89 0.4× 54 0.3× 33 0.4× 57 0.8× 21 0.4× 63 352

Countries citing papers authored by Sofia Podlusky

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Podlusky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Podlusky

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia Podlusky. A scholar is included among the top collaborators of Sofia Podlusky 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 Sofia Podlusky. Sofia Podlusky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Marangoni, Roberta Gonçalves, Benjamin D. Korman, Yannick Allanore, et al.. (2015). A candidate gene study reveals association between a variant of the Peroxisome Proliferator-Activated Receptor Gamma (PPAR-γ) gene and systemic sclerosis. Arthritis Research & Therapy. 17(1). 128–128. 24 indexed citations
2.
Lakota, Katja, Mary Carns, Sofia Podlusky, et al.. (2015). Serum Amyloid A Is a Marker for Pulmonary Involvement in Systemic Sclerosis. PLoS ONE. 10(1). e0110820–e0110820. 35 indexed citations
3.
Hinchcliff, Monique, Jennifer L. Beaumont, Mary Carns, et al.. (2014). Longitudinal Evaluation of PROMIS-29 and FACIT-Dyspnea Short Forms in Systemic Sclerosis. The Journal of Rheumatology. 42(1). 64–72. 44 indexed citations
4.
Hinchcliff, Monique, Tammara Wood, J. Matthew Mahoney, et al.. (2013). Molecular Signatures in Skin Associated with Clinical Improvement during Mycophenolate Treatment in Systemic Sclerosis. Journal of Investigative Dermatology. 133(8). 1979–1989. 130 indexed citations
5.
Peljto, Anna L., Mark P. Steele, Tasha E. Fingerlin, et al.. (2012). The Pulmonary Fibrosis-Associated MUC5B Promoter Polymorphism Does Not Influence the Development of Interstitial Pneumonia in Systemic Sclerosis. CHEST Journal. 142(6). 1584–1588. 54 indexed citations
6.
Hinchcliff, Monique, E. E. Just, Sofia Podlusky, et al.. (2012). Text data extraction for a prospective, research-focused data mart: implementation and validation. BMC Medical Informatics and Decision Making. 12(1). 106–106. 14 indexed citations
7.
Lee, Daniel, Brandon Benefield, Monique Hinchcliff, et al.. (2012). Measurement of extracellular volume fraction by cardiac magnetic resonance imaging detects diffuse myocardial fibrosis in systemic sclerosis. Journal of Cardiovascular Magnetic Resonance. 14(S1). 5 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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