Jaimie L. Barth

846 total citations
9 papers, 120 citations indexed

About

Jaimie L. Barth is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jaimie L. Barth has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jaimie L. Barth's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jaimie L. Barth is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jaimie L. Barth collaborates with scholars based in United States and Germany. Jaimie L. Barth's co-authors include Mari Mino–Kenudson, Daniel S. Hitchcock, Lin Lin, Courtney Dennis, Alireza Lorzadeh, Lucas Dailey, Clary B. Clish, Megan T. Hoffman, Miranda Machacek and Stephanie K. Dougan and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Modern Pathology.

In The Last Decade

Jaimie L. Barth

8 papers receiving 117 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaimie L. Barth United States 5 61 45 42 24 16 9 120
Rongli Wei China 4 78 1.3× 47 1.0× 65 1.5× 18 0.8× 7 0.4× 7 140
Adam Rosenzweig United States 4 116 1.9× 20 0.4× 56 1.3× 11 0.5× 11 0.7× 6 149
Dongning Rao China 3 57 0.9× 26 0.6× 43 1.0× 21 0.9× 14 0.9× 5 119
Emily Megill United States 6 149 2.4× 27 0.6× 60 1.4× 11 0.5× 13 0.8× 10 220
Hongru Tao China 9 114 1.9× 31 0.7× 21 0.5× 15 0.6× 4 0.3× 12 162
Ajay Nair India 5 75 1.2× 29 0.6× 29 0.7× 13 0.5× 3 0.2× 7 135
Tianming Cui China 6 35 0.6× 39 0.9× 33 0.8× 11 0.5× 8 0.5× 8 104
Rana Ezzeddini Iran 6 57 0.9× 18 0.4× 45 1.1× 10 0.4× 5 0.3× 9 120

Countries citing papers authored by Jaimie L. Barth

Since Specialization
Citations

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

Fields of papers citing papers by Jaimie L. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaimie L. Barth. 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 Jaimie L. Barth. The network helps show where Jaimie L. Barth may publish in the future.

Co-authorship network of co-authors of Jaimie L. Barth

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

All Works

9 of 9 papers shown
1.
Lee, Min-Sik, Courtney Dennis, Lucas Dailey, et al.. (2023). Ornithine aminotransferase supports polyamine synthesis in pancreatic cancer. Nature. 616(7956). 339–347. 78 indexed citations
2.
Denize, Thomas, Catherine B. Meador, Jaimie L. Barth, et al.. (2023). Concordance of ASCL1, NEUROD1 and POU2F3 transcription factor‐based subtype assignment in paired tumour samples from small cell lung carcinoma. Histopathology. 83(6). 912–924. 6 indexed citations
3.
Blum, Steven M., Daniel A. Zlotoff, Neal P. Smith, et al.. (2022). Single-cell profiling of human heart and blood in immune checkpoint inhibitor-associated myocarditis.. Journal of Clinical Oncology. 40(16_suppl). 2507–2507.
4.
Kunitoki, Keiko, M. Lisa Zhang, Marina Kem, et al.. (2021). Lymphocyte-activation gene 3 in non-small-cell lung carcinomas: correlations with clinicopathologic features and prognostic significance. Modern Pathology. 35(5). 615–624. 13 indexed citations
5.
Mooradian, Meghan J., Florian J. Fintelmann, Howard Kaufman, et al.. (2021). The use of cryoablation to overcome resistance to PD-1 blockade in unresectable melanoma.. Journal of Clinical Oncology. 39(15_suppl). 9538–9538. 2 indexed citations
6.
Ajayi, Temitayo, Michael W. Konstan, Frank J. Accurso, et al.. (2013). 63 The use of high resolution computerized tomography of the chest in evaluating the effect of ataluren in nonsense mutation cystic fibrosis (nmCF) lung disease. Journal of Cystic Fibrosis. 12. S64–S64. 4 indexed citations
7.
Schnabel, A., Jaimie L. Barth, Friederike Schubert, & W. L. Gross. (1996). Pulmonary Sarcoidosis Coexisting with Systemic Lupus Erythematosus. Scandinavian Journal of Rheumatology. 25(2). 109–111. 11 indexed citations
8.
Petermann, W, et al.. (1990). [Interstitial lung fibrosis in rheumatoid arthritis--comparison of lung function and bronchoalveolar lavage].. PubMed. 44 Suppl 1. 540–1. 1 indexed citations
9.
Entzian, P., et al.. (1990). [Lymphangiosis carcinomatosa of the lung complicated by interstitial inflammation as in pulmonary sarcoidosis].. PubMed. 85(3). 166–8. 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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