Sarah E. Gerard

1.2k total citations
46 papers, 490 citations indexed

About

Sarah E. Gerard is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Sarah E. Gerard has authored 46 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Sarah E. Gerard's work include Respiratory Support and Mechanisms (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Sarah E. Gerard is often cited by papers focused on Respiratory Support and Mechanisms (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Sarah E. Gerard collaborates with scholars based in United States, Italy and Brazil. Sarah E. Gerard's co-authors include Joseph M. Reinhardt, Gary E. Christensen, John E. Bayouth, Jacob Herrmann, David W. Kaczka, Eric A. Hoffman, Wei Shao, Ana Fernandez-Bustamante, Guido Musch and Lawrence Chan and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Sarah E. Gerard

43 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Gerard United States 11 301 203 65 63 42 46 490
Pietro Nardelli United States 14 414 1.4× 169 0.8× 71 1.1× 30 0.5× 40 1.0× 56 666
Mathilde Marie Winkler Wille Denmark 16 735 2.4× 416 2.0× 59 0.9× 16 0.3× 58 1.4× 32 929
Farbod N. Rahaghi United States 16 663 2.2× 234 1.2× 63 1.0× 70 1.1× 76 1.8× 56 960
Hidenori Shikata United States 6 220 0.7× 185 0.9× 78 1.2× 48 0.8× 17 0.4× 9 424
Florian Prayer Austria 11 240 0.8× 413 2.0× 127 2.0× 28 0.4× 100 2.4× 36 646
Johannes Hofmanninger Austria 11 229 0.8× 385 1.9× 96 1.5× 26 0.4× 129 3.1× 14 564
Deokiee Chon United States 8 253 0.8× 232 1.1× 100 1.5× 77 1.2× 10 0.2× 9 498
Stefan Kraß Germany 10 309 1.0× 223 1.1× 50 0.8× 8 0.1× 28 0.7× 20 457
Sushravya Raghunath United States 12 605 2.0× 283 1.4× 89 1.4× 18 0.3× 50 1.2× 27 822
Renuka Uppaluri United States 9 673 2.2× 270 1.3× 118 1.8× 26 0.4× 79 1.9× 15 918

Countries citing papers authored by Sarah E. Gerard

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Gerard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Gerard. 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 Sarah E. Gerard. The network helps show where Sarah E. Gerard may publish in the future.

Co-authorship network of co-authors of Sarah E. Gerard

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Gerard. A scholar is included among the top collaborators of Sarah E. Gerard 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 Sarah E. Gerard. Sarah E. Gerard 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.
Xin, Yi, Glasiele Alcala, Tilo Winkler, et al.. (2025). Biomechanical implications of mass loading in a swine model of acute hypoxemic respiratory failure. Journal of Applied Physiology. 139(3). 849–862. 1 indexed citations
2.
Lolacono, Nancy J., et al.. (2025). Associations of CT Lung Density and Perfusion With E-cigarette Use in Young Adults: The VapeScan Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7121–A7121.
3.
4.
Lagier, David, David W. Kaczka, Min Zhu, et al.. (2024). Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model. Science Translational Medicine. 16(760). eado1097–eado1097. 4 indexed citations
5.
Spina, Stefano, Yi Xin, Roberta Ribeiro De Santis Santiago, et al.. (2024). The pleural gradient does not reflect the superimposed pressure in patients with class III obesity. Critical Care. 28(1). 306–306. 6 indexed citations
6.
Yousufuddin, Mohammed, Ebrahim Barkoudah, Zhen Wang, et al.. (2024). Systolic blood pressure, a predictor of mortality and life expectancy following heart failure hospitalization, 2010–2023. European Journal of Internal Medicine. 131. 71–82. 2 indexed citations
7.
Gerard, Sarah E., et al.. (2023). Predicting pulmonary ventilation damage after radiation therapy for nonsmall cell lung cancer using a ResNet generative adversarial network. Medical Physics. 50(5). 3199–3209. 7 indexed citations
8.
Gerard, Sarah E., et al.. (2023). Attention U-net for automated pulmonary fissure integrity analysis in lung computed tomography images. Scientific Reports. 13(1). 14135–14135. 2 indexed citations
9.
Silva, Pedro Leme, Fernanda Ferreira Cruz, Jacob Herrmann, et al.. (2023). A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial. Frontiers in Medicine. 10. 1137784–1137784. 1 indexed citations
10.
Hoffman, Eric A., Norrina B. Allen, Alain G. Bertoni, et al.. (2022). Pulmonary Blood Volume Among Older Adults in the Community: The MESA Lung Study. Circulation Cardiovascular Imaging. 15(8). e014380–e014380. 9 indexed citations
11.
Reinhardt, Joseph M., et al.. (2022). CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion. Frontiers in Physiology. 13. 1008526–1008526. 5 indexed citations
12.
Xin, Yi, Sarah E. Gerard, Jacob Herrmann, et al.. (2022). Unsupervised segmentation and quantification of COVID-19 lesions on computed Tomography scans using CycleGAN. Methods. 205. 200–209. 1 indexed citations
13.
Ball, Lorenzo, Chiara Robba, Jacob Herrmann, et al.. (2022). Early versus late intubation in COVID-19 patients failing helmet CPAP: A quantitative computed tomography study. Respiratory Physiology & Neurobiology. 301. 103889–103889. 9 indexed citations
14.
Herrmann, Jacob, Sarah E. Gerard, Joseph M. Reinhardt, Eric A. Hoffman, & David W. Kaczka. (2021). Regional Gas Transport During Conventional and Oscillatory Ventilation Assessed by Xenon-Enhanced Computed Tomography. Annals of Biomedical Engineering. 49(9). 2377–2388. 9 indexed citations
15.
Gerard, Sarah E., et al.. (2020). Automatic Quantification of Pulmonary Fissure Integrity: A Repeatability Analysis. 83. 581–585. 3 indexed citations
16.
Shao, Wei, et al.. (2019). N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation. IEEE Transactions on Medical Imaging. 39(6). 2025–2034. 17 indexed citations
17.
Gerard, Sarah E., Jacob Herrmann, David W. Kaczka, et al.. (2019). Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species. Medical Image Analysis. 60. 101592–101592. 56 indexed citations
18.
Gerard, Sarah E., et al.. (2018). FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images. IEEE Transactions on Medical Imaging. 38(1). 156–166. 85 indexed citations
19.
Bodduluri, Sandeep, Sarah E. Gerard, Joseph M. Reinhardt, et al.. (2018). Airway fractal dimension predicts respiratory morbidity and mortality in COPD. Journal of Clinical Investigation. 128(12). 5374–5382. 41 indexed citations
20.
Nuotio-Antar, Alli M., Naravat Poungvarin, Ming Li, et al.. (2015). FABP4-Cre Mediated Expression of Constitutively Active ChREBP Protects Against Obesity, Fatty Liver, and Insulin Resistance. Endocrinology. 156(11). 4020–4032. 40 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

Breakdown of academic impact, for papers by Pietro Nardelli Breakdown of academic impact, for papers by Mathilde Marie Winkler Wille Breakdown of academic impact, for papers by Farbod N. Rahaghi Breakdown of academic impact, for papers by Hidenori Shikata Breakdown of academic impact, for papers by Florian Prayer Breakdown of academic impact, for papers by Johannes Hofmanninger Breakdown of academic impact, for papers by Deokiee Chon Breakdown of academic impact, for papers by Stefan Kraß Breakdown of academic impact, for papers by Sushravya Raghunath Breakdown of academic impact, for papers by Renuka Uppaluri
Rankless by CCL
2026