David Y. Johnson

909 total citations
31 papers, 577 citations indexed

About

David Y. Johnson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, David Y. Johnson has authored 31 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in David Y. Johnson's work include Prion Diseases and Protein Misfolding (8 papers), Lung Cancer Treatments and Mutations (4 papers) and Cutaneous Melanoma Detection and Management (3 papers). David Y. Johnson is often cited by papers focused on Prion Diseases and Protein Misfolding (8 papers), Lung Cancer Treatments and Mutations (4 papers) and Cutaneous Melanoma Detection and Management (3 papers). David Y. Johnson collaborates with scholars based in United States, Italy and Canada. David Y. Johnson's co-authors include Michael D. Geschwind, Bruce L. Miller, Paolo Vitali, Roland G. Henry, Elio Maccagnano, Eduardo Caverzasi, Stephen J. DeArmond, Paul A. Garcia, Aissa Haman and K. H. Wong and has published in prestigious journals such as Neurology, American Journal of Physiology-Heart and Circulatory Physiology and Plastic & Reconstructive Surgery.

In The Last Decade

David Y. Johnson

28 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Y. Johnson United States 10 423 176 163 69 65 31 577
Stanley D. Johnsen United States 13 510 1.2× 87 0.5× 71 0.4× 45 0.7× 9 0.1× 29 895
James Galea United Kingdom 8 150 0.4× 133 0.8× 161 1.0× 17 0.2× 30 0.5× 9 449
Jiali Zhao China 13 79 0.2× 52 0.3× 51 0.3× 58 0.8× 55 0.8× 30 464
Valentina Albertini Italy 14 186 0.4× 152 0.9× 85 0.5× 78 1.1× 11 0.2× 22 528
Tetsuya Matsuura Japan 15 218 0.5× 153 0.9× 30 0.2× 21 0.3× 85 1.3× 37 595
Lisa M. Adams United States 8 166 0.4× 43 0.2× 55 0.3× 55 0.8× 40 0.6× 9 382
G. Gobbi Italy 14 141 0.3× 115 0.7× 27 0.2× 403 5.8× 55 0.8× 41 722
Muneshige Tobita Japan 14 139 0.3× 223 1.3× 48 0.3× 34 0.5× 18 0.3× 30 619
Ha‐Yeun Chung Germany 12 154 0.4× 135 0.8× 105 0.6× 8 0.1× 17 0.3× 25 488
Jiandong Wei United States 8 117 0.3× 86 0.5× 117 0.7× 29 0.4× 12 0.2× 8 529

Countries citing papers authored by David Y. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by David Y. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Y. Johnson. 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 David Y. Johnson. The network helps show where David Y. Johnson may publish in the future.

Co-authorship network of co-authors of David Y. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of David Y. Johnson. A scholar is included among the top collaborators of David Y. Johnson 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 David Y. Johnson. David Y. Johnson 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.
Dunn, Andrew K., et al.. (2025). MyoQuant: An optimized image analysis algorithm for quantitative analysis of skeletal muscle fibers. MethodsX. 15. 103645–103645.
2.
Johnson, David Y., et al.. (2024). Biosponge-Encased Placental Stem Cells for Volumetric Muscle Loss Repair. Advances in Wound Care. 14(2). 83–100. 1 indexed citations
3.
Johnson, David Y., et al.. (2024). Heart Failure after Transjugular Intrahepatic Portosystemic Shunt Creation. Journal of Vascular and Interventional Radiology. 35(7). 1090–1091.
4.
Mammarappallil, Joseph, David Y. Johnson, Hamid Chalian, et al.. (2020). Ferumoxytol-enhanced MR Venography of the Central Veins of the Thorax for the Evaluation of Stenosis and Occlusion in Patients with Renal Impairment. Radiology Cardiothoracic Imaging. 2(6). e200339–e200339. 4 indexed citations
5.
Johnson, David Y., Alan A. Sag, J. Martín, et al.. (2020). Percutaneous gastrojejunostomy tubes: Identification of predictors of retrograde jejunal limb migration into the stomach. Clinical Imaging. 70. 93–96. 1 indexed citations
6.
Johnson, David Y., James Ronald, Waleska M. Pabon‐Ramos, et al.. (2020). Percutaneous Gastrojejunostomy Tube Insertion in Patients with Surgical Gastrojejunal Anastomoses: Analysis of Success Rates and Durability. Journal of Vascular and Interventional Radiology. 32(2). 277–281. 1 indexed citations
7.
Grimm, Lars J., David Y. Johnson, Karen S. Johnson, et al.. (2016). Suspicious breast calcifications undergoing stereotactic biopsy in women ages 70 and over: Breast cancer incidence by BI-RADS descriptors. European Radiology. 27(6). 2275–2281. 11 indexed citations
8.
Johnson, David Y., et al.. (2016). A sign on CT that predicts a hazardous ureteral anomaly. International Journal of Surgery Case Reports. 22. 51–54. 2 indexed citations
9.
Johnson, David Y., Maya L. Henry, Michael D. Greicius, et al.. (2013). Sporadic Jakob-Creutzfeldt Disease Presenting as Primary Progressive Aphasia. JAMA Neurology. 70(2). 254–254. 17 indexed citations
10.
Geschwind, Michael D., Aissa Haman, G. Devereux, et al.. (2013). Quinacrine treatment trial for sporadic Creutzfeldt-Jakob disease. Neurology. 81(23). 2015–2023. 102 indexed citations
11.
Tartaglia, Maria Carmela, David Y. Johnson, Julie Thai, et al.. (2012). Clinical Overlap between Jakob-Creutzfeldt Disease and Lewy Body Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 39(3). 304–310. 20 indexed citations
12.
Johnson, David Y., Maya L. Henry, Michael D. Greicius, et al.. (2012). Sporadic Jakob-Creutzfeldt Disease Presenting as Primary Progressive Aphasia. JAMA Neurology. 1–1. 1 indexed citations
13.
Paterson, Ross W., Elizabeth A. Nguyen, K. H. Wong, et al.. (2012). Differential Diagnosis of Jakob-Creutzfeldt Disease. JAMA Neurology. 1–1. 5 indexed citations
14.
Paterson, Ross W., Elizabeth A. Nguyen, K. H. Wong, et al.. (2012). Differential Diagnosis of Jakob-Creutzfeldt Disease. Archives of Neurology. 69(12). 1578–1578. 74 indexed citations
15.
Johnson, David Y., Frank E. Johnson, & Hendrick B. Barner. (2010). Abdominal Wall Necrosis After Harvest of Both Internal Thoracic and Inferior Epigastric Arteries. The Annals of Thoracic Surgery. 91(1). 38–41. 11 indexed citations
16.
Goldberger, Jeffrey J., Haris Subačius, Indranil Sengupta, et al.. (2007). A new method to determine the electrical transfer function of the human thorax. American Journal of Physiology-Heart and Circulatory Physiology. 293(6). H3440–H3447.
17.
Margenthaler, Julie A., Jeremy D. Meier, Katherine S. Virgo, et al.. (2003). Geographic variation in posttreatment surveillance intensity for patients with cutaneous melanoma. The American Journal of Surgery. 186(2). 194–200. 4 indexed citations
18.
19.
Virgo, Katherine S., et al.. (2000). Current Practice of Patient Follow-Up after Potentially Curative Resection of Cutaneous Melanoma. Plastic & Reconstructive Surgery. 106(3). 590–597. 9 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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