David Hwang
About
David Hwang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology.
According to data from OpenAlex, David Hwang has authored 151 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Pulmonary and Respiratory Medicine, 51 papers in Surgery and 36 papers in Molecular Biology. Recurrent topics in David Hwang's work include Transplantation: Methods and Outcomes (37 papers), Lung Cancer Treatments and Mutations (24 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (19 papers). David Hwang is often cited by papers focused on Transplantation: Methods and Outcomes (37 papers), Lung Cancer Treatments and Mutations (24 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (19 papers). David Hwang collaborates with scholars based in Canada, United States and Japan. David Hwang's co-authors include David S. Guttman, Mehdi Layeghifard, Shaf Keshavjee, Thomas K. Waddell, Mingyao Liu, Masaaki Sato, L.G. Singer, D. Elizabeth Tullis, Shawn T. Clark and Yvonne Yau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
In The Last Decade
David Hwang
146 papers receiving 6.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| David Hwang Canada | 43 | 2.1k | 1.8k | 1.7k | 791 | 718 | 151 | 6.4k | ||
| Erik Verbeken Belgium | 41 | 2.4k 1.2× | 1.5k 0.8× | 1.6k 0.9× | 641 0.8× | 1.0k 1.4× | 157 | 7.3k | ||
| Keith C. Meyer United States | 46 | 4.8k 2.3× | 1.6k 0.9× | 1.8k 1.1× | 410 0.5× | 409 0.6× | 142 | 8.6k | ||
| Takashi Kondo Japan | 37 | 2.2k 1.1× | 884 0.5× | 994 0.6× | 233 0.3× | 827 1.2× | 277 | 5.3k | ||
| Chris Ward United Kingdom | 59 | 5.8k 2.8× | 2.1k 1.2× | 1.9k 1.1× | 454 0.6× | 948 1.3× | 337 | 11.4k | ||
| Jun Li China | 50 | 2.1k 1.0× | 4.0k 2.2× | 1.9k 1.1× | 302 0.4× | 2.4k 3.3× | 465 | 10.7k | ||
| Eric Verbeken Belgium | 48 | 3.6k 1.7× | 1.9k 1.0× | 729 0.4× | 413 0.5× | 810 1.1× | 236 | 8.5k | ||
| Gianandrea Pasquinelli Italy | 40 | 1.1k 0.5× | 2.2k 1.2× | 1.8k 1.1× | 366 0.5× | 623 0.9× | 283 | 7.0k | ||
| Hideki Ohdan Japan | 45 | 1.4k 0.7× | 4.0k 2.2× | 1.9k 1.1× | 312 0.4× | 2.1k 2.9× | 705 | 9.8k | ||
| Marialuisa Valente Italy | 39 | 1.1k 0.6× | 2.0k 1.1× | 1.3k 0.8× | 309 0.4× | 446 0.6× | 254 | 7.1k | ||
| Michael Nerlich Germany | 67 | 818 0.4× | 6.4k 3.5× | 2.9k 1.7× | 1.7k 2.1× | 923 1.3× | 572 | 17.1k |
Countries citing papers authored by David Hwang
Since
Specialization
Citations
This map shows the geographic impact of David Hwang'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 Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hwang more than expected).
Fields of papers citing papers by David Hwang
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by David Hwang. 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 Hwang. The network helps show where David Hwang may publish in the future.
Co-authorship network of co-authors of David Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of David Hwang. A scholar is included among the top collaborators of David Hwang 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 Hwang. David Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Miyamoto, Ei, Christina Lam, Mingyao Liu, et al.. (2025). Permissive immunosuppression facilitates the expansion of ex vivo administered regulatory T cells in the lung allograft. Scientific Reports. 15(1). 22897–22897.
2.
Olkhov‐Mitsel, Ekaterina, Danny Chan, Kenneth J. Craddock, et al.. (2024). Analytical Validation and Performance Evaluation of Amplicon-Based Next-Generation Sequencing Assays for Detecting ERBB2 and Other Gene Amplifications in Solid Tumors. Cancers. 16(23). 3927–3927.
3.
Breadner, Daniel, David Hwang, Don Husereau, et al.. (2024). Implementation of Liquid Biopsy in Non-Small-Cell Lung Cancer: An Ontario Perspective. Current Oncology. 31(10). 6017–6031.
4.
Wang, Yingchun, et al.. (2024). Therapeutic Effects of a Novel Aptamer on Coronaviral Infection-Induced Lung Injury and Systemic Inflammatory Responses. Cells. 13(5). 422–422.
5.
Miyamoto, Ei, Jinguo Wang, Betty Joe, et al.. (2024). Local intragraft humoral immune responses in chronic lung allograft dysfunction. The Journal of Heart and Lung Transplantation. 44(1). 105–117.
6.
Craddock, Kenneth J., Weei‐Yuarn Huang, Alexander V. Louie, et al.. (2024). Referred molecular testing as a barrier to optimal treatment decision making in metastatic non‐small cell lung cancer: Experience at a tertiary academic institution in Canada. Cancer Medicine. 13(3). e6886–e6886.
7.
Cooper, Wendy A., Fleur Webster, Kelly J. Butnor, et al.. (2024). Data set for the reporting of lung cancer: recommendations from the International Collaboration on Cancer Reporting (ICCR ). Histopathology. 86(5). 665–680.
8.
Wong, Betty, Zhenyu Li, Michael J. Raphael, et al.. (2023). Developing DPYD Genotyping Method for Personalized Fluoropyrimidines Therapy. The Journal of Applied Laboratory Medicine. 9(2). 295–304.
9.
Ghaffari, Siavash, Raffi Karshafian, Howard Leong‐Poi, et al.. (2023). Ultrasound-guided transfection of claudin-5 improves lung endothelial barrier function in lung injury without impairing innate immunity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 325(2). L135–L142.
10.
Watanabe, Tatsuaki, S. Juvet, Jan Havlín, et al.. (2023). Donor IL-17 receptor A regulates LPS-potentiated acute and chronic murine lung allograft rejection. JCI Insight. 8(21).
11.
Calabrese, Fiorella, Anja C. Roden, Elizabeth N. Pavlisko, et al.. (2022). Lung allograft standardized histological analysis (LASHA) template: A research consensus proposal. The Journal of Heart and Lung Transplantation. 41(10). 1487–1500.
12.
Clark, Shawn T., Pauline W. Wang, David Hwang, et al.. (2020). Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways. mSystems. 5(6).
13.
Darley, D.R., Jin Ma, Ella Huszti, et al.. (2020). Eosinophils in transbronchial biopsies: a predictor of chronic lung allograft dysfunction and reduced survival after lung transplantation — a retrospective single‐center cohort study. Transplant International. 34(1). 62–75.
14.
Oikonomou, Anastasia, Yuchen Zhang, David Hwang, et al.. (2019). Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules. Scientific Reports. 9(1). 6009–6009.
15.
Nakajima, Daisuke, Yui Watanabe, Akihiro Ohsumi, et al.. (2019). Mesenchymal stromal cell therapy during ex vivo lung perfusion ameliorates ischemia-reperfusion injury in lung transplantation. The Journal of Heart and Lung Transplantation. 38(11). 1214–1223.
16.
Watanabe, Tatsuaki, Tereza Martinu, Andrzej Chruscinski, et al.. (2019). A B cell–dependent pathway drives chronic lung allograft rejection after ischemia–reperfusion injury in mice. American Journal of Transplantation. 19(12). 3377–3389.
17.
Clark, Shawn T., Yu Zhang, Pauline W. Wang, et al.. (2019). Penicillin-binding protein 3 is a common adaptive target among Pseudomonas aeruginosa isolates from adult cystic fibrosis patients treated with β-lactams. International Journal of Antimicrobial Agents. 53(5). 620–628.
18.
Caballero, Julio Diaz, Shawn T. Clark, Pauline W. Wang, et al.. (2018). A genome-wide association analysis reveals a potential role for recombination in the evolution of antimicrobial resistance in Burkholderia multivorans. PLoS Pathogens. 14(12). e1007453–e1007453.
19.
Sykes, Edward A., Qin Dai, Christopher D. Sarsons, et al.. (2016). Tailoring nanoparticle designs to target cancer based on tumor pathophysiology. Proceedings of the National Academy of Sciences. 113(9). E1142–51.
20.
Jin, Cheng, Hironobu Wada, Takashi Anayama, et al.. (2016). An Integrated Nanotechnology-Enabled Transbronchial Image-Guided Intervention Strategy for Peripheral Lung Cancer. Cancer Research. 76(19). 5870–5880.
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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