D. Rudym

1.2k total citations · 1 hit paper
18 papers, 930 citations indexed

About

D. Rudym is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, D. Rudym has authored 18 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in D. Rudym's work include Transplantation: Methods and Outcomes (11 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). D. Rudym is often cited by papers focused on Transplantation: Methods and Outcomes (11 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). D. Rudym collaborates with scholars based in United States, France and Singapore. D. Rudym's co-authors include David L. Kaplan, Yongzhong Wang, Hyun S. Kim, Carl A. Kirker‐Head, Hyeon-Joo Kim, Ronald D. Perrone, Dana C. Miskulin, Priya Chandra, Vandana Menon and Mark J. Sarnak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

D. Rudym

17 papers receiving 919 citations

Hit Papers

In vivo degradation of three-dimensional silk fibroin sca... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Rudym United States 7 596 306 208 150 131 18 930
Marcus Alexandre Finzi Corat Brazil 17 161 0.3× 300 1.0× 209 1.0× 132 0.9× 53 0.4× 32 960
Liam Chung United States 14 275 0.5× 332 1.1× 454 2.2× 421 2.8× 35 0.3× 18 1.4k
Christopher R. Rathbone United States 23 395 0.7× 490 1.6× 973 4.7× 1.0k 6.8× 67 0.5× 54 2.0k
Rahime M. Nohutçu Türkiye 20 151 0.3× 234 0.8× 325 1.6× 131 0.9× 38 0.3× 39 1.0k
Alessandra L. Moore United States 12 190 0.3× 130 0.4× 267 1.3× 258 1.7× 31 0.2× 28 1.2k
Hongrui Liu China 17 104 0.2× 219 0.7× 389 1.9× 103 0.7× 38 0.3× 55 1.0k
S. Elizabeth James United Kingdom 18 387 0.6× 227 0.7× 363 1.7× 266 1.8× 126 1.0× 27 1.5k
Hongfeng Guo China 15 263 0.4× 347 1.1× 344 1.7× 225 1.5× 28 0.2× 29 1.2k
Benjamin L. Beckstead United States 10 252 0.4× 224 0.7× 406 2.0× 304 2.0× 24 0.2× 11 898

Countries citing papers authored by D. Rudym

Since Specialization
Citations

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

Fields of papers citing papers by D. Rudym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rudym

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

All Works

18 of 18 papers shown
1.
Chang, Stephanie H., Travis C. Geraci, Greta L. Piper, et al.. (2024). Outcomes of lung and heart-lung transplants utilizing donor after circulatory death with thoracoabdominal normothermic regional perfusion. SHILAP Revista de lepidopterología. 4. 100058–100058. 6 indexed citations
2.
3.
Rudym, D., Tài Pham, Craig R. Rackley, et al.. (2023). Mortality in Patients with Obesity and Acute Respiratory Distress Syndrome Receiving Extracorporeal Membrane Oxygenation: The Multicenter ECMObesity Study. American Journal of Respiratory and Critical Care Medicine. 208(6). 685–694. 18 indexed citations
4.
Rudym, D., Jake G. Natalini, & Anil J. Trindade. (2023). Listing Dilemmas. Clinics in Chest Medicine. 44(1). 35–46. 4 indexed citations
5.
Rudym, D., et al.. (2022). Upper gastrointestinal bleeding in a lung transplant recipient. American Journal of Transplantation. 22(4). 1272–1274. 1 indexed citations
6.
Lewis, Tyler, D. Rudym, Bonnie E. Lonze, et al.. (2022). One‐year immunologic outcomes of lung transplantation utilizing hepatitis C‐viremic donors. Clinical Transplantation. 36(8). e14749–e14749. 5 indexed citations
7.
Rudym, D., et al.. (2021). Hemophagocytic Lymphohistiocytosis in a Lung Transplant Recipient. The Journal of Heart and Lung Transplantation. 40(4). S510–S510. 1 indexed citations
8.
Lewis, Tyler, Anthony S. Fargnoli, D. Rudym, et al.. (2021). Multimodal opioid‐sparing pain management after lung transplantation and the impact of liposomal bupivacaine intercostal nerve block. Clinical Transplantation. 36(1). e14512–e14512. 9 indexed citations
9.
Flaifel, Abdallah, Jane P. Ko, Stephanie H. Chang, et al.. (2021). Pulmonary Pathology of End-Stage COVID-19 Disease in Explanted Lungs and Outcomes After Lung Transplantation. American Journal of Clinical Pathology. 157(6). 908–926. 10 indexed citations
10.
Chang, Stephanie H., Luis F. Angel, Deane E. Smith, et al.. (2020). A Simple Prioritization Change to Lung Transplant Allocation May Result in Improved Outcomes. The Annals of Thoracic Surgery. 111(2). 427–435. 3 indexed citations
11.
Lewis, Tyler, et al.. (2020). Enhanced Recovery and Opioid-Sparing Pain Management Following Lung Transplantation. The Journal of Heart and Lung Transplantation. 39(4). S95–S95. 1 indexed citations
12.
Rudym, D., Luke Benvenuto, Joseph Costa, et al.. (2020). What Awaits on the Other Side: Post-Lung Transplant Morbidity and Mortality After Pre-Transplant Hospitalization. Annals of Transplantation. 25. e922641–e922641. 5 indexed citations
13.
Rudym, D., et al.. (2020). Telehealth and Home Monitoring in Lung Transplant. The Journal of Heart and Lung Transplantation. 39(4). S383–S383. 2 indexed citations
14.
Lewis, Tyler, et al.. (2020). Efficacy and Tolerability of Isavuconazole versus Posaconazole for Fungal Prophylaxis after Lung Transplantation. The Journal of Heart and Lung Transplantation. 39(4). S203–S204. 2 indexed citations
15.
Heffernan, Kevin S., Jeffrey T. Kuvin, Mark J. Sarnak, et al.. (2011). Peripheral augmentation index and vascular inflammation in autosomal dominant polycystic kidney disease. Nephrology Dialysis Transplantation. 26(8). 2515–2521. 23 indexed citations
16.
Subramanian, Balajikarthick, et al.. (2010). Tissue-Engineered Three-Dimensional In Vitro Models for Normal and Diseased Kidney. Tissue Engineering Part A. 16(9). 2821–2831. 75 indexed citations
17.
Menon, Vandana, D. Rudym, Priya Chandra, et al.. (2010). Inflammation, Oxidative Stress, and Insulin Resistance in Polycystic Kidney Disease. Clinical Journal of the American Society of Nephrology. 6(1). 7–13. 121 indexed citations
18.
Wang, Yongzhong, D. Rudym, Hyeon-Joo Kim, et al.. (2008). In vivo degradation of three-dimensional silk fibroin scaffolds. Biomaterials. 29(24-25). 3415–3428. 644 indexed citations breakdown →

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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