Ryan Swenerton

2.8k total citations
15 papers, 555 citations indexed

About

Ryan Swenerton is a scholar working on Transplantation, Cancer Research and Surgery. According to data from OpenAlex, Ryan Swenerton has authored 15 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Transplantation, 6 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Ryan Swenerton's work include Renal Transplantation Outcomes and Treatments (6 papers), Cancer Genomics and Diagnostics (6 papers) and Transplantation: Methods and Outcomes (4 papers). Ryan Swenerton is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Cancer Genomics and Diagnostics (6 papers) and Transplantation: Methods and Outcomes (4 papers). Ryan Swenerton collaborates with scholars based in United States, Netherlands and British Virgin Islands. Ryan Swenerton's co-authors include James H. McKerrow, Ruth M. Ruprecht, Regina Hofmann‐Lehmann, Harold M. McClure, Patricia S. Doyle, Philip J. Rosenthal, Hans Lutz, Vladimír Liška, Christian M. Leutenegger and Ben L. Kelly and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Ryan Swenerton

15 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Swenerton United States 10 174 147 143 113 107 15 555
Alfredo Sahagún-Ruiz Mexico 11 105 0.6× 30 0.2× 35 0.2× 33 0.3× 34 0.3× 18 418
Benjamin Trinité Spain 18 101 0.6× 77 0.5× 243 1.7× 16 0.1× 25 0.2× 36 892
Astrid Meerbach Germany 16 313 1.8× 49 0.3× 66 0.5× 27 0.2× 29 0.3× 36 813
Marcela Montes de Australia 16 170 1.0× 452 3.1× 29 0.2× 12 0.1× 16 0.1× 24 890
R C Burton United States 13 227 1.3× 65 0.4× 61 0.4× 8 0.1× 36 0.3× 27 821
Uamporn Siripanyaphinyo Thailand 15 77 0.4× 144 1.0× 64 0.4× 10 0.1× 16 0.1× 20 507
Karel A. van Dort Netherlands 15 262 1.5× 30 0.2× 207 1.4× 7 0.1× 13 0.1× 31 719
Maria Angela Biasolo Italy 16 330 1.9× 35 0.2× 79 0.6× 26 0.2× 25 0.2× 25 690
E. A. Copelan United States 10 86 0.5× 27 0.2× 43 0.3× 8 0.1× 24 0.2× 15 564
P Gladstone United States 17 121 0.7× 59 0.4× 19 0.1× 11 0.1× 47 0.4× 30 1.0k

Countries citing papers authored by Ryan Swenerton

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Swenerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Swenerton

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

All Works

15 of 15 papers shown
1.
Kim, Paul, Michael Olymbios, Omar Wever‐Pinzon, et al.. (2022). A novel donor-derived cell-free DNA assay for the detection of acute rejection in heart transplantation. The Journal of Heart and Lung Transplantation. 41(7). 919–927. 38 indexed citations
2.
Kim, Paul, Michael Olymbios, Eric Adler, et al.. (2022). Absolute Quantification of Donor Derived Cell Free DNA in Heart Transplant Patients. The Journal of Heart and Lung Transplantation. 41(4). S116–S116. 1 indexed citations
3.
Halloran, Philip F., J. Reeve, Katelynn S. Madill-Thomsen, et al.. (2022). Combining Donor-derived Cell-free DNA Fraction and Quantity to Detect Kidney Transplant Rejection Using Molecular Diagnoses and Histology as Confirmation. Transplantation. 106(12). 2435–2442. 37 indexed citations
4.
Gauthier, Philippe, Alexey Aleshin, Svetlana Shchegrova, et al.. (2020). FACTORS INFLUENCING BACKGROUND CELL-FREE DNA LEVELS: IMPLICATIONS FOR DONOR DERIVED CELL-FREE DNA ASSESSMENT IN TRANSPLANT PATIENTS. Transplantation. 104(S3). S132–S132. 1 indexed citations
5.
Gauthier, Philippe, et al.. (2020). Case Series: Systemic Infection Alters Background Cell-Free DNA and Influences Results of Donor-Derived Cell-Free DNA Transplant Rejection Assays. Journal of the American Society of Nephrology. 31(10S). 728–728. 1 indexed citations
6.
Altuğ, Yücel, Nathan L. Liang, Rosalyn Ram, et al.. (2019). Analytical Validation of a Single-nucleotide Polymorphism-based Donor-derived Cell-free DNA Assay for Detecting Rejection in Kidney Transplant Patients. Transplantation. 103(12). 2657–2665. 38 indexed citations
7.
Sethi, Himanshu, Raheleh Salari, Samantha Navarro, et al.. (2018). Abstract 4542: Analytical validation of the SignateraTM RUO assay, a highly sensitive patient-specific multiplex PCR NGS-based noninvasive cancer recurrence detection and therapy monitoring assay. Cancer Research. 78(13_Supplement). 4542–4542. 13 indexed citations
8.
Reinert, Thomas, Tenna Vesterman Henriksen, Mads H. Rasmussen, et al.. (2018). Serial circulating tumor DNA analysis for detection of residual disease, assessment of adjuvant therapy efficacy and for early recurrence detection in colorectal cancer. Annals of Oncology. 29. viii151–viii151. 4 indexed citations
9.
Kırkızlar, Eser, Bernhard Zimmermann, T Constantin, et al.. (2015). Detection of Clonal and Subclonal Copy-Number Variants in Cell-Free DNA from Patients with Breast Cancer Using a Massively Multiplexed PCR Methodology. Translational Oncology. 8(5). 407–416. 45 indexed citations
10.
Swenerton, Ryan, Giselle M. Knudsen, Mohammed Sajid, Ben L. Kelly, & James H. McKerrow. (2010). Leishmania Subtilisin Is a Maturase for the Trypanothione Reductase System and Contributes to Disease Pathology. Journal of Biological Chemistry. 285(41). 31120–31129. 30 indexed citations
11.
Swenerton, Ryan, Shuyi Zhang, Mohammed Sajid, et al.. (2010). The Oligopeptidase B of Leishmania Regulates Parasite Enolase and Immune Evasion. Journal of Biological Chemistry. 286(1). 429–440. 74 indexed citations
12.
McKerrow, James H., Philip J. Rosenthal, Ryan Swenerton, & Patricia S. Doyle. (2008). Development of protease inhibitors for protozoan infections. Current Opinion in Infectious Diseases. 21(6). 668–672. 90 indexed citations
13.
Davydov, Ilia V., John H. Kenten, Yassamin J. Safiran, et al.. (2005). In Vitro Screening for Substrates of the N‐End Rule–Dependent Ubiquitylation. Methods in enzymology on CD-ROM/Methods in enzymology. 399. 415–432. 3 indexed citations
14.
Hofmann‐Lehmann, Regina, Ryan Swenerton, Peilin Li, et al.. (2002). Quantitation of Simian Cytokine and β -Chemokine mRNAs, Using Real-Time Reverse Transcriptase-Polymerase Chain Reaction: Variations in Expression during Chronic Primate Lentivirus Infection. AIDS Research and Human Retroviruses. 18(9). 627–639. 32 indexed citations
15.
Hofmann‐Lehmann, Regina, Ryan Swenerton, Vladimír Liška, et al.. (2000). Sensitive and Robust One-Tube Real-Time Reverse Transcriptase-Polymerase Chain Reaction to Quantify SIV RNA Load: Comparison of One- versus Two-Enzyme Systems. AIDS Research and Human Retroviruses. 16(13). 1247–1257. 148 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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