Calvin Strehl

1.4k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Calvin Strehl is a scholar working on Surgery, Epidemiology and Transplantation. According to data from OpenAlex, Calvin Strehl has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Epidemiology and 3 papers in Transplantation. Recurrent topics in Calvin Strehl's work include Transplantation: Methods and Outcomes (6 papers), Cancer Genomics and Diagnostics (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Calvin Strehl is often cited by papers focused on Transplantation: Methods and Outcomes (6 papers), Cancer Genomics and Diagnostics (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Calvin Strehl collaborates with scholars based in United States. Calvin Strehl's co-authors include Iwijn De Vlaminck, Helen Luikart, Stephen R. Quake, Hannah A. Valantine, Kiran K. Khush, Norma Neff, Jennifer Okamoto, Daniel Bernstein, Thomas M. Snyder and Garrett Cohen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS Medicine.

In The Last Decade

Calvin Strehl

7 papers receiving 995 citations

Hit Papers

Circulating Cell-Free DNA Enables Noninvasive Diagnosis o... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Calvin Strehl United States 5 409 361 287 225 197 7 1.0k
Yasuhiro Itsui Japan 20 77 0.2× 37 0.1× 41 0.1× 378 1.7× 734 3.7× 53 1.5k
Luiz F. Lisboa Canada 15 61 0.1× 60 0.2× 45 0.2× 107 0.5× 679 3.4× 27 930
Yuka Torii Japan 16 76 0.2× 10 0.0× 109 0.4× 221 1.0× 394 2.0× 67 896
Alberta Azzi Italy 16 34 0.1× 49 0.1× 17 0.1× 96 0.4× 238 1.2× 33 752
Maik Stein Germany 16 154 0.4× 196 0.5× 14 0.0× 167 0.7× 373 1.9× 27 1.0k
Yik Chun Wong Hong Kong 17 488 1.2× 33 0.1× 10 0.0× 161 0.7× 276 1.4× 42 1.1k
Desiree Hollemon United States 15 158 0.4× 32 0.1× 263 0.9× 328 1.5× 378 1.9× 31 1.9k
Laila Sara Arroyo Mühr Sweden 16 140 0.3× 13 0.0× 55 0.2× 234 1.0× 481 2.4× 47 702
Mike Smith United States 5 56 0.1× 19 0.1× 18 0.1× 670 3.0× 179 0.9× 6 1.1k
Juan Moyron‐Quiroz United States 10 110 0.3× 14 0.0× 22 0.1× 172 0.8× 460 2.3× 12 1.6k

Countries citing papers authored by Calvin Strehl

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Strehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calvin Strehl

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

All Works

7 of 7 papers shown
1.
Khush, Kiran K., John F. Beausang, R. Woodward, et al.. (2017). Donor-Derived Cell-Free DNA Associates with Rejection in Lung Transplantation Using Clinical-Grade Targeted Next-Generation Sequencing. The Journal of Heart and Lung Transplantation. 36(4). S146–S146. 1 indexed citations
2.
Khush, Kiran K., Marica Gršković, Helen Luikart, et al.. (2016). Circulating Cell-Free DNA as a Non-Invasive Marker of Pediatric Heart Transplant Rejection and Immunosuppressive Treatment. The Journal of Heart and Lung Transplantation. 35(4). S75–S75. 3 indexed citations
3.
Vollmers, Christopher, Iwijn De Vlaminck, Hannah A. Valantine, et al.. (2015). Monitoring Pharmacologically Induced Immunosuppression by Immune Repertoire Sequencing to Detect Acute Allograft Rejection in Heart Transplant Patients: A Proof-of-Concept Diagnostic Accuracy Study. PLoS Medicine. 12(10). e1001890–e1001890. 23 indexed citations
4.
Vlaminck, Iwijn De, Lance Martin, Michael A. Kertesz, et al.. (2015). Non-Invasive Monitoring of Infection and Rejection After Lung Transplantation. The Journal of Heart and Lung Transplantation. 34(4). S137–S137. 23 indexed citations
5.
Vlaminck, Iwijn De, Lance Martin, Michael A. Kertesz, et al.. (2015). Noninvasive monitoring of infection and rejection after lung transplantation. Proceedings of the National Academy of Sciences. 112(43). 13336–13341. 254 indexed citations
6.
Vlaminck, Iwijn De, Hannah A. Valantine, Thomas M. Snyder, et al.. (2014). Circulating Cell-Free DNA Enables Noninvasive Diagnosis of Heart Transplant Rejection. Science Translational Medicine. 6(241). 241ra77–241ra77. 372 indexed citations breakdown →
7.
Vlaminck, Iwijn De, Kiran K. Khush, Calvin Strehl, et al.. (2013). Temporal Response of the Human Virome to Immunosuppression and Antiviral Therapy. Cell. 155(5). 1178–1187. 337 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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