Scott A. Kendrick

1.1k total citations · 1 hit paper
12 papers, 886 citations indexed

About

Scott A. Kendrick is a scholar working on Transplantation, Nephrology and Surgery. According to data from OpenAlex, Scott A. Kendrick has authored 12 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transplantation, 7 papers in Nephrology and 5 papers in Surgery. Recurrent topics in Scott A. Kendrick's work include Renal Transplantation Outcomes and Treatments (9 papers), Renal Diseases and Glomerulopathies (6 papers) and Transplantation: Methods and Outcomes (3 papers). Scott A. Kendrick is often cited by papers focused on Renal Transplantation Outcomes and Treatments (9 papers), Renal Diseases and Glomerulopathies (6 papers) and Transplantation: Methods and Outcomes (3 papers). Scott A. Kendrick collaborates with scholars based in United States, Pakistan and France. Scott A. Kendrick's co-authors include William T. Kendrick, Carl E. Haisch, Paul Bolin, Lorita M. Rebellato, Kimberly P. Briley, Paul I. Terasaki, Robert C. Harland, Matthew J. Everly, Paul G. Catrou and Miyuki Ozawa and has published in prestigious journals such as Journal of the American Society of Nephrology, Transplantation and American Journal of Transplantation.

In The Last Decade

Scott A. Kendrick

12 papers receiving 873 citations

Hit Papers

Incidence and Impact of De Novo Donor-Specific Alloantibo... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Incidence and Impact of De Novo Donor-Specific Alloantibody in Primary Renal Allografts
    2013 292 citations Matthew J. Everly, Lorita M. Rebellato et al. Transplantation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Kendrick United States 10 697 403 258 258 88 12 886
Meritxell Ibernón Spain 20 631 0.9× 363 0.9× 333 1.3× 136 0.5× 57 0.6× 39 1.1k
Sakarn Bunnag Thailand 10 806 1.2× 500 1.2× 319 1.2× 243 0.9× 50 0.6× 16 1.1k
Amit Govil United States 17 901 1.3× 549 1.4× 315 1.2× 348 1.3× 78 0.9× 50 1.4k
Johnny Sayegh France 15 274 0.4× 205 0.5× 134 0.5× 115 0.4× 91 1.0× 34 661
Bert L Kasiske United States 9 559 0.8× 363 0.9× 199 0.8× 111 0.4× 38 0.4× 11 755
Jennifer A. McCaughan United Kingdom 14 435 0.6× 336 0.8× 191 0.7× 120 0.5× 56 0.6× 30 706
Santosh Potdar United States 9 287 0.4× 253 0.6× 119 0.5× 92 0.4× 147 1.7× 20 644
Maarten Coemans Belgium 16 795 1.1× 510 1.3× 209 0.8× 139 0.5× 50 0.6× 33 959
Mary Lin Farrell United States 11 920 1.3× 636 1.6× 232 0.9× 227 0.9× 69 0.8× 12 1.3k
Manuel Arias Spain 13 422 0.6× 195 0.5× 77 0.3× 222 0.9× 71 0.8× 21 664

Countries citing papers authored by Scott A. Kendrick

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Kendrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Kendrick. 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 Scott A. Kendrick. The network helps show where Scott A. Kendrick may publish in the future.

Co-authorship network of co-authors of Scott A. Kendrick

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

All Works

12 of 12 papers shown
1.
Everly, Matthew J., Kimberly P. Briley, Carl E. Haisch, et al.. (2017). Racial differences in incident de novo donor-specific anti-HLA antibody among primary renal allograft recipients: results from a single center cohort study. Transplant International. 30(6). 566–578. 15 indexed citations
2.
Everly, Matthew J., Kimberly P. Briley, Carl E. Haisch, et al.. (2015). Onset and progression of de novo donor‐specific anti‐human leukocyte antigen antibodies after BK polyomavirus and preemptive immunosuppression reduction. Transplant Infectious Disease. 17(6). 848–858. 32 indexed citations
3.
Everly, Matthew J., Lorita M. Rebellato, Carl E. Haisch, et al.. (2014). Impact of IgM and IgG3 Anti-HLA Alloantibodies in Primary Renal Allograft Recipients. Transplantation. 97(5). 494–501. 58 indexed citations
4.
Everly, Matthew J., Lorita M. Rebellato, Carl E. Haisch, et al.. (2014). Changes in Successive Measures of De Novo Donor-Specific Anti–Human Leukocyte Antigen Antibodies Intensity and The Development of Allograft Dysfunction. Transplantation. 98(10). 1097–1104. 13 indexed citations
5.
Rebellato, Lorita M., Karen Parker, Matthew J. Everly, et al.. (2014). Improved Long-Term Survival in Kidney Transplant Recipients with Donor-Specific HLA Antibodies After Mycophenolic Acid Escalation.. PubMed. 137–42. 2 indexed citations
6.
Rebellato, Lorita M., Junchao Cai, Kimberly P. Briley, et al.. (2013). Higher Risk of Kidney Graft Failure in the Presence of Anti-Angiotensin II Type-1 Receptor Antibodies. American Journal of Transplantation. 13(10). 2577–2589. 167 indexed citations
7.
Everly, Matthew J., Lorita M. Rebellato, Carl E. Haisch, et al.. (2013). Incidence and Impact of De Novo Donor-Specific Alloantibody in Primary Renal Allografts. Transplantation. 95(3). 410–417. 292 indexed citations breakdown →
8.
Wu, Pingping, Matthew J. Everly, Lorita M. Rebellato, et al.. (2013). Trends and Characteristics in Early Glomerular Filtration Rate Decline After Posttransplantation Alloantibody Appearance. Transplantation. 96(10). 919–925. 10 indexed citations
9.
Freitas, Maria Cecília S., Lorita M. Rebellato, Miyuki Ozawa, et al.. (2013). The Role of Immunoglobulin-G Subclasses and C1q in De Novo HLA-DQ Donor-Specific Antibody Kidney Transplantation Outcomes. Transplantation. 95(9). 1113–1119. 146 indexed citations
10.
Rebellato, Lorita M., Carl E. Haisch, Miyuki Ozawa, et al.. (2011). A report of the epidemiology of de novo donor-specific anti-HLA antibodies (DSA) in "low-risk" renal transplant recipients.. PubMed. 337–40. 9 indexed citations
11.
Burgos, Paula I., Elizabeth L. Perkins, Guillermo Pons‐Estel, et al.. (2009). Risk factors and impact of recurrent lupus nephritis in patients with systemic lupus erythematosus undergoing renal transplantation: Data from a single US institution. Arthritis & Rheumatism. 60(9). 2757–2766. 54 indexed citations
12.
Nolin, Thomas D., et al.. (2006). Hemodialysis Acutely Improves Hepatic CYP3A4 Metabolic Activity. Journal of the American Society of Nephrology. 17(9). 2363–2367. 88 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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