William T. Kendrick

1.1k total citations · 1 hit paper
15 papers, 898 citations indexed

About

William T. Kendrick is a scholar working on Transplantation, Nephrology and Surgery. According to data from OpenAlex, William T. Kendrick has authored 15 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Transplantation, 7 papers in Nephrology and 6 papers in Surgery. Recurrent topics in William T. Kendrick's work include Renal Transplantation Outcomes and Treatments (11 papers), Renal Diseases and Glomerulopathies (7 papers) and Organ Transplantation Techniques and Outcomes (4 papers). William T. Kendrick is often cited by papers focused on Renal Transplantation Outcomes and Treatments (11 papers), Renal Diseases and Glomerulopathies (7 papers) and Organ Transplantation Techniques and Outcomes (4 papers). William T. Kendrick collaborates with scholars based in United States and United Kingdom. William T. Kendrick's co-authors include Scott A. Kendrick, Carl E. Haisch, Paul I. Terasaki, Paul Bolin, Lorita M. Rebellato, Kimberly P. Briley, Robert C. Harland, Matthew J. Everly, Paul G. Catrou and Miyuki Ozawa and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Transplantation and American Journal of Transplantation.

In The Last Decade

William T. Kendrick

14 papers receiving 887 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

William T. Kendrick
Marco Allinovi Italy
Haifeng Wang China
J. Camps Netherlands
Mario Stalder Switzerland
André Aurengo France
A. Doerfler France
A. Rouxel France
R. Ropolo Italy
Giampaolo Siena Italy
Anurag Sahu United States
Marco Allinovi Italy
William T. Kendrick
Citations per year, relative to William T. Kendrick William T. Kendrick (= 1×) peers Marco Allinovi

Countries citing papers authored by William T. Kendrick

Since Specialization
Citations

This map shows the geographic impact of William T. 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 William T. Kendrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Kendrick more than expected).

Fields of papers citing papers by William T. Kendrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William T. Kendrick

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Kendrick. A scholar is included among the top collaborators of William T. 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 William T. Kendrick. William T. Kendrick 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.
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
2.
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
3.
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
4.
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
5.
Rebellato, Lorita M., Matthew J. Everly, Angela Q. Maldonado, et al.. (2014). Incidence and Impact of Anti-HLA-DP-Antibodies in Renal Transplantation.. Transplantation. 98. 84–84. 5 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., Paul Bolin, Stuart Kendrick, et al.. (2012). Mycophenolate Acid Reduce Donor Specific HLA Antibody Strength in Kidney Transplant Recipients. Transplantation. 94(10S). 1081–1081. 1 indexed citations
11.
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
12.
Rebellato, Lorita M., Masayuki Ozawa, Kimberly P. Briley, et al.. (2010). LONG TERM EFFECT OF INCREASED MYCOPHENOLIC ACID (MPA) ON DONOR SPECIFIC HLA ANTIBODY (DSA) STRENGTH AND IGG LEVELS IN KIDNEY TRANSPLANT RECIPIENTS. Transplantation. 90. 631–631.
13.
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
14.
Rasmussen, Kurt, David O. Calligaro, Janet F. Czachura, et al.. (2000). The Novel 5-Hydroxytryptamine1A Antagonist LY426965: Effects on Nicotine Withdrawal and Interactions with Fluoxetine. Journal of Pharmacology and Experimental Therapeutics. 294(2). 688–700. 50 indexed citations
15.
McDaniel, B. W., et al.. (1997). Field Applications of Cryogenic Nitrogen as a Hydraulic Fracturing Fluid. Proceedings of SPE Annual Technical Conference and Exhibition. 59 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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