Peter Andrews

10.6k total citations · 2 hit papers
91 papers, 4.1k citations indexed

About

Peter Andrews is a scholar working on Surgery, Transplantation and Nephrology. According to data from OpenAlex, Peter Andrews has authored 91 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 17 papers in Transplantation and 16 papers in Nephrology. Recurrent topics in Peter Andrews's work include Renal Transplantation Outcomes and Treatments (17 papers), Organ Transplantation Techniques and Outcomes (11 papers) and Organ Donation and Transplantation (10 papers). Peter Andrews is often cited by papers focused on Renal Transplantation Outcomes and Treatments (17 papers), Organ Transplantation Techniques and Outcomes (11 papers) and Organ Donation and Transplantation (10 papers). Peter Andrews collaborates with scholars based in United Kingdom, United States and Norway. Peter Andrews's co-authors include Dan Levy, Michael Wigler, Partha P. Mitra, Jude Kendall, Jayant Kulkarni, W. Richard McCombie, Hemant Bokil, Linda Rodgers, Diane Esposito and A. Krasnitz and has published in prestigious journals such as Nature, The Lancet and Nucleic Acids Research.

In The Last Decade

Peter Andrews

86 papers receiving 4.0k citations

Hit Papers

Tumour evolution inferred by single-cell sequencing 2010 2026 2015 2020 2011 2010 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Andrews United Kingdom 26 1.4k 1.3k 661 520 395 91 4.1k
P. C. Burger United States 40 1.7k 1.2× 554 0.4× 722 1.1× 207 0.4× 1.3k 3.2× 121 7.1k
Satoru Kondo Japan 39 1.8k 1.3× 870 0.7× 1.4k 2.2× 374 0.7× 331 0.8× 168 4.5k
Floyd H. Gilles United States 43 1.5k 1.1× 377 0.3× 414 0.6× 1.1k 2.1× 1.0k 2.6× 163 7.9k
Karen J. Taylor United Kingdom 34 1.3k 0.9× 262 0.2× 542 0.8× 501 1.0× 451 1.1× 105 3.9k
Yutaka Sawamura Japan 42 1.5k 1.1× 321 0.3× 894 1.4× 155 0.3× 651 1.6× 220 5.7k
Ken‐ichi Inoue Japan 35 2.7k 2.0× 375 0.3× 387 0.6× 681 1.3× 99 0.3× 180 5.4k
Chitra Sarkar India 43 2.6k 1.9× 1.3k 1.0× 803 1.2× 102 0.2× 1.1k 2.7× 393 7.6k
Klemens Ruprecht Germany 50 1.9k 1.4× 823 0.7× 773 1.2× 91 0.2× 293 0.7× 211 8.0k
Richard A. Prayson United States 54 1.9k 1.3× 586 0.5× 839 1.3× 557 1.1× 1.1k 2.8× 424 11.2k
Takao Takahashi Japan 33 1.7k 1.2× 275 0.2× 309 0.5× 224 0.4× 468 1.2× 159 4.3k

Countries citing papers authored by Peter Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Peter Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Andrews

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

All Works

20 of 20 papers shown
2.
Andrews, Peter, et al.. (2025). AiModerator: A Co-Pilot for Hyper-Contextualization in Political Debate Video. 137–156. 1 indexed citations
3.
Yoon, Seungtai, Adriana Muñoz, Boris Yamrom, et al.. (2021). Rates of contributory de novo mutation in high and low-risk autism families. Communications Biology. 4(1). 1026–1026. 19 indexed citations
4.
Nguyen, Tyler, Jianhua Gao, Ping Wang, et al.. (2021). In Vivo Wireless Brain Stimulation via Non-invasive and Targeted Delivery of Magnetoelectric Nanoparticles. Neurotherapeutics. 18(3). 2091–2106. 71 indexed citations
5.
Jobanputra, Vaidehi, Peter Andrews, Vanessa Felice, et al.. (2020). Detection of Copy Number Variants by Short Multiply Aggregated Sequence Homologies. Journal of Molecular Diagnostics. 22(12). 1476–1481. 1 indexed citations
6.
Willis, Joanna, Moji Awogbade, Jo Howard, et al.. (2020). Outcomes following kidney transplantation in patients with sickle cell disease: The impact of automated exchange blood transfusion. PLoS ONE. 15(8). e0236998–e0236998. 11 indexed citations
7.
McHugh, Kirk M., Nader Shaikh, J. Robert Manak, et al.. (2019). DNA copy number variations in children with vesicoureteral reflux and urinary tract infections. PLoS ONE. 14(8). e0220617–e0220617. 11 indexed citations
8.
Bokil, Hemant, Peter Andrews, Jayant Kulkarni, Samar Mehta, & Partha P. Mitra. (2010). Chronux: A platform for analyzing neural signals. Journal of Neuroscience Methods. 192(1). 146–151. 613 indexed citations breakdown →
9.
Lachmann, Helen J., Hugh J. B. Goodman, Peter Andrews, et al.. (2006). AA amyloidosis complicating hyperimmunoglobulinemia D with periodic fever syndrome: A report of two cases. Arthritis & Rheumatism. 54(6). 2010–2014. 36 indexed citations
10.
Lloyd, Mark, et al.. (2002). Renal vasculitis associated with renal cell carcinoma. Journal of the Royal Society of Medicine. 95(6). 305–306. 4 indexed citations
11.
Andrews, Peter. (2001). Rhinocerebral mucormycosis. The Lancet. 357(9274). 2084–2084. 2 indexed citations
12.
Andrews, Peter, Friederike Compton, C G Koffman, M. Bewick, & Rin Chang. (2001). Prediction of outcome in non–heart-beating kidney transplantation. Transplantation Proceedings. 33(1-2). 1121–1124. 7 indexed citations
13.
Andrews, Peter. (1997). Recurrence of lipoprotein glomerulopathy after renal transplantation. Nephrology Dialysis Transplantation. 12(11). 2442–2444. 18 indexed citations
14.
Andrews, Peter, et al.. (1997). THE ASYSTOLIC DONOR SYNDROME. Transplantation. 63(10). 1400–1404. 3 indexed citations
15.
Quan, Virginia, et al.. (1996). RHESUS IMMUNIZATION AFTER RENAL TRANSPLANTATION. Transplantation. 61(1). 149150–149150. 12 indexed citations
16.
Andrews, Peter, Antonello Pani, Wuding Zhou, & Steven H. Sacks. (1994). LOCAL TRANSCRIPTION OF COMPLEMENT C3 IN HUMAN ALLOGRAFT REJECTION. Transplantation. 58(5). 637–640. 38 indexed citations
17.
Andrews, Peter, Clare M. Lloyd, Michelle C. Webb, & Steven H. Sacks. (1994). Acute interstitial nephritis associated with Mycoplasma pneumoniae infection. Nephrology Dialysis Transplantation. 9(5). 564–566. 12 indexed citations
18.
Andrews, Peter, et al.. (1994). Mucormycosis in transplant recipients: possible case-case transmission and potentiation by cytomegalovirus. Nephrology Dialysis Transplantation. 9(8). 1194–1196. 16 indexed citations
19.
Zhang, Xian‐Yang, Paul T. Loflin, Charles W. Gehrke, Peter Andrews, & Melanie Ehrlich. (1987). Hypermethylation of human DNA sequences in embryonal carcinoma cells and somatic tissues but not in sperm. Nucleic Acids Research. 15(22). 9429–9449. 37 indexed citations
20.
Andrews, Peter, et al.. (1968). NASOPHARYNGEAL CARCINOMA IN CANADIAN BUSH PILOTS. The Lancet. 292(7559). 85–87. 7 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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