Matthew Paek

489 total citations
19 papers, 344 citations indexed

About

Matthew Paek is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Transplantation. According to data from OpenAlex, Matthew Paek has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Transplantation. Recurrent topics in Matthew Paek's work include Renal Transplantation Outcomes and Treatments (6 papers), Organ Donation and Transplantation (6 papers) and Neurological Complications and Syndromes (3 papers). Matthew Paek is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Organ Donation and Transplantation (6 papers) and Neurological Complications and Syndromes (3 papers). Matthew Paek collaborates with scholars based in United States, Russia and Italy. Matthew Paek's co-authors include James R. Rodrigue, Martha Pavlakis, Didier A. Mandelbrot, Amy D. Waterman, Ogo Egbuna, Jesse D. Schold, M.E. Schutzer, Paul Morrissey, Swan Specchi and Ariel M. Lyons‐Warren and has published in prestigious journals such as Transplantation, Journal of the American Veterinary Medical Association and Neuroscience Research.

In The Last Decade

Matthew Paek

19 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Paek United States 10 210 137 103 70 45 19 344
Gloria de la Rosa Spain 7 217 1.0× 114 0.8× 143 1.4× 26 0.4× 50 1.1× 9 406
Nick West United Kingdom 9 132 0.6× 37 0.3× 55 0.5× 35 0.5× 41 0.9× 25 264
Francesca Puoti Italy 8 74 0.4× 79 0.6× 72 0.7× 19 0.3× 31 0.7× 18 294
Alexandra K. Glazier United States 14 301 1.4× 177 1.3× 231 2.2× 22 0.3× 48 1.1× 25 421
P. López Cubillana Spain 10 60 0.3× 13 0.1× 111 1.1× 55 0.8× 16 0.4× 47 245
Giang Huong Tran Vietnam 4 73 0.3× 130 0.9× 89 0.9× 15 0.2× 7 0.2× 10 255
Annie Lahoche France 9 47 0.2× 59 0.4× 51 0.5× 36 0.5× 8 0.2× 14 227
Paul Robertson Australia 8 110 0.5× 56 0.4× 91 0.9× 6 0.1× 65 1.4× 15 267
Stephen N. Sturgiss United Kingdom 15 406 1.9× 17 0.1× 44 0.4× 87 1.2× 6 0.1× 31 769
Sara E. Arian United States 12 237 1.1× 56 0.4× 56 0.5× 10 0.1× 20 0.4× 29 544

Countries citing papers authored by Matthew Paek

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Paek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Paek

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

All Works

19 of 19 papers shown
1.
Maï, Wilfried, et al.. (2025). A Veterinary DICOM‐Based Deep Learning Denoising Algorithm Can Improve Subjective and Objective Brain MRI Image Quality. Veterinary Radiology & Ultrasound. 66(2). e70015–e70015. 1 indexed citations
2.
Chen, Sandy, et al.. (2022). What Is Your Diagnosis?. Journal of the American Veterinary Medical Association. 259(S1). 1–3. 1 indexed citations
3.
4.
Bush, William S., et al.. (2020). Use of C-reactive protein concentration in evaluation of diskospondylitis in dogs. Journal of Veterinary Internal Medicine. 35(1). 209–216. 9 indexed citations
5.
6.
Paek, Matthew, et al.. (2019). Canine insulinomas appear hyperintense on MRI T2‐weighted images and isointense on T1‐weighted images. Veterinary Radiology & Ultrasound. 60(3). 330–337. 7 indexed citations
7.
Specchi, Swan, Federica Rossi, Chick Weisse, et al.. (2018). Canine and feline abdominal arterioportal communications can be classified based on branching patterns in computed tomographic angiography. Veterinary Radiology & Ultrasound. 59(6). 687–696. 9 indexed citations
8.
Paek, Matthew, et al.. (2018). Radiography and ultrasonography of pneumatosis intestinalis in a cat. Veterinary Radiology & Ultrasound. 61(3). E26–E30. 11 indexed citations
9.
Specchi, Swan, et al.. (2017). A “spaghetti sign” in feline abdominal radiographs predicts spleno‐systemic collateral circulation. Veterinary Radiology & Ultrasound. 59(1). 13–17. 4 indexed citations
10.
Rodrigue, James R., Matthew Paek, Jesse D. Schold, Martha Pavlakis, & Didier A. Mandelbrot. (2016). Predictors and Moderators of Educational Interventions to Increase the Likelihood of Potential Living Donors for Black Patients Awaiting Kidney Transplantation. Journal of Racial and Ethnic Health Disparities. 4(5). 837–845. 14 indexed citations
11.
Paek, Matthew, Eric N. Glass, Marc Kent, Craig A. Clifford, & Alexander de Lahunta. (2015). Primary Lumbar Extradural Hemangiosarcoma in a Dog. Journal of the American Animal Hospital Association. 51(3). 191–196. 9 indexed citations
12.
Rodrigue, James R., Matthew Paek, Ogo Egbuna, et al.. (2014). Making House Calls Increases Living Donor Inquiries and Evaluations for Blacks on the Kidney Transplant Waiting List. Transplantation. 98(9). 979–986. 89 indexed citations
13.
Rodrigue, James R., Matthew Paek, Ogo Egbuna, et al.. (2014). Readiness of Wait-Listed Black Patients to Pursue Live Donor Kidney Transplant. Progress in Transplantation. 24(4). 355–361. 20 indexed citations
14.
Rodrigue, James R., Matthew Paek, James F. Whiting, et al.. (2013). Trajectories of Perceived Benefits in Living Kidney Donors. Transplantation. 97(7). 762–768. 19 indexed citations
15.
Rodrigue, James R., Matthew Paek, Ogo Egbuna, et al.. (2013). Willingness to Pursue Live-Donor Kidney Transplantation Among Waitlisted Patients Infected With Human Immunodeficiency Virus (HIV). Transplantation. 95(6). 787–790. 6 indexed citations
16.
Paek, Matthew, Julie B. Engiles, & Wilfried Maï. (2013). PREVALENCE, ASSOCIATION WITH STIFLE CONDITIONS, AND HISTOPATHOLOGIC CHARACTERISTICS OF TIBIAL TUBEROSITY RADIOLUCENCIES IN DOGS. Veterinary Radiology & Ultrasound. 54(5). 453–458. 2 indexed citations
17.
Rodrigue, James R., Martha Pavlakis, Ogo Egbuna, et al.. (2012). The “House Calls” Trial: A Randomized Controlled Trial to Reduce Racial Disparities in Live Donor Kidney Transplantation: Rationale and Design. Contemporary Clinical Trials. 33(4). 811–818. 44 indexed citations
18.
Rodrigue, James R., M.E. Schutzer, Matthew Paek, & Paul Morrissey. (2011). Altruistic Kidney Donation to a Stranger: Psychosocial and Functional Outcomes at Two US Transplant Centers. Transplantation. 91(7). 772–778. 46 indexed citations
19.
Wheeler, Jeff, Matthew Paek, Ariel M. Lyons‐Warren, et al.. (2006). Primate disrupted-in-schizophrenia-1 (DISC1): High divergence of a gene for major mental illnesses in recent evolutionary history. Neuroscience Research. 56(3). 286–293. 24 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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