John Seal

2.4k total citations
55 papers, 1.4k citations indexed

About

John Seal is a scholar working on Surgery, Hepatology and Cognitive Neuroscience. According to data from OpenAlex, John Seal has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 15 papers in Hepatology and 12 papers in Cognitive Neuroscience. Recurrent topics in John Seal's work include Organ Transplantation Techniques and Outcomes (17 papers), Liver Disease and Transplantation (15 papers) and Motor Control and Adaptation (8 papers). John Seal is often cited by papers focused on Organ Transplantation Techniques and Outcomes (17 papers), Liver Disease and Transplantation (15 papers) and Motor Control and Adaptation (8 papers). John Seal collaborates with scholars based in United States, France and Australia. John Seal's co-authors include Jeffrey G. Parker, Bruce L. Gewertz, Daniel Commenges, Robert S. Daum, Bernard Bioulac, Christian E. Gross, John C. Alverdy, Alexa Riehle, Jean Requin and Thierry Hasbroucq and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

John Seal

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Seal United States 22 404 364 256 196 149 55 1.4k
Lluís Capdevila Spain 30 530 1.3× 61 0.2× 245 1.0× 233 1.2× 347 2.3× 141 2.2k
Patricia Kozuch United States 16 266 0.7× 796 2.2× 41 0.2× 89 0.5× 124 0.8× 37 2.4k
Sarah Thomas United States 20 209 0.5× 179 0.5× 210 0.8× 25 0.1× 212 1.4× 48 1.5k
Rachel Anderson United States 27 215 0.5× 168 0.5× 58 0.2× 126 0.6× 340 2.3× 68 2.3k
Jennifer Hammond United States 24 78 0.2× 229 0.6× 204 0.8× 48 0.2× 108 0.7× 79 2.2k
Lan Jiang United States 29 248 0.6× 321 0.9× 36 0.1× 54 0.3× 248 1.7× 87 2.5k
R. B. Payne United Kingdom 24 253 0.6× 203 0.6× 27 0.1× 144 0.7× 99 0.7× 121 2.6k
John A. Hermos United States 25 378 0.9× 120 0.3× 25 0.1× 105 0.5× 396 2.7× 52 2.0k
I. Fontana Italy 19 429 1.1× 247 0.7× 64 0.3× 14 0.1× 278 1.9× 94 2.1k
Ricardo Segurado Ireland 27 199 0.5× 223 0.6× 14 0.1× 72 0.4× 247 1.7× 134 2.2k

Countries citing papers authored by John Seal

Since Specialization
Citations

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

Fields of papers citing papers by John Seal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Seal

This figure shows the co-authorship network connecting the top 25 collaborators of John Seal. A scholar is included among the top collaborators of John Seal 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 John Seal. John Seal 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
1.
Seal, John, et al.. (2022). Three-Dimensional Visualization With Virtual Reality Facilitates Complex Live Donor Renal Transplant. Ochsner Journal. 22(4). 344–348. 4 indexed citations
2.
Zhang, Jenny, et al.. (2021). Directed Donation: Special Considerations and Review for Contemporary Clinical Practices. Ochsner Journal. 21(3). 281–286. 5 indexed citations
3.
Frank, Anderson R., Kim R. Bridle, Dorothy H. Crawford, et al.. (2019). Interleukin-33 / Cyclin D1 imbalance in severe liver steatosis predicts susceptibility to ischemia reperfusion injury. PLoS ONE. 14(4). e0216242–e0216242. 6 indexed citations
4.
Bohórquez, Humberto, et al.. (2018). Pre Liver Transplant (LT) Prediction of Surgical Complexity by Recipient Risk Grading and Optimizing Outcomes: The Ochsner Experience. American Journal of Transplantation. 18. 848–849. 1 indexed citations
5.
Loss, G., Alice J. Cohen, Ian Carmody, et al.. (2016). There Will Be Blood: Liver Fracking. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
6.
Reichman, Trevor, Ian Carmody, Humberto Bohórquez, et al.. (2016). Using on-site liver 3-D reconstruction and volumetric calculations in split liver transplantation. Hepatobiliary & pancreatic diseases international. 15(6). 587–592. 2 indexed citations
7.
Cox‐Alomar, Pedro, Humberto Bohórquez, George Therapondos, et al.. (2016). Sa1626 Transcatheter Aortic Valve Replacement (TAVR) for Severe Aortic Stenosis as a Bridge to Liver Transplantation. Gastroenterology. 150(4). S1080–S1080. 3 indexed citations
8.
Bruce, D., Ian Carmody, G. Loss, et al.. (2015). Is BMI of 28 an Appropriate Cutoff for Simultaneous Pancreas Kidney Transplant in Type II Diabetes. American Journal of Transplantation. 15. 1 indexed citations
9.
Gupta, Tripti, Qingyang Luo, John Seal, et al.. (2015). The Association of Pre-Transplant Sarcopenia and Cirrhotic Cardiomyopathy with Postoperative Complications after Liver Transplant. Hepatology. 62. 1 indexed citations
10.
Laurence, Jerome, Max Marquez, Fateh Bazerbachi, et al.. (2015). Optimizing Pancreas Transplantation Outcomes in Obese Recipients. Transplantation. 99(6). 1282–1287. 24 indexed citations
11.
Seal, John, Michael J. Morowitz, Olga Zaborina, Gary An, & John C. Alverdy. (2010). The molecular Koch's postulates and surgical infection: A view forward. Surgery. 147(6). 757–765. 25 indexed citations
12.
13.
Seal, John, et al.. (2006). A high prevalence of methicillin-resistant Staphylococcus aureus among surgically drained soft-tissue infections in pediatric patients. Pediatric Surgery International. 22(8). 683–687. 8 indexed citations
14.
Seal, John & Bruce L. Gewertz. (2005). Vascular Dysfunction in Ischemia-Reperfusion Injury. Annals of Vascular Surgery. 19(4). 572–584. 167 indexed citations
15.
Seal, John, Beatriz Meurer Moreira, Cindy Bethel, & Robert S. Daum. (2003). Antimicrobial Resistance in Staphylococcus aureus at the University of Chicago Hospitals: A 15-Year Longitudinal Assessment in a Large University-Based Hospital. Infection Control and Hospital Epidemiology. 24(6). 403–408. 37 indexed citations
16.
Daum, Robert S. & John Seal. (2001). Evolving antimicrobial chemotherapy for Staphylococcus aureus infections: Our backs to the wall. Critical Care Medicine. 29(Supplement). N92–N96. 32 indexed citations
17.
Bioulac, Bernard, John Seal, Dominique Guehl, Pierre Burbaud, & Christian E. Gross. (1999). Reorganization of area 5 neuron activity in trained deafferented monkeys. Brain Research. 835(2). 266–274. 6 indexed citations
18.
Hasbroucq, Thierry, et al.. (1995). Finger Pairings in Two-Choice Reaction Time Tasks: Does the Between-Hands Advantage Reflect Response Preparation?. Journal of Motor Behavior. 27(3). 251–262. 52 indexed citations
19.
Requin, Jean, Alexa Riehle, & John Seal. (1988). Neuronal activity and information processing in motor control: From stages to continuous flow. Biological Psychology. 26(1-3). 179–198. 49 indexed citations
20.
Seal, John & Daniel Commenges. (1986). Modeling of the stimulus-response process and the determination of function in the central nervous system. Mathematical Modelling. 7(5-8). 905–913. 2 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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