Jaime Glorioso

953 total citations
24 papers, 595 citations indexed

About

Jaime Glorioso is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Jaime Glorioso has authored 24 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 14 papers in Hepatology and 7 papers in Epidemiology. Recurrent topics in Jaime Glorioso's work include Organ Transplantation Techniques and Outcomes (11 papers), Liver Disease Diagnosis and Treatment (6 papers) and Liver Disease and Transplantation (6 papers). Jaime Glorioso is often cited by papers focused on Organ Transplantation Techniques and Outcomes (11 papers), Liver Disease Diagnosis and Treatment (6 papers) and Liver Disease and Transplantation (6 papers). Jaime Glorioso collaborates with scholars based in United States, Canada and China. Jaime Glorioso's co-authors include Scott L. Nyberg, Shennen A. Mao, Bruce Amiot, Raymond Hickey, Meng Yin, Richard L. Ehman, Harmeet Malhi, Armando Manduca, Ruisi Wang and Christopher J. Ward and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Journal of Hepatology.

In The Last Decade

Jaime Glorioso

24 papers receiving 587 citations

Peers

Jaime Glorioso

HEPAT

SURGE

EPIDE

MB

BE

Xiaoshun He China

Zuyuan Lin China

Jinzhen Cai China

E. Di Florio Italy

S Hayashi Japan

Mei‐Hsuan Lee Taiwan

Te‐Sheng Chang Taiwan

Magdy Elkashab Canada

Andrea Telese United Kingdom

J Peña United Kingdom

Xiaoshun He China

Jaime Glorioso

213 ×0.6

HEPAT

255 ×0.9

SURGE

107 ×0.5

EPIDE

64 ×0.5

MB

9 ×0.1

BE

Citations per year, relative to Jaime Glorioso Jaime Glorioso (= 1×) peers Xiaoshun He

Countries citing papers authored by Jaime Glorioso

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Glorioso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Glorioso

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

All Works

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20 of 20 papers shown

1.

Preston, William, Peter J. Altshuler, Misung Yi, et al.. (2023). A propensity score matched analysis of liver transplantation outcomes in the setting of preservation solution shortage. American Journal of Transplantation. 24(4). 619–630. 3 indexed citations

2.

Lamm, Ryan, Peter J. Altshuler, Keyur Patel, et al.. (2022). Reduced Rates of Post-Transplant Recurrent Hepatocellular Carcinoma in Non-Alcoholic Steatohepatitis: A Propensity Score Matched Analysis. Transplant International. 35. 10175–10175. 4 indexed citations

3.

Glorioso, Jaime. (2021). Kidney Allocation Policy: Past, Present, and Future. Advances in Chronic Kidney Disease. 28(6). 511–516. 14 indexed citations

4.

Glorioso, Jaime, et al.. (2021). Robotic Full Lobe Hepatectomy With Natural Orifice Extraction. SHILAP Revista de lepidopterología. 2(1). e041–e041. 1 indexed citations

5.

Altshuler, Peter J., Hien Dang, Adam M. Frank, et al.. (2021). Evaluating Outcomes Related to Donor and Recipient Metabolic Environment: Macrosteatotic Allografts and Nonalcoholic Steatohepatitis. Liver Transplantation. 28(4). 623–635. 2 indexed citations

6.

Jackson, Kyle R., Sheng Zhou, Jessica M. Ruck, et al.. (2019). Pediatric deceased donor kidney transplant outcomes under the Kidney Allocation System. American Journal of Transplantation. 19(11). 3079–3086. 15 indexed citations

7.

Kaiser, Robert A., Shennen A. Mao, Jaime Glorioso, et al.. (2018). Lentiviral Vector-mediated Gene Therapy of Hepatocytes <em>Ex Vivo</em> for Autologous Transplantation in Swine. Journal of Visualized Experiments. 5 indexed citations

8.

Kaiser, Robert A., Shennen A. Mao, Jaime Glorioso, et al.. (2018). Lentiviral Vector-mediated Gene Therapy of Hepatocytes <em>Ex Vivo</em> for Autologous Transplantation in Swine. Journal of Visualized Experiments. 1 indexed citations

9.

Hickey, Raymond, Clara T. Nicolas, Shennen A. Mao, et al.. (2018). Autologous Gene and Cell Therapy Provides Safe and Long-Term Curative Therapy in A Large Pig Model of Hereditary Tyrosinemia Type 1. Cell Transplantation. 28(1). 79–88. 17 indexed citations

10.

Kashani, Kianoush, Shennen A. Mao, Sami Safadi, et al.. (2017). Association between kidney intracapsular pressure and ultrasound elastography. Critical Care. 21(1). 251–251. 14 indexed citations

11.

Glorioso, Jaime, William S. Harmsen, Elizabeth B. Habermann, et al.. (2017). Margin Proximity Correlates with Local Recurrence After Mastectomy for Patients Not Receiving Adjuvant Radiotherapy. Annals of Surgical Oncology. 24(11). 3148–3156. 11 indexed citations

12.

Yin, Meng, Kevin J. Glaser, Armando Manduca, et al.. (2017). Distinguishing between Hepatic Inflammation and Fibrosis with MR Elastography. Radiology. 284(3). 694–705. 119 indexed citations

13.

Mao, Shennen A., Jaime Glorioso, Meng Yin, et al.. (2016). Chronic Phenotype Characterization of a Large-Animal Model of Hereditary Tyrosinemia Type 1. American Journal Of Pathology. 187(1). 33–41. 10 indexed citations

14.

Croome, Kristopher P., Shennen A. Mao, Jaime Glorioso, et al.. (2015). Characterization of a porcine model for associating liver partition and portal vein ligation for a staged hepatectomy. HPB. 17(12). 1130–1136. 17 indexed citations

15.

Glorioso, Jaime, Shennen A. Mao, Walter K. Kremers, et al.. (2015). Pivotal preclinical trial of the spheroid reservoir bioartificial liver. Journal of Hepatology. 63(2). 388–398. 58 indexed citations

16.

Hickey, Raymond, Shennen A. Mao, Jaime Glorioso, et al.. (2014). Fumarylacetoacetate hydrolase deficient pigs are a novel large animal model of metabolic liver disease. Stem Cell Research. 13(1). 144–153. 42 indexed citations

17.

Mao, Shennen A., Jaime Glorioso, & Scott L. Nyberg. (2014). Liver regeneration. Translational research. 163(4). 352–362. 172 indexed citations

18.

Hickey, Raymond, Shennen A. Mao, Bruce Amiot, et al.. (2014). Noninvasive 3‐dimensional imaging of liver regeneration in a mouse model of hereditary tyrosinemia type 1 using the sodium iodide symporter gene. Liver Transplantation. 21(4). 442–453. 15 indexed citations

19.

Liu, Hongling, Yue Yu, Jaime Glorioso, et al.. (2013). Cold Storage of Rat Hepatocyte Spheroids. Cell Transplantation. 23(7). 819–830. 5 indexed citations

20.

Grotz, Travis E., Jaime Glorioso, Barbara A. Pockaj, William S. Harmsen, & James W. Jakub. (2012). Preservation of the deep muscular fascia and locoregional control in melanoma. Surgery. 153(4). 535–541. 12 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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