Emilio D. Poggio

12.4k total citations · 3 hit papers
144 papers, 7.3k citations indexed

About

Emilio D. Poggio is a scholar working on Transplantation, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Emilio D. Poggio has authored 144 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Transplantation, 59 papers in Public Health, Environmental and Occupational Health and 48 papers in Surgery. Recurrent topics in Emilio D. Poggio's work include Renal Transplantation Outcomes and Treatments (74 papers), Organ Donation and Transplantation (46 papers) and Organ Transplantation Techniques and Outcomes (41 papers). Emilio D. Poggio is often cited by papers focused on Renal Transplantation Outcomes and Treatments (74 papers), Organ Donation and Transplantation (46 papers) and Organ Transplantation Techniques and Outcomes (41 papers). Emilio D. Poggio collaborates with scholars based in United States, Canada and Pakistan. Emilio D. Poggio's co-authors include Jesse D. Schold, Chirag R. Parikh, Steven G. Coca, Sri G. Yarlagadda, Tom Greene, Richard N. Formica, David A. Goldfarb, Xuelei Wang, Phillip Hall and Stuart M. Flechner and has published in prestigious journals such as New England Journal of Medicine, Annals of Surgery and Radiology.

In The Last Decade

Emilio D. Poggio

141 papers receiving 7.2k citations

Hit Papers

align trajectories

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.

Association between delayed graft function and allograft and patient survival: a systematic review and meta-analysis

2008 573 citations Sri G. Yarlagadda, Steven G. Coca et al. Nephrology Dialysis Transplantation profile →
Performance of the Modification of Diet in Renal Disease and Cockcroft-Gault Equations in the Estimation of GFR in Health and in Chronic Kidney Disease

2004 528 citations Emilio D. Poggio, Xuelei Wang et al. Journal of the American Society of Nephrology profile →
The Substantial Loss of Nephrons in Healthy Human Kidneys with Aging

2016 283 citations Emilio D. Poggio, Andrew D. Rule et al. Journal of the American Society of Nephrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emilio D. Poggio United States	47	3.2k	2.5k	2.4k	1.9k	1.8k	144	7.3k
Robert S. Gaston United States	47	4.7k 1.5×	2.9k 1.2×	1.2k 0.5×	2.5k 1.3×	1.3k 0.7×	135	7.5k
Julio Pascual Spain	52	3.6k 1.1×	2.8k 1.1×	2.6k 1.1×	1.4k 0.7×	1.1k 0.6×	319	9.3k
Fernando G. Cosio United States	53	3.7k 1.2×	2.6k 1.0×	3.8k 1.6×	1.4k 0.7×	2.0k 1.1×	143	9.4k
Titte R. Srinivas United States	40	3.3k 1.0×	2.2k 0.9×	1.4k 0.6×	1.3k 0.7×	797 0.4×	135	6.0k
Herwig‐Ulf Meier‐Kriesche United States	42	5.1k 1.6×	3.3k 1.3×	992 0.4×	2.2k 1.2×	1.2k 0.7×	62	7.0k
Maarten Naesens Belgium	55	5.1k 1.6×	3.0k 1.2×	2.1k 0.9×	1.2k 0.6×	1.3k 0.7×	242	9.0k
Bryan N. Becker United States	44	2.0k 0.6×	1.8k 0.7×	1.3k 0.5×	1.1k 0.5×	812 0.4×	120	5.5k
Karsten Midtvedt Norway	41	3.0k 0.9×	1.9k 0.7×	697 0.3×	1.3k 0.7×	1.0k 0.6×	196	5.2k
Suphamai Bunnapradist United States	51	3.9k 1.2×	2.8k 1.1×	1.1k 0.5×	1.4k 0.7×	693 0.4×	208	6.9k
Francesc Moreso Spain	34	2.8k 0.9×	1.9k 0.8×	1.4k 0.6×	825 0.4×	854 0.5×	176	4.6k

Countries citing papers authored by Emilio D. Poggio

Since Specialization

Citations

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

Fields of papers citing papers by Emilio D. Poggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilio D. Poggio. 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 Emilio D. Poggio. The network helps show where Emilio D. Poggio may publish in the future.

Co-authorship network of co-authors of Emilio D. Poggio

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio D. Poggio. A scholar is included among the top collaborators of Emilio D. Poggio 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 Emilio D. Poggio. Emilio D. Poggio 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

Veličković, Dušan, John P. Shapiro, Samir V. Parikh, et al.. (2024). Protein N-Glycans in Healthy and Sclerotic Glomeruli in Diabetic Kidney Disease. Journal of the American Society of Nephrology. 35(9). 1198–1207. 7 indexed citations

Tighiouart, Hocine, Shiyuan Miao, Marc Froissart, et al.. (2024). Estimating glomerular filtration rate in kidney transplant recipients: considerations for selecting equations. Kidney International. 106(5). 991–995. 1 indexed citations

Demirjian, Sevag, Anne M. Huml, Faisal G. Bakaeen, et al.. (2024). Sex bias in prediction and diagnosis of cardiac surgery associated acute kidney injury. BMC Nephrology. 25(1). 180–180. 2 indexed citations

Schold, Jesse D., Anne M. Huml, S. Ali Husain, et al.. (2023). Deceased donor kidneys from higher distressed communities are significantly less likely to be utilized for transplantation. American Journal of Transplantation. 23(11). 1723–1732. 7 indexed citations

Schold, Jesse D., Christine Koval, Alvin Wee, Mohamed Eltemamy, & Emilio D. Poggio. (2022). Utilization and outcomes of deceased donor SARS-CoV-2–positive organs for solid organ transplantation in the United States. American Journal of Transplantation. 22(9). 2217–2227. 22 indexed citations

Koval, Christine, Mohamed Eltemamy, Emilio D. Poggio, Jesse D. Schold, & Alvin Wee. (2022). Comparative outcomes for over 100 deceased donor kidney transplants from SARS-CoV-2 positive donors: A single-center experience. American Journal of Transplantation. 22(12). 2903–2911. 8 indexed citations

Guo, Kexin, Raymond L. Heilman, Emilio D. Poggio, et al.. (2021). Combining Blood Gene Expression and Cellfree DNA to Diagnose Subclinical Rejection in Kidney Transplant Recipients. Clinical Journal of the American Society of Nephrology. 16(10). 1539–1551. 48 indexed citations

Koval, Christine, et al.. (2021). Early success transplanting kidneys from donors with new SARS-CoV-2 RNA positivity: A report of 10 cases. American Journal of Transplantation. 21(11). 3743–3749. 40 indexed citations

Mannon, Roslyn B., et al.. (2021). Dynamic Response of Donor-Derived Cell-Free DNA Following Treatment of Acute Rejection in Kidney Allografts. Kidney360. 2(4). 729–736. 27 indexed citations

10.

Schold, Jesse D., Joshua J. Augustine, Anne M. Huml, et al.. (2019). Modest rates and wide variation in timely access to repeat kidney transplantation in the United States. American Journal of Transplantation. 20(3). 769–778. 24 indexed citations

11.

Schold, Jesse D., Laura D. Buccini, David A. Goldfarb, et al.. (2016). Emergency Department Visits after Kidney Transplantation. Clinical Journal of the American Society of Nephrology. 11(4). 674–683. 24 indexed citations

12.

Schold, Jesse D., Emilio D. Poggio, David A. Goldfarb, Liise K. Kayler, & Stuart M. Flechner. (2015). Clinical Outcomes Associated With Induction Regimens Among Retransplant Kidney Recipients in the United States. Transplantation. 99(6). 1165–1171. 21 indexed citations

13.

Flechner, Stuart M., Xiaobo Liu, Jesse D. Schold, et al.. (2013). CMV Viremia Is Associated With a Decreased Incidence of BKV Reactivation after Kidney and Kidney-Pancreas Transplantation. Transplantation. 96(12). 1097–1103. 37 indexed citations

14.

Srinivas, Titte R., Richard Fatica, Joseph V. Nally, et al.. (2012). Preemptive renal transplant candidate survival, access to care, and renal function at listing. Nephrology Dialysis Transplantation. 27(8). 3321–3329. 15 indexed citations

15.

Srinivas, Titte R. & Emilio D. Poggio. (2012). Do Living Kidney Donors Have CKD?. Advances in Chronic Kidney Disease. 19(4). 229–236. 11 indexed citations

16.

Lane, Brian R., Sevag Demirjian, Christopher Weight, et al.. (2010). Performance of the Chronic Kidney Disease-Epidemiology Study Equations for Estimating Glomerular Filtration Rate Before and After Nephrectomy. The Journal of Urology. 183(3). 896–902. 47 indexed citations

17.

Tanchanco, Roberto, Venkatesh Krishnamurthi, Charles Winans, et al.. (2008). Beneficial Outcomes of a Steroid-Free Regimen With Thymoglobulin Induction in Pancreas-Kidney Transplantation. Transplantation Proceedings. 40(5). 1551–1554. 18 indexed citations

18.

Yarlagadda, Sri G., Steven G. Coca, Amit X. Garg, et al.. (2008). Marked variation in the definition and diagnosis of delayed graft function: a systematic review. Nephrology Dialysis Transplantation. 23(9). 2995–3003. 297 indexed citations

19.

Poggio, Emilio D., D. Scott Batty, & Stuart M. Flechner. (2007). Evaluation of Renal Function in Transplantation. Transplantation. 84(2). 131–136. 27 indexed citations

20.

Poggio, Emilio D., Patrick Nef, Xuelei Wang, et al.. (2005). Performance of the Cockcroft-Gault and Modification of Diet in Renal Disease Equations in Estimating GFR in Ill Hospitalized Patients. American Journal of Kidney Diseases. 46(2). 242–252. 177 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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