Udeme D. Ekong

3.1k total citations · 2 hit papers
53 papers, 2.0k citations indexed

About

Udeme D. Ekong is a scholar working on Surgery, Hepatology and Transplantation. According to data from OpenAlex, Udeme D. Ekong has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 23 papers in Hepatology and 15 papers in Transplantation. Recurrent topics in Udeme D. Ekong's work include Organ Transplantation Techniques and Outcomes (20 papers), Renal Transplantation Outcomes and Treatments (14 papers) and Liver Disease and Transplantation (14 papers). Udeme D. Ekong is often cited by papers focused on Organ Transplantation Techniques and Outcomes (20 papers), Renal Transplantation Outcomes and Treatments (14 papers) and Liver Disease and Transplantation (14 papers). Udeme D. Ekong collaborates with scholars based in United States, Canada and United Kingdom. Udeme D. Ekong's co-authors include Vicky L. Ng, Puneeta Tandon, Jennifer C. Lai, Elizabeth J. Carey, William Bernal, Elliot B. Tapper, Srinivasan Dasarathy, Estella M. Alonso, Peter F. Whitington and Sukru Emre and has published in prestigious journals such as JAMA, The Journal of Immunology and Hepatology.

In The Last Decade

Udeme D. Ekong

47 papers receiving 2.0k citations

Hit Papers

Malnutrition, Frailty, an... 2016 2026 2019 2022 2021 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Udeme D. Ekong United States 21 1.0k 824 551 327 310 53 2.0k
Cameron N. Ghent Canada 28 1.4k 1.4× 1.7k 2.0× 1.2k 2.2× 297 0.9× 238 0.8× 62 3.0k
H. Franklin Herlong United States 16 361 0.4× 652 0.8× 580 1.1× 76 0.2× 140 0.5× 25 1.4k
Mohammed Rela United Kingdom 18 717 0.7× 814 1.0× 406 0.7× 121 0.4× 29 0.1× 28 1.3k
Amit D. Tevar United States 28 979 1.0× 618 0.8× 478 0.9× 784 2.4× 326 1.1× 105 2.3k
Sukru Emre United States 23 1.3k 1.3× 1.0k 1.2× 609 1.1× 367 1.1× 61 0.2× 45 1.9k
Roberto Ceratti Manfro Brazil 23 643 0.6× 111 0.1× 308 0.6× 854 2.6× 114 0.4× 114 1.8k
Carmelo Libetta Italy 22 353 0.4× 153 0.2× 191 0.3× 141 0.4× 98 0.3× 70 1.4k
Igal Kam United States 37 3.5k 3.5× 3.5k 4.3× 1.4k 2.5× 835 2.6× 89 0.3× 100 4.9k
Olivier Guillaud France 26 614 0.6× 1.2k 1.5× 1.3k 2.4× 274 0.8× 43 0.1× 100 2.3k
Herwig Holzer Austria 18 334 0.3× 184 0.2× 162 0.3× 324 1.0× 59 0.2× 36 1.4k

Countries citing papers authored by Udeme D. Ekong

Since Specialization
Citations

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

Fields of papers citing papers by Udeme D. Ekong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udeme D. Ekong

This figure shows the co-authorship network connecting the top 25 collaborators of Udeme D. Ekong. A scholar is included among the top collaborators of Udeme D. Ekong 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 Udeme D. Ekong. Udeme D. Ekong 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.
Knackstedt, Elizabeth D, Ravinder Anand, Ronen Arnon, et al.. (2024). Cytomegalovirus prophylaxis in pediatric liver transplantation: A comparison of strategies across the Society of Pediatric Liver Transplantation (SPLIT) consortium. American Journal of Transplantation. 25(5). 1098–1106. 2 indexed citations
2.
Kang, Ji‐Man, Mohammed Sadat, Karim Khan, et al.. (2024). Suppressor T helper type 17 cell responses in intestinal transplant recipients with allograft rejection. Human Immunology. 85(3). 110773–110773.
3.
Paul, Saikat, Andrew E. Libby, Jordan Patterson, et al.. (2023). HERV1-env Induces Unfolded Protein Response Activation in Autoimmune Liver Disease: A Potential Mechanism for Regulatory T Cell Dysfunction. The Journal of Immunology. 210(6). 732–744. 5 indexed citations
5.
Ekong, Udeme D., Nada Yazigi, Karim Khan, et al.. (2022). Domino liver transplantation: Expanding the liver donor pool to the pediatric recipient. Liver Transplantation. 28(12). 1947–1950. 2 indexed citations
6.
Lee, Margaret, Nada Yazigi, Stuart S. Kaufman, et al.. (2022). Mismatch epitope load predicts de novo‐DSA‐free survival in pediatric liver transplantation. Pediatric Transplantation. 26(4). e14251–e14251. 7 indexed citations
7.
Lai, Jennifer C., Puneeta Tandon, William Bernal, et al.. (2021). Malnutrition, Frailty, and Sarcopenia in Patients With Cirrhosis: 2021 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology. 74(3). 1611–1644. 367 indexed citations breakdown →
8.
Ekong, Udeme D., et al.. (2021). Biliary Atresia/Neonatal Cholestasis. Pediatric Clinics of North America. 68(6). 1333–1341. 4 indexed citations
9.
Gonzalez, Corina, Stuart S. Kaufman, Nada Yazigi, et al.. (2021). Anti‐plasma cell treatment in refractory autoimmune hemolytic anemia in a child with multivisceral transplant. Pediatric Transplantation. 25(7). e14045–e14045. 1 indexed citations
10.
Name, Michelle Van, Mary Savoye, Ariel E. Feldstein, et al.. (2020). A Low ω-6 to ω-3 PUFA Ratio (n–6:n–3 PUFA) Diet to Treat Fatty Liver Disease in Obese Youth. Journal of Nutrition. 150(9). 2314–2321. 57 indexed citations
12.
Morotti, Raffaella, et al.. (2018). Biliary drainage as treatment for allograft steatosis following liver transplantation for PFIC‐1 disease: A single‐center experience. Pediatric Transplantation. 22(4). e13184–e13184. 14 indexed citations
13.
Osafo-Addo, Awo D., Yaron Avitzur, Maria Ciarleglio, et al.. (2016). Production of Proinflammatory Cytokines by Monocytes in Liver-Transplanted Recipients with De Novo Autoimmune Hepatitis Is Enhanced and Induces TH1-like Regulatory T Cells. The Journal of Immunology. 196(10). 4040–4051. 55 indexed citations
14.
Ekong, Udeme D., et al.. (2015). Autoimmune Liver Disease Post-Liver Transplantation. Transplantation. 100(3). 515–524. 29 indexed citations
15.
Vilarinho, Sílvia, E. Zeynep Erson‐Omay, Akdes Serin Harmancı, et al.. (2014). Paediatric hepatocellular carcinoma due to somatic CTNNB1 and NFE2L2 mutations in the setting of inherited bi-allelic ABCB11 mutations. Journal of Hepatology. 61(5). 1178–1183. 28 indexed citations
16.
Chaudhury, Sonali, Saeed Mohammad, Joan Lokar, et al.. (2012). Liver Transplantation Followed by Allogeneic Hematopoietic Stem Cell Transplantation for Atypical Mevalonic Aciduria. American Journal of Transplantation. 12(6). 1627–1631. 31 indexed citations
18.
Ekong, Udeme D., et al.. (2010). Once Daily Calcineurin Inhibitor Monotherapy in Pediatric Liver Transplantation. American Journal of Transplantation. 10(4). 883–888. 7 indexed citations
19.
Ekong, Udeme D., Stephen D. Miller, & Maurice R.G. O’Gorman. (2008). In vitro assays of allosensitization. Pediatric Transplantation. 13(1). 25–34. 8 indexed citations
20.
Zeng, Shan, Nikki Feirt, Michael H. Goldstein, et al.. (2004). Blockade of receptor for advanced glycation end product (RAGE) attenuates ischemia and reperfusion injury to the liver in mice. Hepatology. 39(2). 422–432. 157 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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