Dilip Moonka

2.8k total citations
94 papers, 1.7k citations indexed

About

Dilip Moonka is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Dilip Moonka has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Hepatology, 47 papers in Surgery and 42 papers in Epidemiology. Recurrent topics in Dilip Moonka's work include Liver Disease and Transplantation (53 papers), Organ Transplantation Techniques and Outcomes (44 papers) and Liver Disease Diagnosis and Treatment (37 papers). Dilip Moonka is often cited by papers focused on Liver Disease and Transplantation (53 papers), Organ Transplantation Techniques and Outcomes (44 papers) and Liver Disease Diagnosis and Treatment (37 papers). Dilip Moonka collaborates with scholars based in United States, Canada and Japan. Dilip Moonka's co-authors include Marwan Abouljoud, Kimberly Brown, Shunji Nagai, Atsushi Yoshida, Atsushi Yoshida, Michael Rizzari, Marwan Kazimi, Mohamed Safwan, Toshihiro Kitajima and Emma E. Furth and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Dilip Moonka

90 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilip Moonka United States 23 865 752 598 291 217 94 1.7k
Marie Danjoux France 19 1.4k 1.6× 340 0.5× 331 0.6× 264 0.9× 83 0.4× 37 2.0k
Nahel Elias United States 20 556 0.6× 756 1.0× 298 0.5× 366 1.3× 246 1.1× 88 1.5k
Parsia A. Vagefi United States 27 691 0.8× 1.7k 2.3× 536 0.9× 282 1.0× 209 1.0× 124 2.5k
L Belli Italy 33 2.3k 2.6× 1.3k 1.7× 1.5k 2.5× 297 1.0× 56 0.3× 174 3.1k
Mauricio Lisker‐Melman United States 23 2.3k 2.6× 278 0.4× 2.0k 3.3× 92 0.3× 151 0.7× 79 2.8k
Richard Garcia‐Kennedy United States 18 525 0.6× 461 0.6× 552 0.9× 102 0.4× 111 0.5× 35 1.4k
R Y Calne United Kingdom 22 610 0.7× 919 1.2× 387 0.6× 331 1.1× 111 0.5× 60 1.6k
Siegfried R. Erb Canada 21 816 0.9× 321 0.4× 734 1.2× 156 0.5× 33 0.2× 59 1.3k
Ngoc Thai United States 20 247 0.3× 357 0.5× 387 0.6× 351 1.2× 199 0.9× 50 1.1k
Alain Crusiaux Belgium 17 182 0.2× 331 0.4× 338 0.6× 101 0.3× 723 3.3× 24 1.4k

Countries citing papers authored by Dilip Moonka

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Moonka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip Moonka

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip Moonka. A scholar is included among the top collaborators of Dilip Moonka 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 Dilip Moonka. Dilip Moonka 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.
2.
Shimada, Shingo, Atsushi Yoshida, Marwan Abouljoud, et al.. (2023). Post‐transplant outcomes and financial burden of donation after circulatory death donor liver transplant after the implementation of acuity circle policy. Clinical Transplantation. 38(1). 2 indexed citations
3.
Shimada, Shingo, Tommy Ivanics, Katsunori Miyake, et al.. (2023). Effects of the implementation of acuity circle policy on waitlist and post‐transplant outcomes of liver re‐transplantation. Clinical Transplantation. 37(6). e14977–e14977. 1 indexed citations
4.
Ivanics, Tommy, Michael Rizzari, Dilip Moonka, et al.. (2020). Retransplantation outcomes for hepatitis C in the United States before and after direct-acting antiviral introduction. American Journal of Transplantation. 21(3). 1100–1112. 2 indexed citations
5.
Eshelman, Anne, Daniel Paulson, Thomas D. Meyer, et al.. (2010). The Influence of Alcohol Abuse History on the Differential, Longitudinal Patterns of Mental and Physical Quality of Life Following Liver Transplantation. Transplantation Proceedings. 42(10). 4145–4147. 8 indexed citations
6.
Moeller, Marcus J., et al.. (2010). The Impact of Donor Race on Recurrent Hepatitis C after Liver Transplantation. Transplantation Proceedings. 42(10). 4175–4177. 5 indexed citations
7.
8.
Pelletier, Shawn J., et al.. (2009). Incidental Hepatocellular Carcinoma After Liver Transplantation: Population Characteristics and Outcomes. Transplantation Proceedings. 41(1). 219–221. 17 indexed citations
9.
Antaki, Fadi, et al.. (2007). Bioelectrical Impedance Analysis for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis C Infection. Digestive Diseases and Sciences. 53(7). 1957–1960. 20 indexed citations
10.
Moonka, Dilip, et al.. (2006). Model for end-stage liver disease (MELD) exception for polycystic liver disease. Liver Transplantation. 12(Supplement 3). S110–S111. 38 indexed citations
11.
Abouljoud, Marwan, Dean Y. Kim, Atsushi Yoshida, et al.. (2005). Impact of Aberrant Arterial Anatomy and Location of Anastomosis on Technical Outcomes After Liver Transplantation. Journal of Gastrointestinal Surgery. 9(5). 672–678. 20 indexed citations
12.
Yoshida, Atsushi, et al.. (2004). The Efficacy and Limitations of Sirolimus Conversion in Liver Transplant Patients Who Develop Renal Dysfunction on Calcineurin Inhibitors. Digestive Diseases and Sciences. 49(6). 1029–1035. 27 indexed citations
13.
Brown, Kimberly & Dilip Moonka. (2003). Liver transplantation. Current Opinion in Gastroenterology. 19(3). 259–263. 1 indexed citations
14.
Abouljoud, Marwan, et al.. (2001). Successful strategy for reducing biliary complications after liver transplantation. Transplantation Proceedings. 33(5). 2714–2715. 13 indexed citations
15.
Brown, Kurt & Dilip Moonka. (2001). Liver transplantation. Current Opinion in Gastroenterology. 17(3). 299–303. 11 indexed citations
16.
Deshpande, Vikram, Eileen M. Burd, Kevin M. Chan, et al.. (2001). High levels of hepatitis C virus RNA in native livers correlate with the development of cholestatic hepatitis in liver allografts and a poor outcome. Liver Transplantation. 7(2). 118–124. 27 indexed citations
17.
Brown, Kimberly & Dilip Moonka. (1999). Liver transplantation. Current Opinion in Gastroenterology. 15(3). 278–282. 11 indexed citations
18.
Nakhleh, Raouf E., et al.. (1999). Quantitation of hepatitis C virus RNA in liver tissue of allografts: correlation with histologic features and liver function tests. Transplantation Proceedings. 31(1-2). 477–478. 3 indexed citations
19.
Moonka, Dilip, Emma E. Furth, Richard P. MacDermott, & Gary R. Lichtenstein. (1998). Pouchitis Associated With Primary Cytomegalovirus Infection. The American Journal of Gastroenterology. 93(2). 264–266. 61 indexed citations
20.
Moonka, Dilip, et al.. (1998). Quantitative assessment of hepatitis C virus RNA in peripheral blood mononuclear cells during therapy with interferon‐α2a. Journal of Viral Hepatitis. 5(1). 27–33. 7 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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