Lev L. Barenbaum

525 total citations
8 papers, 388 citations indexed

About

Lev L. Barenbaum is a scholar working on Transplantation, Surgery and Nephrology. According to data from OpenAlex, Lev L. Barenbaum has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Transplantation, 4 papers in Surgery and 3 papers in Nephrology. Recurrent topics in Lev L. Barenbaum's work include Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Liver Disease and Transplantation (3 papers). Lev L. Barenbaum is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Liver Disease and Transplantation (3 papers). Lev L. Barenbaum collaborates with scholars based in United States and Israel. Lev L. Barenbaum's co-authors include Alfred K. Cheung, Bradley C. Baird, Alexander S. Goldfarb‐Rumyantzev, John F. Hurdle, John D. Scandling, Zhengke Wang, B. Baird, James K. Koford, Arsalan N. Habib and Fuad S. Shihab and has published in prestigious journals such as American Journal of Kidney Diseases, Clinical Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

In The Last Decade

Lev L. Barenbaum

8 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev L. Barenbaum United States 8 270 159 130 120 84 8 388
Arsalan N. Habib United States 11 159 0.6× 112 0.7× 159 1.2× 166 1.4× 53 0.6× 11 405
James K. Koford United States 13 291 1.1× 203 1.3× 158 1.2× 93 0.8× 88 1.0× 14 497
Madhukar Chelamcharla United States 8 149 0.6× 98 0.6× 89 0.7× 114 0.9× 52 0.6× 8 332
Udaya Udayaraj United Kingdom 12 167 0.6× 156 1.0× 111 0.9× 152 1.3× 77 0.9× 25 419
John Leggat United States 6 112 0.4× 111 0.7× 101 0.8× 146 1.2× 20 0.2× 10 318
Mariana C. Chiles United States 12 316 1.2× 341 2.1× 209 1.6× 57 0.5× 149 1.8× 14 529
Matthew P. Sypek Australia 12 219 0.8× 122 0.8× 147 1.1× 124 1.0× 48 0.6× 33 380
Julie Boucquemont France 10 148 0.5× 83 0.5× 68 0.5× 115 1.0× 41 0.5× 15 339
Vishnu S. Potluri United States 11 194 0.7× 159 1.0× 94 0.7× 61 0.5× 58 0.7× 28 319
Fawaz Al Ammary United States 14 196 0.7× 295 1.9× 137 1.1× 49 0.4× 157 1.9× 51 476

Countries citing papers authored by Lev L. Barenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Lev L. Barenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev L. Barenbaum. 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 Lev L. Barenbaum. The network helps show where Lev L. Barenbaum may publish in the future.

Co-authorship network of co-authors of Lev L. Barenbaum

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

All Works

8 of 8 papers shown
1.
Goldfarb‐Rumyantzev, Alexander S., Gurprataap Singh Sandhu, Bradley C. Baird, et al.. (2012). Education is associated with reduction in racial disparities in kidney transplant outcome. Clinical Transplantation. 26(6). 891–899. 20 indexed citations
2.
Petersen, Emily, Bradley C. Baird, Lev L. Barenbaum, et al.. (2008). The impact of employment status on recipient and renal allograft survival. Clinical Transplantation. 22(4). 428–438. 49 indexed citations
3.
Krikov, Sergey, et al.. (2007). Predicting Kidney Transplant Survival Using Tree-Based Modeling. ASAIO Journal. 53(5). 592–600. 46 indexed citations
4.
Goldfarb‐Rumyantzev, Alexander S., Arsalan N. Habib, Bradley C. Baird, Lev L. Barenbaum, & Alfred K. Cheung. (2007). The Association of Lipid-Modifying Medications With Mortality in Patients on Long-Term Peritoneal Dialysis. American Journal of Kidney Diseases. 50(5). 791–802. 33 indexed citations
5.
Goldfarb‐Rumyantzev, Alexander S., John F. Hurdle, Bradley C. Baird, et al.. (2006). The role of pre-emptive re-transplant in graft and recipient outcome. Nephrology Dialysis Transplantation. 21(5). 1355–1364. 33 indexed citations
6.
Goldfarb‐Rumyantzev, Alexander S., et al.. (2006). Role of Maintenance Immunosuppressive Regimen in Kidney Transplant Outcome. Clinical Journal of the American Society of Nephrology. 1(3). 563–574. 15 indexed citations
7.
Naiman, Natalie, Bradley C. Baird, Ross B. Isaacs, et al.. (2006). Role of pre‐transplant marital status in renal transplant outcome. Clinical Transplantation. 21(1). 38–46. 27 indexed citations
8.
Hurdle, John F., John D. Scandling, Zhengke Wang, et al.. (2004). Duration of end-stage renal disease and kidney transplant outcome. Nephrology Dialysis Transplantation. 20(1). 167–175. 165 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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