J. Miller

1.4k total citations
101 papers, 1.1k citations indexed

About

J. Miller is a scholar working on Surgery, Transplantation and Hepatology. According to data from OpenAlex, J. Miller has authored 101 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Surgery, 58 papers in Transplantation and 14 papers in Hepatology. Recurrent topics in J. Miller's work include Renal Transplantation Outcomes and Treatments (55 papers), Organ Transplantation Techniques and Outcomes (46 papers) and Transplantation: Methods and Outcomes (13 papers). J. Miller is often cited by papers focused on Renal Transplantation Outcomes and Treatments (55 papers), Organ Transplantation Techniques and Outcomes (46 papers) and Transplantation: Methods and Outcomes (13 papers). J. Miller collaborates with scholars based in United States, Italy and Spain. J. Miller's co-authors include Gaetano Ciancio, George W. Burke, David Roth, Violet Esquenazi, Rodolfo Alejandro, L. Olson, Andreas G. Tzakis, Daniel H. Mintz, Jack Noel and James M. Mathew and has published in prestigious journals such as Journal of Clinical Investigation, Clinical Infectious Diseases and The Journal of Urology.

In The Last Decade

J. Miller

97 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Miller United States 18 731 513 187 185 139 101 1.1k
Rainer Gruessner United States 19 1.0k 1.4× 937 1.8× 121 0.6× 146 0.8× 124 0.9× 69 1.5k
Shohei Fuchinoue Japan 18 529 0.7× 424 0.8× 143 0.8× 74 0.4× 171 1.2× 86 1.1k
A. Wiland United States 10 347 0.5× 371 0.7× 28 0.1× 109 0.6× 167 1.2× 20 698
Sollinger Hw United States 18 670 0.9× 378 0.7× 249 1.3× 59 0.3× 88 0.6× 71 891
T Tojimbara Japan 16 631 0.9× 356 0.7× 264 1.4× 53 0.3× 127 0.9× 81 986
Ashokkumar Jain United States 21 578 0.8× 548 1.1× 384 2.1× 27 0.1× 255 1.8× 51 1.3k
Amit Govil United States 17 549 0.8× 901 1.8× 78 0.4× 54 0.3× 156 1.1× 50 1.4k
C F Barker United States 9 342 0.5× 406 0.8× 40 0.2× 67 0.4× 122 0.9× 19 729
Johannes Donauer Germany 16 291 0.4× 274 0.5× 58 0.3× 98 0.5× 102 0.7× 27 881
Andrew Ready United Kingdom 17 484 0.7× 406 0.8× 115 0.6× 37 0.2× 69 0.5× 46 878

Countries citing papers authored by J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of J. Miller. A scholar is included among the top collaborators of J. Miller 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 J. Miller. J. Miller 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.
Ciancio, Gaetano, et al.. (2007). Dual Kidney Transplantation Using Midline Extraperitoneal Approach: Description of a Technique. Transplantation Proceedings. 39(4). 1118–1119. 9 indexed citations
3.
Salgar, Shashikumar K., Dinghua Yang, Phillip Ruiz, J. Miller, & A. Tzakis. (2004). Viral interleukin-10 gene therapy to induce tolerance to solid organ transplants in mice. Transplantation Proceedings. 36(2). 397–398. 8 indexed citations
4.
Ciancio, Gaetano, George W. Burke, Kiliana Suzart‐Woischnik, et al.. (2002). Effect of daclizumab, tacrolimus and mycophenolate mofetil in racial minority first renal transplant recipients. Transplantation Proceedings. 34(5). 1617–1618. 13 indexed citations
5.
García-Morales, Rolando, Gaetano Ciancio, James M. Mathew, et al.. (2001). Perioperative donor bone marrow infusion in cadaver kidney transplant recipients. Transplantation Proceedings. 33(7-8). 3840–3843.
6.
Ciancio, Gaetano, George W. Burke, Anne Rosén, et al.. (2001). Daclizumab induction for primary kidney transplant recipients using tacrolimus, mycophenolate mofetil, and steroids as maintenance immunosuppression. Transplantation Proceedings. 33(1-2). 1013–1014. 10 indexed citations
7.
Cirocco, Robert, et al.. (1999). Kidney recipient CMV incidence in the gancyclovir era: monitoring viral DNA by a CMV-PCR assay. Transplantation Proceedings. 31(1-2). 1362–1363. 1 indexed citations
8.
Burke, George W., Gaetano Ciancio, Rodolfo Alejandro, et al.. (1998). Use of Tacrolimus and Mycophenolate Mofetil For Pancreas–Kidney Transplantation With or Without OKT3 Induction. Transplantation Proceedings. 30(4). 1544–1545. 30 indexed citations
9.
10.
Ciancio, Gaetano, George W. Burke, Carmen Gómez, et al.. (1997). Simultaneous pancreas-kidney transplantation in hispanic recipients with type I diabetes mellitus and end-stage renal disease. Transplantation Proceedings. 29(8). 3717–3717. 2 indexed citations
11.
Ciancio, Gaetano, George W. Burke, Christopher Gomez, et al.. (1997). Organ donation among hispanics: a single-center experience. Transplantation Proceedings. 29(8). 3745–3745. 9 indexed citations
12.
Miller, J., J D Pirsch, Mark H. Deierhoi, Flavio Vincenti, & Ronald S. Filo. (1997). FK 506 in kidney transplantation: Results of the U.S.A. randomized comparative phase III study. Transplantation Proceedings. 29(1-2). 304–305. 28 indexed citations
13.
Cirocco, Robert, Georgios Fragulidis, Debbie Weppler, et al.. (1997). Recurrent hepatitis C infection following orthotopic liver transplantation is predicted by posttransplant serum and hepatic allograft viral titers. Transplantation Proceedings. 29(7). 2839–2840. 4 indexed citations
14.
Burke, George W., Gaetano Ciancio, David Roth, et al.. (1997). Removal of preformed cytotoxic antibody using PROSOR (staph protein-a-silica) column without immunosuppression. Transplantation Proceedings. 29(4). 2249–2251. 3 indexed citations
15.
Ricordi, Camillo, Theodore Karatzas, J. Nery, et al.. (1997). Effect of timing of donor bone marrow infusions on liver allograft survival. Transplantation Proceedings. 29(1-2). 1186–1186. 5 indexed citations
16.
Ciancio, Gaetano, David Roth, J Nery, et al.. (1995). Renal transplantation in a new immunosuppressive era.. PubMed. 27(1). 812–3. 11 indexed citations
17.
18.
Esquenazi, Violet, Laphalle Fuller, David B. Roth, et al.. (1989). Toward the definition of nominal tissue-associated kidney tubular cell-surface epitope(s) which cause autologous and allogeneic T cell immune reactivity.. PubMed. 21(1 Pt 1). 311–3. 2 indexed citations
19.
Ryan, Edmond A., J. Miller, & Jay S. Skyler. (1983). Finger sepsis: possible complication of self monitoring of blood glucose concentrations.. BMJ. 286(6378). 1614.2–1615. 17 indexed citations
20.
Miller, J., et al.. (1978). The use of second-generation assays in pre- and posttransplant monitoring: the primed or second-degree MLC.. PubMed. 10(3). 573–8. 2 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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