Michael Cecka

2.0k total citations
27 papers, 656 citations indexed

About

Michael Cecka is a scholar working on Transplantation, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Cecka has authored 27 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Transplantation, 14 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Cecka's work include Renal Transplantation Outcomes and Treatments (22 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Transplantation: Methods and Outcomes (7 papers). Michael Cecka is often cited by papers focused on Renal Transplantation Outcomes and Treatments (22 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Transplantation: Methods and Outcomes (7 papers). Michael Cecka collaborates with scholars based in United States, Canada and United Kingdom. Michael Cecka's co-authors include Paul I. Terasaki, David W. Gjertson, David Gjertson, Gabriel M. Danovitch, Suphamai Bunnapradist, Jagbir Gill, John S. Gill, P I Terasaki, J Cicciarelli and M. R. Mickey and has published in prestigious journals such as American Journal of Kidney Diseases, Transplantation and American Journal of Transplantation.

In The Last Decade

Michael Cecka

26 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Cecka United States 13 453 333 210 100 75 27 656
K. Gillingham United States 10 525 1.2× 354 1.1× 136 0.6× 63 0.6× 87 1.2× 16 633
Sollinger Hw United States 18 378 0.8× 670 2.0× 205 1.0× 94 0.9× 33 0.4× 71 891
J.A Zubimendi Spain 13 395 0.9× 298 0.9× 128 0.6× 145 1.4× 69 0.9× 33 590
Andrew Bentall United States 14 491 1.1× 285 0.9× 115 0.5× 76 0.8× 48 0.6× 51 693
Amer Rajab United States 13 353 0.8× 388 1.2× 130 0.6× 85 0.8× 104 1.4× 47 664
Judith Worthington United Kingdom 11 577 1.3× 392 1.2× 113 0.5× 43 0.4× 33 0.4× 22 664
A. Wiland United States 10 371 0.8× 347 1.0× 84 0.4× 52 0.5× 71 0.9× 20 698
Eileen W. Tsai United States 14 324 0.7× 143 0.4× 69 0.3× 119 1.2× 56 0.7× 16 647
Adele R. Shields United States 14 504 1.1× 266 0.8× 72 0.3× 42 0.4× 47 0.6× 22 653
Y Saint‐Hillier France 13 268 0.6× 115 0.3× 74 0.4× 66 0.7× 79 1.1× 35 558

Countries citing papers authored by Michael Cecka

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cecka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cecka

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Cecka. A scholar is included among the top collaborators of Michael Cecka 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 Michael Cecka. Michael Cecka 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.
Helgeson, Erika S., Roslyn B. Mannon, Joseph P. Grande, et al.. (2020). i-IFTA and chronic active T cell–mediated rejection: A tale of 2 (DeKAF) cohorts. American Journal of Transplantation. 21(5). 1866–1877. 12 indexed citations
2.
Matas, Arthur J., Ann Fieberg, Roslyn B. Mannon, et al.. (2018). Long-term follow-up of the DeKAF cross-sectional cohort study. American Journal of Transplantation. 19(5). 1432–1443. 16 indexed citations
3.
Lan, James H., et al.. (2018). Clinical utility of complement-dependent C3d assay in kidney recipients presenting with late allograft dysfunction. American Journal of Transplantation. 18(12). 2934–2944. 7 indexed citations
4.
Hickey, Michelle J., Ying Zheng, Nicole M. Valenzuela, et al.. (2016). New priorities: Analysis of the New Kidney Allocation System on UCLA patients transplanted from the deceased donor waitlist. Human Immunology. 78(1). 41–48. 16 indexed citations
5.
Baxter‐Lowe, Lee Ann, et al.. (2014). Center-Defined Unacceptable HLA Antigens Facilitate Transplants for Sensitized Patients in a Multi-Center Kidney Exchange Program. American Journal of Transplantation. 14(7). 1592–1598. 43 indexed citations
6.
Zhang, Xiaohai, Elaine F. Reed, Michael Cecka, Raja Rajalingam, & Qiuheng Zhang. (2013). 62-OR. Human Immunology. 74. 49–49.
7.
Gill, Jagbir, Suphamai Bunnapradist, Gabriel M. Danovitch, et al.. (2008). Outcomes of Kidney Transplantation From Older Living Donors to Older Recipients. American Journal of Kidney Diseases. 52(3). 541–552. 107 indexed citations
8.
Cecka, Michael, et al.. (2004). Class I DNA typing proficiency approaches 99% consensus: Summary of the 10th year of the international HLA DNA exchange. Human Immunology. 65(9-10). S80–S80. 1 indexed citations
9.
Bradley, Benjamin, S. Takemoto, David Gjertson, Elaine F. Reed, & Michael Cecka. (2001). Elderly transplant recipients may require less immunosuppression. Transplantation Proceedings. 33(1-2). 1115–1116. 9 indexed citations
10.
Kremers, Hilal Maradit, Donnie Funch, Richard A. Robson, et al.. (1999). A combination study design to examine mycophenolate mofetil (MMF) and PTLD in renal transplant patients. Pharmacoepidemiology and Drug Safety. 8(7). 509–518. 4 indexed citations
11.
Cecka, Michael. (1998). CLINICAL OUTCOME OF RENAL TRANSPLANTATION. Surgical Clinics of North America. 78(1). 133–148. 85 indexed citations
12.
Dawson, Sherfield, David K. Imagawa, Michael Cecka, et al.. (1996). UCLA Liver Transplantation: Analysis of Immunological Factors Affecting Outcome. Artificial Organs. 20(10). 1063–1072. 17 indexed citations
13.
Gjertson, David W., Michael Cecka, & Paul I. Terasaki. (1995). THE RELATIVE EFFECTS OF FK506 AND CYCLOSPORINE ON SHORT- AND LONG-TERM KIDNEY GRAFT SURVIVAL1,2,3. Transplantation. 60(12). 1384–1388. 131 indexed citations
14.
15.
Sutherland, David E.R., A. Gruessner, K. Moudry-Munns, & Michael Cecka. (1993). Tabulation of cases from the International Pancreas Transplant Registry and analysis of United Network for Organ Sharing United States Pancreas Transplant Registry data according to multiple variables.. PubMed. 25(1 Pt 2). 1707–9. 5 indexed citations
16.
Gajewski, James, Michael Cecka, & R. Champlin. (1990). Bone marrow transplantation utilizing HLA-matched unrelated marrow donors. Blood Reviews. 4(2). 132–138. 4 indexed citations
17.
Terasaki, P I, M. R. Mickey, Michael Cecka, Y Iwaki, & J Cicciarelli. (1989). Clinical kidney transplants, 1988. Immunology Letters. 21(1). 33–38. 26 indexed citations
18.
Terasaki, Paul I., et al.. (1989). Long-term survival of kidney grafts.. PubMed. 21(1 Pt 1). 615–7. 23 indexed citations
19.
Takiff, Howard, Yuichi Iwaki, Michael Cecka, & P I Terasaki. (1989). THE BENEFIT AND UNDERUTILIZATION OF SHARING KIDNEYS FOR BETTER HISTOCOMPATIBILITY. Transplantation. 47(1). 102–105. 9 indexed citations
20.
Erb, Peter, et al.. (1982). Ia Determinants on Macrophages: Significance and Role in the Immune Response. Advances in experimental medicine and biology. 155. 579–590. 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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