Michaël Abécassis

37.6k total citations · 7 hit papers
333 papers, 23.8k citations indexed

About

Michaël Abécassis is a scholar working on Surgery, Hepatology and Transplantation. According to data from OpenAlex, Michaël Abécassis has authored 333 papers receiving a total of 23.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Surgery, 130 papers in Hepatology and 109 papers in Transplantation. Recurrent topics in Michaël Abécassis's work include Organ Transplantation Techniques and Outcomes (120 papers), Renal Transplantation Outcomes and Treatments (107 papers) and Liver Disease and Transplantation (87 papers). Michaël Abécassis is often cited by papers focused on Organ Transplantation Techniques and Outcomes (120 papers), Renal Transplantation Outcomes and Treatments (107 papers) and Liver Disease and Transplantation (87 papers). Michaël Abécassis collaborates with scholars based in United States, United Kingdom and Canada. Michaël Abécassis's co-authors include Laura Kulik, Claude B. Sirlin, Julie K. Heimbach, Andrew X. Zhu, Lewis R. Roberts, Richard S. Finn, Jorge A. Marrero, Talia Baker, Riad Salem and Robert J. Lewandowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Michaël Abécassis

319 papers receiving 23.4k citations

Hit Papers

Diagnosis, Staging, and Management of... 2008 2026 2014 2020 2018 2017 2010 2009 2019 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases
    2018 3.1k citations Michaël Abécassis et al. Hepatology profile →
  2. AASLD guidelines for the treatment of hepatocellular carcinoma
    2017 2.9k citations Michaël Abécassis et al. Hepatology profile →
  3. Validation of a current definition of early allograft dysfunction in liver transplant recipients and analysis of risk factors
    2010 835 citations Michaël Abécassis et al. Liver Transplantation profile →
  4. Radioembolization for Hepatocellular Carcinoma Using Yttrium-90 Microspheres: A Comprehensive Report of Long-term Outcomes
    2009 740 citations Michaël Abécassis et al. profile →
  5. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases
    2019 516 citations Michaël Abécassis et al. profile →
  6. Y90 Radioembolization Significantly Prolongs Time to Progression Compared With Chemoembolization in Patients With Hepatocellular Carcinoma
    2016 433 citations Michaël Abécassis et al. profile →
  7. Kidney Transplantation as Primary Therapy for End-Stage Renal Disease
    2008 430 citations Michaël Abécassis, John J. Friedewald et al. Clinical Journal of the American Society of Nephrology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaël Abécassis United States 74 15.5k 10.2k 8.3k 3.4k 3.2k 333 23.8k
Pierre–Alain Clavien Switzerland 92 13.1k 0.8× 18.3k 1.8× 6.4k 0.8× 1.2k 0.3× 3.4k 1.1× 480 28.0k
P. Neuhaus Germany 59 8.4k 0.5× 9.3k 0.9× 6.1k 0.7× 2.0k 0.6× 3.2k 1.0× 596 18.0k
Wolf O. Bechstein Germany 58 9.3k 0.6× 9.5k 0.9× 4.4k 0.5× 2.3k 0.7× 4.4k 1.4× 637 20.5k
John P. Roberts United States 71 13.0k 0.8× 9.8k 1.0× 8.5k 1.0× 3.1k 0.9× 1.5k 0.5× 364 19.6k
Henri Bismuth France 86 19.4k 1.3× 13.7k 1.3× 9.6k 1.2× 1.5k 0.5× 4.5k 1.4× 485 27.0k
Robert S. Brown United States 65 10.7k 0.7× 6.4k 0.6× 7.3k 0.9× 1.3k 0.4× 1.6k 0.5× 375 16.1k
James Neuberger United Kingdom 78 11.8k 0.8× 8.6k 0.8× 8.2k 1.0× 2.9k 0.8× 1.3k 0.4× 409 19.0k
Daniel Azoulay France 72 13.5k 0.9× 10.0k 1.0× 4.9k 0.6× 582 0.2× 3.9k 1.2× 443 20.4k
David Grant Canada 61 6.4k 0.4× 8.0k 0.8× 2.5k 0.3× 2.1k 0.6× 1.2k 0.4× 343 12.9k
Thomas E. Starzl United States 117 22.4k 1.4× 32.3k 3.2× 12.7k 1.5× 13.4k 3.9× 3.8k 1.2× 1.3k 56.9k

Countries citing papers authored by Michaël Abécassis

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Abécassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Abécassis

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Abécassis. A scholar is included among the top collaborators of Michaël Abécassis 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 Michaël Abécassis. Michaël Abécassis 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.
Abécassis, Michaël. (2023). De l’élitisme lexical au style familier : la rhétorique d’Emmanuel Macron. SHILAP Revista de lepidopterología. 6(1). 56–65.
2.
Guo, Kexin, Raymond L. Heilman, Emilio D. Poggio, et al.. (2021). Combining Blood Gene Expression and Cellfree DNA to Diagnose Subclinical Rejection in Kidney Transplant Recipients. Clinical Journal of the American Society of Nephrology. 16(10). 1539–1551. 48 indexed citations
3.
Levitsky, Josh, Manoj Kandpal, Kexin Guo, et al.. (2021). Donor-derived cell-free DNA levels predict graft injury in liver transplant recipients. American Journal of Transplantation. 22(2). 532–540. 50 indexed citations
4.
Dangi, Anil, et al.. (2020). Acute murine cytomegalovirus disrupts established transplantation tolerance and causes recipient allo-sensitization. American Journal of Transplantation. 21(2). 515–524. 4 indexed citations
5.
Mannon, Roslyn B., Randall E. Morris, Michaël Abécassis, et al.. (2020). Use of biomarkers to improve immunosuppressive drug development and outcomes in renal organ transplantation: A meeting report. American Journal of Transplantation. 20(6). 1495–1502. 12 indexed citations
6.
Swaminathan, Suchitra, Shixian Yan, Flora Engelmann, et al.. (2019). A novel murine model of differentiation-mediated cytomegalovirus reactivation from latently infected bone marrow haematopoietic cells. Journal of General Virology. 100(12). 1680–1694. 11 indexed citations
7.
Zhang, Zheng, Longhui Qiu, Shixian Yan, et al.. (2019). A clinically relevant murine model unmasks a “two-hit” mechanism for reactivation and dissemination of cytomegalovirus after kidney transplant. American Journal of Transplantation. 19(9). 2421–2433. 22 indexed citations
8.
9.
Kurian, Sunil M., Eric J. Velazquez, Ryan C. Thompson, et al.. (2017). Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform. American Journal of Transplantation. 17(8). 2103–2116. 29 indexed citations
10.
Modena, Brian D., F. Harrison, Jennifer A. Cheeseman, et al.. (2016). Changes in Urinary Microbiome Populations Correlate in Kidney Transplants With Interstitial Fibrosis and Tubular Atrophy Documented in Early Surveillance Biopsies. American Journal of Transplantation. 17(3). 712–723. 59 indexed citations
11.
12.
Caralt, M., Joseph S. Uzarski, Stanca Iacob, et al.. (2014). Optimization and Critical Evaluation of Decellularization Strategies to Develop Renal Extracellular Matrix Scaffolds as Biological Templates for Organ Engineering and Transplantation. American Journal of Transplantation. 15(1). 64–75. 175 indexed citations
13.
14.
Parikh, Neehar D., Daniela P. Ladner, Michaël Abécassis, & Zeeshan Butt. (2010). Quality of life for donors after living donor liver transplantation: A review of the literature. Liver Transplantation. 16(12). 1352–1358. 81 indexed citations
15.
Abécassis, Michaël, et al.. (2010). En parlant, en écrivant. P. Lang eBooks. 3 indexed citations
16.
Abécassis, Michaël, et al.. (2007). Normes et variations dans les discours et en interaction. Harmattan eBooks.
17.
Abécassis, Michaël. (2004). Analyse lexicographique du vocabulaire familier des films des années 30. 2004(33). 1–17. 1 indexed citations
18.
Abécassis, Michaël. (2002). A social study of address patterns in the dialogues of 1930s French films. Romanische Forschungen. 114(3). 295–306. 1 indexed citations
19.
Abécassis, Michaël, P. Y. Wong, F Cheung, et al.. (1988). Cyclosporin A metabolites suppress T-cell proliferation by concanavalin A and in a mixed lymphocyte reaction.. PubMed. 31(3). 145–50. 7 indexed citations
20.
Abécassis, Michaël. (1987). Treatment of fulminant hepatic failure with a continuous infusion of prostin VR (PGE1) (abstract). Hepatology. 7. 1104. 30 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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