Maria Bettinotti

3.5k total citations · 1 hit paper
52 papers, 2.2k citations indexed

About

Maria Bettinotti is a scholar working on Immunology, Transplantation and Hematology. According to data from OpenAlex, Maria Bettinotti has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 11 papers in Transplantation and 10 papers in Hematology. Recurrent topics in Maria Bettinotti's work include T-cell and B-cell Immunology (20 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (14 papers). Maria Bettinotti is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (14 papers). Maria Bettinotti collaborates with scholars based in United States, Germany and France. Maria Bettinotti's co-authors include Francesco M. Marincola, M. Shirin Sabbaghian, David H. Schwartz, W. Lesley Shupert, Mark Connors, Stephen A. Migueles, Sara Selig, John Sullivan, David F. Stroncek and Lorraine Caruccio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Maria Bettinotti

50 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

HLA B*5701 is highly associated with restriction of virus replication in a subgroup of HIV-infected long term nonprogressors

2000 771 citations Maria Bettinotti, Francesco M. Marincola et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Bettinotti United States	25	1.4k	675	473	404	311	52	2.2k
David Stephany United States	21	1.7k 1.2×	257 0.4×	401 0.8×	404 1.0×	247 0.8×	35	2.6k
Mark Bonyhadi United States	27	2.6k 1.8×	864 1.3×	716 1.5×	531 1.3×	387 1.2×	44	3.8k
Sergey Yurasov United States	20	2.8k 1.9×	490 0.7×	421 0.9×	696 1.7×	295 0.9×	38	4.0k
Denis Hudrisier France	31	2.3k 1.6×	126 0.2×	349 0.7×	530 1.3×	269 0.9×	54	2.8k
Christian Knabenhans Switzerland	7	1.0k 0.7×	676 1.0×	236 0.5×	476 1.2×	348 1.1×	10	1.9k
Olga Blau Germany	14	504 0.3×	851 1.3×	241 0.5×	645 1.6×	513 1.6×	39	1.9k
Lela Kardava United States	23	1.2k 0.8×	325 0.5×	251 0.5×	462 1.1×	232 0.7×	36	2.0k
Antonio Carúz Spain	23	803 0.6×	315 0.5×	625 1.3×	450 1.1×	443 1.4×	74	2.7k
Michela Locci United States	13	1.3k 0.9×	220 0.3×	251 0.5×	256 0.6×	253 0.8×	21	1.8k
Kim L. Good‐Jacobson Australia	25	2.7k 1.9×	122 0.2×	458 1.0×	499 1.2×	185 0.6×	46	3.4k

Countries citing papers authored by Maria Bettinotti

Since Specialization

Citations

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

Fields of papers citing papers by Maria Bettinotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bettinotti

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

All Works

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20 of 20 papers shown

Xu, Qingyong, Mohamed Elrefaei, Jean‐Luc Taupin, et al.. (2023). Chronic lung allograft dysfunction is associated with an increased number of non-HLA antibodies. The Journal of Heart and Lung Transplantation. 43(4). 663–672. 8 indexed citations

Paola, Luciano de, et al.. (2023). HLA alleles and antiseizure medication‐induced cutaneous reactions in Brazil: A case‐control study. HLA. 102(3). 269–277. 3 indexed citations

Shapira, Guy, David W. Mohr, Maria Bettinotti, et al.. (2023). Genomic Markers Associated with Cytomegalovirus DNAemia in Kidney Transplant Recipients. Viruses. 15(11). 2227–2227. 1 indexed citations

Zahurak, Marianna, Maria Bettinotti, Syed Abbas Ali, et al.. (2021). Nonmyeloablative, HLA-Mismatched Unrelated Peripheral Blood Transplantation with High-Dose Post-Transplantation Cyclophosphamide. Transplantation and Cellular Therapy. 27(11). 909.e1–909.e6. 10 indexed citations

Kant, Sam, Dhiren Kumar, Irfan Moinuddin, et al.. (2021). Utility of Donor-Derived Cell-Free DNA in Detecting ABMR in Patients With AT1R Antibodies. Kidney International Reports. 6(10). 2706–2708. 4 indexed citations

Imus, Philip, Amanda L. Blackford, Maria Bettinotti, et al.. (2019). Severe Cytokine Release Syndrome after Haploidentical Peripheral Blood Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 25(12). 2431–2437. 56 indexed citations

Cappelli, Laura C., M. Tevfik Dorak, Maria Bettinotti, Clifton O. Bingham, & Ami A. Shah. (2018). Association of HLA-DRB1 shared epitope alleles and immune checkpoint inhibitor-induced inflammatory arthritis. Lara D. Veeken. 58(3). 476–480. 82 indexed citations

McCurdy, Shannon R., Christopher G. Kanakry, Hua-Ling Tsai, et al.. (2017). Grade II Acute Graft-versus-Host Disease and Higher Nucleated Cell Graft Dose Improve Progression-Free Survival after HLA-Haploidentical Transplant with Post-Transplant Cyclophosphamide. Biology of Blood and Marrow Transplantation. 24(2). 343–352. 46 indexed citations

Bettinotti, Maria, et al.. (2007). CMV pp65 and IE-1 T cell epitopes recognized by healthy subjects. Journal of Translational Medicine. 5(1). 17–17. 58 indexed citations

10.

Lim, Jong‐Baeck, Maurizio Provenzano, Oh Hun Kwon, et al.. (2006). Identification of HLA-A33-restricted CMV pp65 epitopes as common targets for CD8+ CMV-specific cytotoxic T lymphocytes. Experimental Hematology. 34(3). 296–307. 11 indexed citations

11.

Caruccio, Lorraine, et al.. (2006). The gene overexpressed in polycythemia rubra vera, PRV‐1, and the gene encoding a neutrophil alloantigen, NB1, are alleles of a single gene, CD177, in chromosome band 19q13.31. Transfusion. 46(3). 441–447. 27 indexed citations

12.

Prat, Elisabetta, Utano Tomaru, Lídia Sabater, et al.. (2005). HLA-DRB5*0101 and -DRB1*1501 expression in the multiple sclerosis-associated HLA-DR15 haplotype. Journal of Neuroimmunology. 167(1-2). 108–119. 54 indexed citations

13.

Caruccio, Lorraine, Kelly Walkovich, Maria Bettinotti, Randy M. Schuller, & David Stroncek. (2004). CD177 polymorphisms: correlation between high‐frequency single nucleotide polymorphisms and neutrophil surface protein expression. Transfusion. 44(1). 77–82. 32 indexed citations

14.

Stroncek, David F., Lorraine Caruccio, & Maria Bettinotti. (2004). CD177: A member of the Ly-6 gene superfamily involved with neutrophil proliferation and polycythemia vera. Journal of Translational Medicine. 2(1). 8–8. 68 indexed citations

15.

Bettinotti, Maria, Monica C. Panelli, Simone Mocellin, et al.. (2003). Clinical and immunological evaluation of patients with metastatic melanoma undergoing immunization with the HLA‐Cw*0702‐associated epitope MAGE‐A12:170–178. International Journal of Cancer. 105(2). 210–216. 34 indexed citations

16.

Provenzano, Maurizio, Jong‐Baeck Lim, Simone Mocellin, et al.. (2003). The matrix protein pp65_341‐350: a peptide that induces ex vivo stimulation and in vitro expansion of CMV‐specific CD8+ T cells in subjects bearing either HLA‐A*2402 or A*0101 allele. Transfusion. 43(11). 1567–1574. 14 indexed citations

17.

Caruccio, Lorraine, Maria Bettinotti, Kazuhiko Matsuo, Victoria R. Sharon, & David F. Stroncek. (2003). Expression of human neutrophil antigen‐2a (NB1) is increased in pregnancy. Transfusion. 43(3). 357–363. 30 indexed citations

18.

Bettinotti, Maria, et al.. (2000). Frequency of Human Leukocyte Antigen-A 24 Alleles in Patients With Melanoma Determined by Human Leukocyte Antigen-A Sequence-Based Typing. Journal of Immunotherapy. 23(2). 282–287. 11 indexed citations

19.

Panelli, Monica C., Maria Bettinotti, Galen A. Ohnmacht, et al.. (2000). A Tumor-Infiltrating Lymphocyte from a Melanoma Metastasis with Decreased Expression of Melanoma Differentiation Antigens Recognizes MAGE-12. The Journal of Immunology. 164(8). 4382–4392. 44 indexed citations

20.

Bettinotti, Maria, Christina J. Kim, Matthew M. Roden, et al.. (1998). Stringent Allele/Epitope Requirements for MART-1/Melan A Immunodominance: Implications for Peptide-Based Immunotherapy. The Journal of Immunology. 161(2). 877–889. 43 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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