T. Intrieri

489 total citations
2 papers, 2 citations indexed

About

T. Intrieri is a scholar working on Surgery, Transplantation and Oncology. According to data from OpenAlex, T. Intrieri has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Transplantation and 1 paper in Oncology. Recurrent topics in T. Intrieri's work include Transplantation: Methods and Outcomes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). T. Intrieri is often cited by papers focused on Transplantation: Methods and Outcomes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). T. Intrieri collaborates with scholars based in United States. T. Intrieri's co-authors include Michael B. Keller, Jeffrey B. Matthews, Helen Luikart, David Newman, Sean Agbor-Enoh, Hyesik Kong, T. Andargie, Steven D. Nathan, Moon Kyoo Jang and Pali D. Shah and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine and The Journal of Heart and Lung Transplantation.

In The Last Decade

T. Intrieri

1 paper receiving 2 citations

Peers — A (Enhanced Table)

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

Name	h		Papers	Cites
T. Intrieri United States	1	2	2	2
X. L. Luo China	1	2 1.0×	2	3
Delaram Narimani Davani Iran	1	2 1.0×	3	4
J. F. Qiu China	1	2 1.0×	3	5
Aldéric Fraslin France	1	2 1.0×	3	2
Nerea Castillo Flores Spain	2	2 1.0×	2	3
K Scott Australia	2	2 1.0×	2	5
Junhe Li China	2	2 1.0×	3	3
A Subocius Lithuania	2	2 1.0×	3	3
Ali Ababneh Jordan	1	2 1.0×	2	2
Xiaoming Yang United Kingdom	1	2 1.0×	2	2

Countries citing papers authored by T. Intrieri

Since Specialization

Citations

This map shows the geographic impact of T. Intrieri'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 T. Intrieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Intrieri more than expected).

Fields of papers citing papers by T. Intrieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Intrieri

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

All Works

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2 of 2 papers shown

Kong, Heidi H., Helen Luikart, T. Intrieri, et al.. (2025). Levels of Cell-free DNA at the Diagnosis of Antibody-mediated Rejection Predict Poor Outcomes in Lung Transplant Recipients. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A3341–A3341.

Keller, Michael B., David Newman, Pali D. Shah, et al.. (2025). Molecular criteria for pulmonary antibody-mediated rejection are associated with an increased risk of allograft failure. The Journal of Heart and Lung Transplantation. 44(10). 1535–1542. 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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