Tamir Kanias

3.8k total citations · 1 hit paper
70 papers, 2.4k citations indexed

About

Tamir Kanias is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Tamir Kanias has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hematology, 40 papers in Physiology and 27 papers in Genetics. Recurrent topics in Tamir Kanias's work include Erythrocyte Function and Pathophysiology (36 papers), Blood groups and transfusion (32 papers) and Hemoglobinopathies and Related Disorders (27 papers). Tamir Kanias is often cited by papers focused on Erythrocyte Function and Pathophysiology (36 papers), Blood groups and transfusion (32 papers) and Hemoglobinopathies and Related Disorders (27 papers). Tamir Kanias collaborates with scholars based in United States, Canada and United Kingdom. Tamir Kanias's co-authors include Jason P. Acker, Mark T. Gladwin, Daniel B. Kim‐Shapiro, Michael P. Busch, Grier P. Page, Mars Stone, Chenell Donadee, Angelo D’Alessandro, Steve Kleinman and James C. Zimring and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

Tamir Kanias

69 papers receiving 2.4k citations

Hit Papers

Nitric Oxide Scavenging b... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamir Kanias United States 27 1.1k 807 796 695 461 70 2.4k
Anastasios G. Kriebardis Greece 26 1.3k 1.2× 590 0.7× 628 0.8× 344 0.5× 681 1.5× 96 2.4k
Thomas J. Raife United States 23 343 0.3× 292 0.4× 563 0.7× 195 0.3× 308 0.7× 67 1.5k
Yamaja Setty United States 31 667 0.6× 39 0.0× 1.1k 1.4× 1.5k 2.1× 501 1.1× 58 2.5k
Horst Pagel Germany 17 260 0.2× 95 0.1× 415 0.5× 145 0.2× 239 0.5× 40 1.2k
BH Lubin United States 15 608 0.5× 84 0.1× 451 0.6× 611 0.9× 439 1.0× 24 1.5k
Maxwell P. Westerman United States 28 553 0.5× 36 0.0× 648 0.8× 801 1.2× 498 1.1× 92 2.0k
J. V. Lloyd Australia 29 107 0.1× 82 0.1× 1.1k 1.4× 280 0.4× 240 0.5× 98 2.1k
François M. Booyse United States 29 224 0.2× 202 0.3× 547 0.7× 98 0.1× 577 1.3× 74 2.1k
Lauren N. Bell United States 19 231 0.2× 64 0.1× 106 0.1× 75 0.1× 653 1.4× 25 1.9k
Marie Frimat France 16 168 0.1× 24 0.0× 253 0.3× 177 0.3× 336 0.7× 45 1.4k

Countries citing papers authored by Tamir Kanias

Since Specialization
Citations

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

Fields of papers citing papers by Tamir Kanias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamir Kanias

This figure shows the co-authorship network connecting the top 25 collaborators of Tamir Kanias. A scholar is included among the top collaborators of Tamir Kanias 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 Tamir Kanias. Tamir Kanias 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.
Deng, Xutao, Clara Di Germanio, Pamela Milani, et al.. (2025). Donor genetics and storage conditions influence mitochondrial DNA and extracellular vesicle levels in RBC units. JCI Insight. 10(14). 1 indexed citations
3.
Kanias, Tamir, Kathleen Kelly, Deborah Lee, et al.. (2025). Optimization of biotinylation protocol for next generation studies of red blood cell survival after transfusion. Transfusion. 65(7). 1360–1372. 1 indexed citations
4.
5.
Phan, C.T., et al.. (2024). Red cell concentrates from teen male donors contain poor‐quality biologically older cells. Vox Sanguinis. 119(5). 417–427. 7 indexed citations
6.
Xu, April, et al.. (2024). Estimated median density identifies donor age and sex differences in red blood cell biological age. Transfusion. 64(4). 705–715. 7 indexed citations
7.
Chitrakar, Alisha, et al.. (2024). Stored platelet hemostatic phenotype and function is not altered when donors are on testosterone replacement therapy. Transfusion. 64(8). 1520–1532. 1 indexed citations
8.
Wang, Ling, Elizabeth R. Rochon, Sébastien Gingras, et al.. (2024). Functional effects of an African glucose‐6‐phosphate dehydrogenase (G6PD) polymorphism (Val68Met) on red blood cell hemolytic propensity and post‐transfusion recovery. Transfusion. 64(4). 615–626. 3 indexed citations
9.
Cloutier, Marc, Fabrice Cognasse, Hind Hamzeh‐Cognasse, et al.. (2023). Quality assessment of red blood cell concentrates from blood donors at the extremes of the age spectrum: The BEST collaborative study. Transfusion. 63(8). 1506–1518. 12 indexed citations
10.
Fang, Fang, Kathleen Kelly, Derek Sinchar, et al.. (2022). Erythrocyte mitogen-activated protein kinases mediate hemolytic events under osmotic and oxidative stress and in hemolytic diseases. Cellular Signalling. 99. 110450–110450. 8 indexed citations
11.
Roubinian, Nareg H., Sarah E. Reese, Fang Fang, et al.. (2021). Donor genetic and nongenetic factors affecting red blood cell transfusion effectiveness. JCI Insight. 7(1). 47 indexed citations
12.
Page, Grier P., Tamir Kanias, Yuelong Guo, et al.. (2021). Multiple-ancestry genome-wide association study identifies 27 loci associated with measures of hemolysis following blood storage. Journal of Clinical Investigation. 131(13). 57 indexed citations
13.
DeSimone, Robert A., Catherine Lee, Tamir Kanias, et al.. (2020). Additive effects of blood donor smoking and gamma irradiation on outcome measures of red blood cell transfusion. Transfusion. 60(6). 1175–1182. 17 indexed citations
14.
Donnenberg, Albert D., et al.. (2019). Improved quantitative detection of biotin‐labeled red blood cells by flow cytometry. Transfusion. 59(8). 2691–2698. 9 indexed citations
15.
Guo, Yuelong, Michael P. Busch, Mark Seielstad, et al.. (2018). Development and evaluation of a transfusion medicine genome wide genotyping array. Transfusion. 59(1). 101–111. 26 indexed citations
16.
Lanteri, Marion C., Tamir Kanias, Sheila M. Keating, et al.. (2018). Intradonor reproducibility and changes in hemolytic variables during red blood cell storage: results of recall phase of the REDS‐III RBC‐Omics study. Transfusion. 59(1). 79–88. 40 indexed citations
17.
Risbano, Michael G., Tamir Kanias, Chenell Donadee, et al.. (2015). Effects of Aged Stored Autologous Red Blood Cells on Human Endothelial Function. American Journal of Respiratory and Critical Care Medicine. 192(10). 1223–1233. 54 indexed citations
18.
Cortés‐Puch, Irene, Dong Wang, Junfeng Sun, et al.. (2013). Washing older blood units before transfusion reduces plasma iron and improves outcomes in experimental canine pneumonia. Blood. 123(9). 1403–1411. 53 indexed citations
19.
Kanias, Tamir, Ken K. Y. Wong, & Jason P. Acker. (2007). Determination of Lipid Peroxidation in Desiccated Red Blood Cells. 5(3). 165–174. 15 indexed citations
20.
Kanias, Tamir & Jason P. Acker. (2006). Mammalian Cell Desiccation: Facing The Challenges. 4(4). 253–277. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026