Tanya N. Mayadas

11.2k total citations · 3 hit papers
80 papers, 8.9k citations indexed

About

Tanya N. Mayadas is a scholar working on Immunology, Immunology and Allergy and Hematology. According to data from OpenAlex, Tanya N. Mayadas has authored 80 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Immunology, 35 papers in Immunology and Allergy and 14 papers in Hematology. Recurrent topics in Tanya N. Mayadas's work include Cell Adhesion Molecules Research (34 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers) and Immune Response and Inflammation (17 papers). Tanya N. Mayadas is often cited by papers focused on Cell Adhesion Molecules Research (34 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers) and Immune Response and Inflammation (17 papers). Tanya N. Mayadas collaborates with scholars based in United States, Germany and Japan. Tanya N. Mayadas's co-authors include Xavier Culleré, Clifford A. Lowell, Angela Coxon, Florencia Rosetti, Naotake Tsuboi, Volker Vielhauer, Ulrich H. von Andrian, George Stavrakis, Junichi Hirahashi and Tao Tang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tanya N. Mayadas

80 papers receiving 8.8k 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.

The Multifaceted Functions of Neutrophils

2013 982 citations Tanya N. Mayadas, Xavier Culleré et al. profile →
A Novel Role for the β2 Integrin CD11b/CD18 in Neutrophil Apoptosis: A Homeostatic Mechanism in Inflammation

1996 548 citations Angela Coxon, Arlene H. Sharpe et al. profile →
Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetes

2012 367 citations Florencia Rosetti, Xavier Culleré et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanya N. Mayadas United States	52	4.6k	2.2k	1.5k	1.1k	966	80	8.9k
Jörg Köhl Germany	59	6.4k 1.4×	2.4k 1.1×	990 0.7×	855 0.8×	650 0.7×	197	10.8k
Renato C. Monteiro France	55	4.6k 1.0×	1.9k 0.9×	549 0.4×	1.1k 1.0×	2.3k 2.4×	173	8.9k
Marc Monestier United States	45	7.0k 1.5×	2.8k 1.3×	685 0.5×	956 0.9×	412 0.4×	115	10.3k
Jack B. Cowland Denmark	40	3.1k 0.7×	2.4k 1.1×	491 0.3×	602 0.6×	1.1k 1.1×	80	7.5k
Attila Mócsai Hungary	44	5.4k 1.2×	3.4k 1.6×	1.8k 1.2×	856 0.8×	203 0.2×	113	9.7k
Dimitrios T. Boumpas Greece	69	7.4k 1.6×	2.6k 1.2×	423 0.3×	1.4k 1.3×	1.7k 1.8×	317	15.5k
Reinhard Voll Germany	54	8.0k 1.7×	4.5k 2.0×	491 0.3×	747 0.7×	477 0.5×	244	13.7k
Curtis B. Wilson United States	52	3.5k 0.8×	2.2k 1.0×	1.1k 0.7×	743 0.7×	2.9k 3.0×	154	10.2k
Richard M. Pope United States	61	5.3k 1.2×	3.9k 1.8×	1.1k 0.8×	1.1k 1.0×	224 0.2×	195	12.2k
Gilles Kaplanski France	34	2.5k 0.5×	1.9k 0.9×	340 0.2×	994 0.9×	384 0.4×	145	6.4k

Countries citing papers authored by Tanya N. Mayadas

Since Specialization

Citations

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

Fields of papers citing papers by Tanya N. Mayadas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya N. Mayadas. 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 Tanya N. Mayadas. The network helps show where Tanya N. Mayadas may publish in the future.

Co-authorship network of co-authors of Tanya N. Mayadas

This figure shows the co-authorship network connecting the top 25 collaborators of Tanya N. Mayadas. A scholar is included among the top collaborators of Tanya N. Mayadas 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 Tanya N. Mayadas. Tanya N. Mayadas 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

Mysore, Vijayashree, Kazuhiro Furuhashi, Jatin Arora, et al.. (2022). Monocytes transition to macrophages within the inflamed vasculature via monocyte CCR2 and endothelial TNFR2. The Journal of Experimental Medicine. 219(5). 47 indexed citations

Saggu, Gurpanna, Koshu Okubo, Yunfeng Chen, et al.. (2018). Cis interaction between sialylated FcγRIIA and the αI-domain of Mac-1 limits antibody-mediated neutrophil recruitment. Nature Communications. 9(1). 5058–5058. 44 indexed citations

Okubo, Koshu, Miho Kurosawa, Mako Kamiya, et al.. (2018). Macrophage extracellular trap formation promoted by platelet activation is a key mediator of rhabdomyolysis-induced acute kidney injury. Nature Medicine. 24(2). 232–238. 178 indexed citations

Nishi, Hiroshi, Kazuhiro Furuhashi, Xavier Culleré, et al.. (2017). Neutrophil FcγRIIA promotes IgG-mediated glomerular neutrophil capture via Abl/Src kinases. Journal of Clinical Investigation. 127(10). 3810–3826. 50 indexed citations

Li, Xun, Xavier Culleré, Hiroshi Nishi, et al.. (2016). PKC-δ activation in neutrophils promotes fungal clearance. Journal of Leukocyte Biology. 100(3). 581–588. 23 indexed citations

Yoshida, Nobuya, Denis Comte, Masayuki Mizui, et al.. (2016). ICER is requisite for Th17 differentiation. Nature Communications. 7(1). 12993–12993. 65 indexed citations

Al‐Lamki, Rafia S. & Tanya N. Mayadas. (2014). TNF receptors: signaling pathways and contribution to renal dysfunction. Kidney International. 87(2). 281–296. 164 indexed citations

Crispín, José C., Sokratis A. Apostolidis, Florencia Rosetti, et al.. (2012). Cutting Edge: Protein Phosphatase 2A Confers Susceptibility to Autoimmune Disease through an IL-17–Dependent Mechanism. The Journal of Immunology. 188(8). 3567–3571. 49 indexed citations

Rosetti, Florencia, Naotake Tsuboi, Kan Chen, et al.. (2012). Human Lupus Serum Induces Neutrophil-Mediated Organ Damage in Mice That Is Enabled by Mac-1 Deficiency. The Journal of Immunology. 189(7). 3714–3723. 45 indexed citations

10.

Lichtnekert, Julia, Volker Vielhauer, Daniel Zecher, et al.. (2009). Trif is not required for immune complex glomerulonephritis: dying cells activate mesangial cells via Tlr2/Myd88 rather than Tlr3/Trif. American Journal of Physiology-Renal Physiology. 296(4). F867–F874. 29 indexed citations

11.

Utomo, Ahmad Rusdan Handoyo, Junichi Hirahashi, Divya Mekala, et al.. (2008). Requirement for Vav Proteins in Post-Recruitment Neutrophil Cytotoxicity in IgG but Not Complement C3-Dependent Injury. The Journal of Immunology. 180(9). 6279–6287. 17 indexed citations

12.

Menke, Julia, Julie A. Lucas, Geraldine C. Zeller, et al.. (2007). Programmed Death 1 Ligand (PD-L) 1 and PD-L2 Limit Autoimmune Kidney Disease: Distinct Roles. The Journal of Immunology. 179(11). 7466–7477. 65 indexed citations

13.

Utomo, Ahmad Rusdan Handoyo, Xavier Culleré, Michael Glogauer, Wojciech Swat, & Tanya N. Mayadas. (2006). Vav Proteins in Neutrophils Are Required for FcγR-Mediated Signaling to Rac GTPases and Nicotinamide Adenine Dinucleotide Phosphate Oxidase Component p40(phox). The Journal of Immunology. 177(9). 6388–6397. 70 indexed citations

14.

Liu, Zhi, Ming‐Lang Zhao, Ning Li, Luis A. Díaz, & Tanya N. Mayadas. (2005). Differential roles for β2 integrins in experimental autoimmune bullous pemphigoid. Blood. 107(3). 1063–1069. 33 indexed citations

15.

Combes, Valéry, Alexander R. Rosenkranz, Mireille Redard, et al.. (2004). Pathogenic Role of P-Selectin in Experimental Cerebral Malaria. American Journal Of Pathology. 164(3). 781–786. 49 indexed citations

16.

Henneke, Philipp, Osamu Takeuchi, Richard Malley, et al.. (2002). Cellular Activation, Phagocytosis, and Bactericidal Activity Against Group B Streptococcus Involve Parallel Myeloid Differentiation Factor 88-Dependent and Independent Signaling Pathways. The Journal of Immunology. 169(7). 3970–3977. 120 indexed citations

17.

Rosenkranz, Alexander R., Angela Coxon, Marcus Maurer, et al.. (1998). Cutting Edge: Impaired Mast Cell Development and Innate Immunity in Mac-1 (CD11b/CD18, CR3)-Deficient Mice. The Journal of Immunology. 161(12). 6463–6467. 74 indexed citations

18.

Johnson, Robert C., Zhao Dong, José M. Ordovás, et al.. (1997). Absence of P-selectin delays fatty streak formation in mice.. Journal of Clinical Investigation. 99(5). 1037–1043. 186 indexed citations

19.

Tang, Tao, Alexander R. Rosenkranz, Karel J.M. Assmann, et al.. (1997). A Role for Mac-1 (CDIIb/CD18) in Immune Complex–stimulated Neutrophil Function In Vivo: Mac-1 Deficiency Abrogates Sustained Fcγ Receptor–dependent Neutrophil Adhesion and Complement-dependent Proteinuria in Acute Glomerulonephritis. The Journal of Experimental Medicine. 186(11). 1853–1863. 181 indexed citations

20.

Mayadas, Tanya N.. (1995). Gene knockout on P-selectin: Its biology and function. Trends in Cardiovascular Medicine. 5(4). 149–157. 7 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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