Tamar Tomassian

477 total citations
9 papers, 401 citations indexed

About

Tamar Tomassian is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Tamar Tomassian has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 1 paper in Cell Biology. Recurrent topics in Tamar Tomassian's work include Signaling Pathways in Disease (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Tamar Tomassian is often cited by papers focused on Signaling Pathways in Disease (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Tamar Tomassian collaborates with scholars based in United States, France and Australia. Tamar Tomassian's co-authors include M. Carrie Miceli, June L. Round, Min Zhang, Lisa A. Humphries, Viresh P. Patel, Scot D. Liu, Stephen P. Schoenberger, Paul R. Mittelstadt, M. Carrie Miceli and Oscar Silva and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Nature Immunology.

In The Last Decade

Tamar Tomassian

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamar Tomassian United States	8	276	217	79	42	33	9	401
Faruk Sacirbegovic Australia	9	292 1.1×	160 0.7×	85 1.1×	78 1.9×	27 0.8×	13	467
Miyuki Nishimura Japan	6	140 0.5×	203 0.9×	52 0.7×	72 1.7×	42 1.3×	7	402
Alon Krispin Israel	9	188 0.7×	180 0.8×	65 0.8×	33 0.8×	25 0.8×	10	419
Wolfgang M. Rohn United States	9	275 1.0×	152 0.7×	73 0.9×	102 2.4×	12 0.4×	9	465
Christine Kinnon United Kingdom	9	236 0.9×	114 0.5×	61 0.8×	49 1.2×	70 2.1×	15	394
Akihiro Minami Japan	12	77 0.3×	179 0.8×	50 0.6×	54 1.3×	14 0.4×	21	331
Claudia Seelenmeyer Germany	6	200 0.7×	294 1.4×	105 1.3×	35 0.8×	14 0.4×	6	422
Hyoungjun Ham United States	8	149 0.5×	81 0.4×	49 0.6×	31 0.7×	14 0.4×	13	246
Nikolai Netuschil Germany	8	322 1.2×	178 0.8×	106 1.3×	61 1.5×	6 0.2×	8	491
K Miyakawa Japan	5	174 0.6×	136 0.6×	37 0.5×	85 2.0×	10 0.3×	10	351

Countries citing papers authored by Tamar Tomassian

Since Specialization

Citations

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

Fields of papers citing papers by Tamar Tomassian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Tomassian

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

All Works

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9 of 9 papers shown

Annable, Tami, et al.. (2014). Using Poly I:C as an adjuvant does not induce or exacerbate models of systemic lupus erythematosus. Autoimmunity. 48(1). 29–39. 8 indexed citations

Humphries, Lisa A., Meredith H. Shaffer, Faruk Sacirbegovic, et al.. (2012). Characterization of In Vivo Dlg1 Deletion on T Cell Development and Function. PLoS ONE. 7(9). e45276–e45276. 22 indexed citations

Tomassian, Tamar, Lisa A. Humphries, Scot D. Liu, et al.. (2011). Caveolin-1 Orchestrates TCR Synaptic Polarity, Signal Specificity, and Function in CD8 T Cells. The Journal of Immunology. 187(6). 2993–3002. 45 indexed citations

Liu, Scot D., Tamar Tomassian, Kevin W. Bruhn, et al.. (2009). Galectin-1 Tunes TCR Binding and Signal Transduction to Regulate CD8 Burst Size. The Journal of Immunology. 182(9). 5283–5295. 37 indexed citations

Liu, Scot D., Chan C. Whiting, Tamar Tomassian, et al.. (2008). Endogenous galectin-1 enforces class I–restricted TCR functional fate decisions in thymocytes. Blood. 112(1). 120–130. 42 indexed citations

Whiting, Chan C., Tamar Tomassian, Mabel Pang, et al.. (2008). Endogenous galectin‐1 enforces class I‐restricted TCR functional fate decisions in thymocytes. The FASEB Journal. 22(S1). 2 indexed citations

Round, June L., Lisa A. Humphries, Tamar Tomassian, et al.. (2006). Scaffold protein Dlgh1 coordinates alternative p38 kinase activation, directing T cell receptor signals toward NFAT but not NF-κB transcription factors. Nature Immunology. 8(2). 154–161. 96 indexed citations

Zhang, Min, Miriana Moran, June L. Round, et al.. (2005). CD45 Signals outside of Lipid Rafts to Promote ERK Activation, Synaptic Raft Clustering, and IL-2 Production. The Journal of Immunology. 174(3). 1479–1490. 49 indexed citations

Round, June L., Tamar Tomassian, Min Zhang, et al.. (2005). Dlgh1 coordinates actin polymerization, synaptic T cell receptor and lipid raft aggregation, and effector function in T cells. The Journal of Experimental Medicine. 201(3). 419–430. 100 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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