Tea Shuvaeva

943 total citations
8 papers, 305 citations indexed

About

Tea Shuvaeva is a scholar working on Molecular Biology, Biomaterials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tea Shuvaeva has authored 8 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tea Shuvaeva's work include Redox biology and oxidative stress (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Trace Elements in Health (2 papers). Tea Shuvaeva is often cited by papers focused on Redox biology and oxidative stress (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Trace Elements in Health (2 papers). Tea Shuvaeva collaborates with scholars based in United States. Tea Shuvaeva's co-authors include Aron B. Fisher, Sheldon I. Feinstein, Yefim Manevich, Konda S. Reddy, Chandra Dodia, Altaf Kazi, Vladimir R. Muzykantov, Elizabeth D. Hood, Carlos H. Villa and Landis R. Walsh and has published in prestigious journals such as Cell, ACS Nano and The FASEB Journal.

In The Last Decade

Tea Shuvaeva

8 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tea Shuvaeva United States	6	219	51	39	37	37	8	305
Priyal Patel United States	8	147 0.7×	59 1.2×	74 1.9×	67 1.8×	12 0.3×	17	300
Neil C. Pomroy Canada	8	297 1.4×	45 0.9×	17 0.4×	38 1.0×	15 0.4×	10	443
Andreia F. Mósca Portugal	12	323 1.5×	44 0.9×	57 1.5×	11 0.3×	16 0.4×	14	495
Taylor A. Poor United States	8	217 1.0×	21 0.4×	17 0.4×	30 0.8×	12 0.3×	12	376
Christina Kousparou United Kingdom	7	160 0.7×	26 0.5×	22 0.6×	9 0.2×	10 0.3×	12	294
Gavin M. Traber United States	5	277 1.3×	39 0.8×	15 0.4×	9 0.2×	14 0.4×	9	370
Guang‐chou Tu United States	13	277 1.3×	48 0.9×	17 0.4×	11 0.3×	46 1.2×	17	466
Helene Jahn United States	4	237 1.1×	28 0.5×	19 0.5×	18 0.5×	18 0.5×	7	275
Jeffrey T. Morgan United States	10	350 1.6×	63 1.2×	18 0.5×	14 0.4×	30 0.8×	10	489
Jinmei Wu China	11	136 0.6×	19 0.4×	42 1.1×	18 0.5×	9 0.2×	34	342

Countries citing papers authored by Tea Shuvaeva

Since Specialization

Citations

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

Fields of papers citing papers by Tea Shuvaeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Shuvaeva

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

All Works

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8 of 8 papers shown

Wang, Zhicheng, Jia Nong, Marco E. Zamora, et al.. (2025). A percolation phase transition controls complement protein coating of surfaces. Cell. 188(15). 4058–4073.e25. 1 indexed citations

Glassman, Patrick M., Carlos H. Villa, Oscar A. Marcos‐Contreras, et al.. (2022). Targeted In Vivo Loading of Red Blood Cells Markedly Prolongs Nanocarrier Circulation. Bioconjugate Chemistry. 33(7). 1286–1294. 22 indexed citations

Ferguson, Laura T., Elizabeth D. Hood, Tea Shuvaeva, et al.. (2022). Dual Affinity to RBCs and Target Cells (DART) Enhances Both Organ- and Cell Type-Targeting of Intravascular Nanocarriers. ACS Nano. 16(3). 4666–4683. 41 indexed citations

Hood, Elizabeth D., Colin F. Greineder, Tea Shuvaeva, et al.. (2018). Vascular Targeting of Radiolabeled Liposomes with Bio-Orthogonally Conjugated Ligands: Single Chain Fragments Provide Higher Specificity than Antibodies. Bioconjugate Chemistry. 29(11). 3626–3637. 38 indexed citations

Zhou, Suiping, Yu‐Chin Lien, Tea Shuvaeva, et al.. (2012). Functional interaction of glutathione S-transferase pi and peroxiredoxin 6 in intact cells. The International Journal of Biochemistry & Cell Biology. 45(2). 401–407. 36 indexed citations

Rahaman, Hamidur, Suiping Zhou, Chandra Dodia, et al.. (2012). Phosphorylation of Prdx6 mediated by MAPkinase induces conformational change with concomitant increase in its phospholipase A ₂ activity. The FASEB Journal. 26(S1). 1 indexed citations

Manevich, Yefim, Tea Shuvaeva, Chandra Dodia, et al.. (2009). Binding of peroxiredoxin 6 to substrate determines differential phospholipid hydroperoxide peroxidase and phospholipase A2 activities. Archives of Biochemistry and Biophysics. 485(2). 139–149. 74 indexed citations

Manevich, Yefim, Konda S. Reddy, Tea Shuvaeva, Sheldon I. Feinstein, & Aron B. Fisher. (2007). Structure and phospholipase function of peroxiredoxin 6: identification of the catalytic triad and its role in phospholipid substrate binding. Journal of Lipid Research. 48(10). 2306–2318. 92 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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