Sheeba Mathew

1.1k total citations
8 papers, 373 citations indexed

About

Sheeba Mathew is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Sheeba Mathew has authored 8 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Virology and 2 papers in Infectious Diseases. Recurrent topics in Sheeba Mathew's work include HIV Research and Treatment (3 papers), CRISPR and Genetic Engineering (2 papers) and Asthma and respiratory diseases (2 papers). Sheeba Mathew is often cited by papers focused on HIV Research and Treatment (3 papers), CRISPR and Genetic Engineering (2 papers) and Asthma and respiratory diseases (2 papers). Sheeba Mathew collaborates with scholars based in United States, Australia and Canada. Sheeba Mathew's co-authors include Joseph Vallone, Venkat Subramaniam, Eric S. Silverman, Scott T. Weiss, Stephanie A. Shore, Lyle J. Palmer, Benjamin A. Raby, Débora S. Faffe, Xuhong Wu and Ganjam V. Kalpana and has published in prestigious journals such as Nature Communications, American Journal of Respiratory and Critical Care Medicine and Journal of Allergy and Clinical Immunology.

In The Last Decade

Sheeba Mathew

8 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheeba Mathew United States	7	144	106	90	78	52	8	373
Curtis L. Gabriel United States	9	110 0.8×	94 0.9×	20 0.2×	238 3.1×	30 0.6×	20	525
P. R. Dunbar New Zealand	12	111 0.8×	35 0.3×	45 0.5×	424 5.4×	12 0.2×	15	755
Cruz Velasco‐Gonzalez United States	12	139 1.0×	17 0.2×	34 0.4×	179 2.3×	32 0.6×	32	468
Luiz Balthazar Saldanha Brazil	11	162 1.1×	52 0.5×	55 0.6×	23 0.3×	37 0.7×	27	458
Garett Dunsmore Canada	10	95 0.7×	106 1.0×	25 0.3×	301 3.9×	26 0.5×	17	455
Renu Jain United States	10	272 1.9×	78 0.7×	49 0.5×	31 0.4×	203 3.9×	25	705
Pravat Kumar Thatoi India	5	63 0.4×	27 0.3×	23 0.3×	194 2.5×	9 0.2×	16	368
Elizabeth Clarke United States	9	88 0.6×	79 0.7×	33 0.4×	286 3.7×	7 0.1×	13	518
Marine Baron France	11	76 0.5×	22 0.2×	16 0.2×	137 1.8×	10 0.2×	34	523
H. Wächter Austria	8	44 0.3×	16 0.2×	30 0.3×	67 0.9×	55 1.1×	19	291

Countries citing papers authored by Sheeba Mathew

Since Specialization

Citations

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

Fields of papers citing papers by Sheeba Mathew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheeba Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Sheeba Mathew. A scholar is included among the top collaborators of Sheeba Mathew 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 Sheeba Mathew. Sheeba Mathew 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

1.

Mathew, Sheeba, et al.. (2022). Validation of automated fluorescent‐based technology for measuring total nucleated cell viability of hematopoietic progenitor cell products. Transfusion. 62(4). 848–856. 5 indexed citations

2.

Wu, Xuhong, Liming Qiu, Sheeba Mathew, et al.. (2021). INI1/SMARCB1 Rpt1 domain mimics TAR RNA in binding to integrase to facilitate HIV-1 replication. Nature Communications. 12(1). 11 indexed citations

3.

Mathew, Sheeba, Minh Anh Nguyen, Xuhong Wu, et al.. (2013). INI1/hSNF5-interaction defective HIV-1 IN mutants exhibit impaired particle morphology, reverse transcription and integration in vivo. Retrovirology. 10(1). 66–66. 14 indexed citations

4.

Das, Supratik, Sheeba Mathew, Xuhong Wu, et al.. (2009). Recruitment of a SAP18-HDAC1 Complex into HIV-1 Virions and Its Requirement for Viral Replication. PLoS Pathogens. 5(6). e1000463–e1000463. 51 indexed citations

5.

Mathew, Sheeba, et al.. (2005). Family support group in psychosocial rehabilitation. Indian Journal of Psychiatry. 47(3). 160–160. 9 indexed citations

6.

Silverman, Eric S., David T. Breault, Joseph Vallone, et al.. (2004). Corticotropin-releasing hormone deficiency increases allergen-induced airway inflammation in a mouse model of asthma. Journal of Allergy and Clinical Immunology. 114(4). 747–754. 50 indexed citations

7.

Hjoberg, Josephine, Louis Le, Amy Imrich, et al.. (2004). Induction of early growth-response factor 1 by platelet-derived growth factor in human airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 286(4). L817–L825. 22 indexed citations

8.

Silverman, Eric S., Lyle J. Palmer, Venkat Subramaniam, et al.. (2003). Transforming Growth Factor-β1 Promoter Polymorphism C–509T Is Associated with Asthma. American Journal of Respiratory and Critical Care Medicine. 169(2). 214–219. 211 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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