Supriya Munshaw

1.5k total citations
18 papers, 479 citations indexed

About

Supriya Munshaw is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Supriya Munshaw has authored 18 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Supriya Munshaw's work include HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HIV/AIDS Research and Interventions (4 papers). Supriya Munshaw is often cited by papers focused on HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HIV/AIDS Research and Interventions (4 papers). Supriya Munshaw collaborates with scholars based in United States, Uganda and Singapore. Supriya Munshaw's co-authors include Thomas B. Kepler, Stuart C. Ray, Hua‐Xin Liao, Ruijun Zhang, M. Anthony Moody, Barton F. Haynes, Justin R. Bailey, Katherine M. Buckley, William O. Osburn and L. Courtney Smith and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Supriya Munshaw

18 papers receiving 474 citations

Peers

Supriya Munshaw

IMMUN

VIROL

RNMI

EPIDE

Sylvie Schmidt France

Rebecca LaFond United States

Frederick H. Jaeger United States

M. Kronenberg United States

L Mathiesen Denmark

Samir K. Lakhashe United States

Thomas Decoville France

Nicole L. Yates United States

Maciej Paluch United States

Tatsumi Arichi Japan

Sylvie Schmidt France

Supriya Munshaw

348 ×1.9

IMMUN

360 ×2.6

VIROL

155 ×1.2

RNMI

110 ×0.9

EPIDE

176 ×1.5

Citations per year, relative to Supriya Munshaw Supriya Munshaw (= 1×) peers Sylvie Schmidt

Countries citing papers authored by Supriya Munshaw

Since Specialization

Citations

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

Fields of papers citing papers by Supriya Munshaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Munshaw

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

All Works

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18 of 18 papers shown

Gould, Neda F, et al.. (2020). Use of a Mobile App to Augment Psychotherapy in a Community Psychiatric Clinic: Feasibility and Fidelity Trial. JMIR Formative Research. 4(7). e17722–e17722. 9 indexed citations

Munshaw, Supriya, et al.. (2018). The influence of human capital and perceived university support on patent applications of biomedical investigators. The Journal of Technology Transfer. 44(4). 1216–1235. 22 indexed citations

Wasilewski, Lisa N., Ramy El–Diwany, Supriya Munshaw, et al.. (2016). A Hepatitis C Virus Envelope Polymorphism Confers Resistance to Neutralization by Polyclonal Sera and Broadly Neutralizing Monoclonal Antibodies. Journal of Virology. 90(7). 3773–3782. 23 indexed citations

Kepler, Thomas B., Supriya Munshaw, Kevin Wiehe, et al.. (2014). Reconstructing a B-Cell Clonal Lineage. II. Mutation, Selection, and Affinity Maturation. Frontiers in Immunology. 5. 170–170. 58 indexed citations

Mullis, Caroline E., Supriya Munshaw, M. Kate Grabowski, et al.. (2013). Differential Specificity of HIV Incidence Assays in HIV Subtypes A and D-Infected Individuals from Rakai, Uganda. AIDS Research and Human Retroviruses. 29(8). 1146–1150. 13 indexed citations

Ng, Oon Tek, Oliver Laeyendecker, Andrew D. Redd, et al.. (2013). HIV Type 1 Polymerase Gene Polymorphisms Are Associated With Phenotypic Differences in Replication Capacity and Disease Progression. The Journal of Infectious Diseases. 209(1). 66–73. 15 indexed citations

Munshaw, Supriya, Hyon S. Hwang, Michael Torbenson, et al.. (2012). Laser captured hepatocytes show association of butyrylcholinesterase gene loss and fibrosis progression in hepatitis C-infected drug users. Hepatology. 56(2). 544–554. 14 indexed citations

Sydnor, Emily, Amy Greer, Alicia Budd, et al.. (2012). An outbreak of human parainfluenza virus 3 infection in an outpatient hematopoietic stem cell transplantation clinic. American Journal of Infection Control. 40(7). 601–605. 16 indexed citations

Munshaw, Supriya, Justin R. Bailey, Lin Liu, et al.. (2012). Computational Reconstruction of Bole1a, a Representative Synthetic Hepatitis C Virus Subtype 1a Genome. Journal of Virology. 86(10). 5915–5921. 20 indexed citations

10.

Cousins, Matthew M., San-San Ou, Maria J. Wawer, et al.. (2012). Comparison of a High-Resolution Melting Assay to Next-Generation Sequencing for Analysis of HIV Diversity. Journal of Clinical Microbiology. 50(9). 3054–3059. 41 indexed citations

11.

Bailey, Justin R., Sarah B. Laskey, Lisa N. Wasilewski, et al.. (2012). Constraints on Viral Evolution during Chronic Hepatitis C Virus Infection Arising from a Common-Source Exposure. Journal of Virology. 86(23). 12582–12590. 22 indexed citations

12.

Burke, Kelly P., Supriya Munshaw, William O. Osburn, et al.. (2012). Immunogenicity and Cross-Reactivity of a Representative Ancestral Sequence in Hepatitis C Virus Infection. The Journal of Immunology. 188(10). 5177–5188. 22 indexed citations

13.

Ng, Oon Tek, Supriya Munshaw, Susanna L. Lamers, et al.. (2011). Molecular Epidemiology of HIV Type 1 in Singapore and Identification of Novel CRF01_AE/B Recombinant Forms. AIDS Research and Human Retroviruses. 27(10). 1135–1137. 11 indexed citations

14.

Munshaw, Supriya & Thomas B. Kepler. (2010). SoDA2: a Hidden Markov Model approach for identification of immunoglobulin rearrangements. Bioinformatics. 26(7). 867–872. 39 indexed citations

15.

Liao, Hua‐Xin, Marc C. Levesque, Ruijun Zhang, et al.. (2009). High-throughput isolation of immunoglobulin genes from single human B cells and expression as monoclonal antibodies. Journal of Virological Methods. 158(1-2). 171–179. 118 indexed citations

16.

Buckley, Katherine M., Supriya Munshaw, Thomas B. Kepler, & L. Courtney Smith. (2008). The 185/333 Gene Family Is a Rapidly Diversifying Host-Defense Gene Cluster in the Purple Sea Urchin Strongylocentrotus purpuratus. Journal of Molecular Biology. 379(4). 912–928. 32 indexed citations

17.

Munshaw, Supriya & Thomas B. Kepler. (2008). An Information-Theoretic Method for the Treatment of Plural Ancestry in Phylogenetics. Molecular Biology and Evolution. 25(6). 1199–1208. 2 indexed citations

18.

Munshaw, Supriya, et al.. (2004). A genomic-wide analysis ofApis mellifera:insights into small diverse high copy number ORFs. Journal of Apicultural Research. 43(4). 172–175. 2 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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