Sushrusha Nayak

2.5k total citations
24 papers, 2.0k citations indexed

About

Sushrusha Nayak is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Sushrusha Nayak has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Physiology. Recurrent topics in Sushrusha Nayak's work include Virus-based gene therapy research (10 papers), Lysosomal Storage Disorders Research (8 papers) and CAR-T cell therapy research (7 papers). Sushrusha Nayak is often cited by papers focused on Virus-based gene therapy research (10 papers), Lysosomal Storage Disorders Research (8 papers) and CAR-T cell therapy research (7 papers). Sushrusha Nayak collaborates with scholars based in United States, Sweden and Germany. Sushrusha Nayak's co-authors include Roland W. Herzog, Ou Cao, Barry J. Byrne, Brad E. Hoffman, David M. Markusic, Jianrong Lu, Ming Tan, Sushama Kamarajugadda, Mario Cooper and Cox Terhorst and has published in prestigious journals such as Blood, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Sushrusha Nayak

23 papers receiving 2.0k citations

Peers

Sushrusha Nayak

GENET

ONCOL

IMMUN

PHYSI

Fabrizio Benedicenti Italy

Jennifer E. Adair United States

Brian Tomkowicz United States

Grazia Andolfi Italy

Thomas C. Harding United States

Yuuri Hashimoto Japan

Uimook Choi United States

Xavier M. Anguela United States

Yasuji Ueda Japan

Michael Naso United States

Fabrizio Benedicenti Italy

Sushrusha Nayak

1.4k ×1.3

1.3k ×1.6

GENET

540 ×1.2

ONCOL

176 ×0.5

IMMUN

157 ×0.5

PHYSI

Citations per year, relative to Sushrusha Nayak Sushrusha Nayak (= 1×) peers Fabrizio Benedicenti

Countries citing papers authored by Sushrusha Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Sushrusha Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushrusha Nayak

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

Biswas, Moanaro, Debalina Sarkar, Sandeep Kumar, et al.. (2015). Synergy between rapamycin and FLT3 ligand enhances plasmacytoid dendritic cell–dependent induction of CD4+CD25+FoxP3+ Treg. Blood. 125(19). 2937–2947. 58 indexed citations

Doerfler, Phillip A., Sushrusha Nayak, Roland W. Herzog, Laurence Morel, & Barry J. Byrne. (2015). BAFF blockade prevents anti-drug antibody formation in a mouse model of Pompe disease. Clinical Immunology. 158(2). 140–147. 15 indexed citations

Corti, Manuela, Lee Ann Lawson, Sushrusha Nayak, et al.. (2014). B-cell depletion is protective against anti-AAV capsid immune response: a human subject case study. Molecular Therapy — Methods & Clinical Development. 1. 14033–14033. 111 indexed citations

Nayak, Sushrusha, Phillip A. Doerfler, Stacy Porvasnik, et al.. (2014). Immune Responses and Hypercoagulation in ERT for Pompe Disease Are Mutation and rhGAA Dose Dependent. PLoS ONE. 9(6). e98336–e98336. 21 indexed citations

Doerfler, Phillip A., et al.. (2014). Pharmacological chaperones prevent the precipitation of rhGAA by anti-GAA antibodies during enzyme replacement therapy. Molecular Genetics and Metabolism. 111(2). S38–S38. 1 indexed citations

Kamarajugadda, Sushama, Qi Cai, Sushrusha Nayak, et al.. (2013). Manganese superoxide dismutase promotes anoikis resistance and tumor metastasis. Cell Death and Disease. 4(2). e504–e504. 106 indexed citations

ElMallah, Mai K., Darin J. Falk, Sushrusha Nayak, et al.. (2013). Sustained Correction of Motoneuron Histopathology Following Intramuscular Delivery of AAV in Pompe Mice. Molecular Therapy. 22(4). 702–712. 74 indexed citations

Elder, Melissa E., Sushrusha Nayak, Shelley Collins, et al.. (2013). B-Cell Depletion and Immunomodulation before Initiation of Enzyme Replacement Therapy Blocks the Immune Response to Acid Alpha-Glucosidase in Infantile-Onset Pompe Disease. The Journal of Pediatrics. 163(3). 847–854.e1. 62 indexed citations

Markusic, David M., Brad E. Hoffman, George Q. Perrin, et al.. (2013). Effective gene therapy for haemophilic mice with pathogenic factor IX antibodies. EMBO Molecular Medicine. 5(11). 1698–1709. 101 indexed citations

10.

Nayak, Sushrusha, Ramya Sivakumar, Ou Cao, et al.. (2012). Mapping the T helper cell response to acid α-glucosidase in Pompe mice. Molecular Genetics and Metabolism. 106(2). 189–195. 18 indexed citations

11.

Kamarajugadda, Sushama, Qingsong Cai, Nicholas E. Simpson, et al.. (2012). Glucose Oxidation Modulates Anoikis and Tumor Metastasis. Molecular and Cellular Biology. 32(10). 1893–1907. 183 indexed citations

12.

Byrne, Barry J., Darin J. Falk, Christina A. Pacak, et al.. (2011). Pompe disease gene therapy. Human Molecular Genetics. 20(R1). R61–R68. 72 indexed citations

13.

Nayak, Sushrusha, Debalina Sarkar, George Q. Perrin, et al.. (2011). Prevention and Reversal of Antibody Responses Against Factor IX in Gene Therapy for Hemophilia B. Frontiers in Microbiology. 2. 244–244. 37 indexed citations

14.

Moghimi, Babak, et al.. (2011). Induction of tolerance to factor VIII by transient co‐administration with rapamycin. Journal of Thrombosis and Haemostasis. 9(8). 1524–1533. 77 indexed citations

15.

Liao, Gongxian, Sushrusha Nayak, José R. Regueiro, et al.. (2010). GITR engagement preferentially enhances proliferation of functionally competent CD4+CD25+FoxP3+ regulatory T cells. International Immunology. 22(4). 259–270. 76 indexed citations

16.

Cao, Ou, Brad E. Hoffman, Babak Moghimi, et al.. (2009). Impact of the Underlying Mutation and the Route of Vector Administration on Immune Responses to Factor IX in Gene Therapy for Hemophilia B. Molecular Therapy. 17(10). 1733–1742. 84 indexed citations

17.

Cooper, Mario, Sushrusha Nayak, Brad E. Hoffman, et al.. (2009). Improved Induction of Immune Tolerance to Factor IX by Hepatic AAV-8 Gene Transfer. Human Gene Therapy. 20(7). 767–776. 78 indexed citations

18.

Nayak, Sushrusha, et al.. (2009). Prophylactic immune tolerance induced by changing the ratio of antigen‐specific effector to regulatory T cells. Journal of Thrombosis and Haemostasis. 7(9). 1523–1532. 60 indexed citations

19.

Martino, Ashley T., Sushrusha Nayak, Brad E. Hoffman, et al.. (2009). Tolerance Induction to Cytoplasmic β-Galactosidase by Hepatic AAV Gene Transfer — Implications for Antigen Presentation and Immunotoxicity. PLoS ONE. 4(8). e6376–e6376. 49 indexed citations

20.

Nayak, Sushrusha & Roland W. Herzog. (2009). Progress and prospects: immune responses to viral vectors. Gene Therapy. 17(3). 295–304. 485 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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