Prashant Desai

3.7k total citations
63 papers, 2.9k citations indexed

About

Prashant Desai is a scholar working on Epidemiology, Genetics and Oncology. According to data from OpenAlex, Prashant Desai has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Epidemiology, 21 papers in Genetics and 19 papers in Oncology. Recurrent topics in Prashant Desai's work include Herpesvirus Infections and Treatments (47 papers), Virus-based gene therapy research (21 papers) and Cytomegalovirus and herpesvirus research (20 papers). Prashant Desai is often cited by papers focused on Herpesvirus Infections and Treatments (47 papers), Virus-based gene therapy research (21 papers) and Cytomegalovirus and herpesvirus research (20 papers). Prashant Desai collaborates with scholars based in United States, Taiwan and Poland. Prashant Desai's co-authors include Stanley Person, Neal A. DeLuca, Alasdair C. Steven, S. Person, J. Bernard Heymann, Kay Grünewald, Dennis C. Winkler, Wolfgang Baumeister, David M. Belnap and P A Schaffer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Prashant Desai

60 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Desai United States 28 2.1k 693 683 671 541 63 2.9k
R. Eberle United States 29 2.5k 1.2× 318 0.5× 471 0.7× 724 1.1× 532 1.0× 112 3.2k
Anthony V. Nicola United States 29 2.4k 1.1× 658 0.9× 849 1.2× 988 1.5× 195 0.4× 59 3.1k
Helena Browne United Kingdom 33 2.8k 1.3× 657 0.9× 834 1.2× 1.2k 1.8× 387 0.7× 46 3.4k
H. S. Marsden United Kingdom 37 3.0k 1.4× 874 1.3× 1.0k 1.5× 864 1.3× 367 0.7× 96 3.8k
Katinka Döhner Germany 22 1.0k 0.5× 625 0.9× 508 0.7× 534 0.8× 163 0.3× 37 1.9k
Luise Florin Germany 27 1.3k 0.6× 923 1.3× 674 1.0× 727 1.1× 370 0.7× 49 2.6k
N. D. Stow Slovakia 28 2.3k 1.1× 711 1.0× 1.2k 1.8× 720 1.1× 339 0.6× 38 2.8k
Rozanne M. Sandri-Goldin United States 35 2.8k 1.3× 1.5k 2.2× 1.0k 1.5× 1.3k 1.9× 477 0.9× 71 3.9k
Mario Schelhaas Germany 22 1.0k 0.5× 932 1.3× 573 0.8× 573 0.9× 347 0.6× 40 2.6k
John A. Blaho United States 30 1.7k 0.8× 935 1.3× 708 1.0× 884 1.3× 164 0.3× 73 2.5k

Countries citing papers authored by Prashant Desai

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Desai

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

All Works

20 of 20 papers shown
1.
Li, Maggie, Barbara J. Smith, Nicole M. Anders, et al.. (2024). Nelfinavir inhibition of Kaposi’s sarcoma-associated herpesvirus protein expression and capsid assembly. Infectious Agents and Cancer. 19(1). 7–7. 1 indexed citations
2.
Koch, Sandra, Ute Curth, Khaled R. Alkharsah, et al.. (2021). Assembly of infectious Kaposi’s sarcoma-associated herpesvirus progeny requires formation of a pORF19 pentamer. PLoS Biology. 19(11). e3001423–e3001423. 11 indexed citations
3.
Ma, Guangzhong, Shuang Liu, Atish Prakash, et al.. (2019). Development and application of a high-content virion display human GPCR array. Nature Communications. 10(1). 1997–1997. 11 indexed citations
4.
Oldfield, Lauren M., et al.. (2018). Rapid and efficient in vitro excision of BAC sequences from herpesvirus genomes using Cre-mediated recombination. Journal of Virological Methods. 261. 67–70. 4 indexed citations
5.
Simpson, Sydney, Guillaume Fiches, Sinu P. John, et al.. (2018). Inhibition of Tip60 Reduces Lytic and Latent Gene Expression of Kaposi’s Sarcoma-Associated Herpes Virus (KSHV) and Proliferation of KSHV-Infected Tumor Cells. Frontiers in Microbiology. 9. 788–788. 10 indexed citations
6.
Oldfield, Lauren M., Alexander A. Voorhies, Nina Alperovich, et al.. (2017). Genome-wide engineering of an infectious clone of herpes simplex virus type 1 using synthetic genomics assembly methods. Proceedings of the National Academy of Sciences. 114(42). E8885–E8894. 57 indexed citations
7.
Joshi, Poorval, et al.. (2016). Visualization of herpes simplex virus type 1 virions using fluorescent colors. Journal of Virological Methods. 241. 46–51. 9 indexed citations
8.
Brown, David, Yujia A. Chan, Prashant Desai, et al.. (2016). Efficient size-independent chromosome delivery from yeast to cultured cell lines. Nucleic Acids Research. 45(7). gkw1252–gkw1252. 30 indexed citations
9.
Bera, Alakesh, Edward M. Perkins, Jian Zhu, Heng Zhu, & Prashant Desai. (2014). DNA Binding and Condensation Properties of the Herpes Simplex Virus Type 1 Triplex Protein VP19C. PLoS ONE. 9(8). e104640–e104640. 8 indexed citations
10.
Shamay, Meir, Nicholas J. Hand, M. Victor Lemas, et al.. (2012). CpG Methylation as a Tool to Characterize Cell-Free Kaposi Sarcoma Herpesvirus DNA. The Journal of Infectious Diseases. 205(7). 1095–1099. 14 indexed citations
11.
Alcendor, Donald J., et al.. (2011). KSHV Regulation of Fibulin-2 in Kaposi's Sarcoma. American Journal Of Pathology. 179(3). 1443–1454. 19 indexed citations
12.
Bera, Alakesh, et al.. (2010). Expression of the HSV-1 capsid protein VP19C in Escherichia coli: A single amino acid change overcomes an expression block of the full-length polypeptide. Protein Expression and Purification. 77(1). 80–85. 3 indexed citations
13.
Alcendor, Donald J., et al.. (2009). KSHV downregulation of galectin-3 in Kaposi's sarcoma. Glycobiology. 20(5). 521–532. 8 indexed citations
14.
Warner, Susan C., et al.. (2001). Mutations in the N-Terminus of VP5 Alter Its Interaction with the Scaffold Proteins of Herpes Simplex Virus Type 1. Virology. 284(2). 308–316. 7 indexed citations
15.
16.
17.
Desai, Prashant, Neal A. DeLuca, & Stanley Person. (1998). Herpes Simplex Virus Type 1 VP26 Is Not Essential for Replication in Cell Culture but Influences Production of Infectious Virus in the Nervous System of Infected Mice. Virology. 247(1). 115–124. 110 indexed citations
18.
19.
McNab, Alistair R., Prashant Desai, Darrell R. Thomsen, et al.. (1998). The Product of the Herpes Simplex Virus Type 1 UL25 Gene Is Required for Encapsidation but Not for Cleavage of Replicated Viral DNA. Journal of Virology. 72(2). 1060–1070. 147 indexed citations
20.
Person, S., et al.. (1993). Herpes simplex virus type 1 capsid protein, VP21, originates within the UL26 open reading frame. Journal of General Virology. 74(10). 2269–2273. 43 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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