P.S. Shah

663 total citations
22 papers, 480 citations indexed

About

P.S. Shah is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Parasitology. According to data from OpenAlex, P.S. Shah has authored 22 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Public Health, Environmental and Occupational Health, 14 papers in Infectious Diseases and 6 papers in Parasitology. Recurrent topics in P.S. Shah's work include Mosquito-borne diseases and control (19 papers), Viral Infections and Vectors (14 papers) and Malaria Research and Control (8 papers). P.S. Shah is often cited by papers focused on Mosquito-borne diseases and control (19 papers), Viral Infections and Vectors (14 papers) and Malaria Research and Control (8 papers). P.S. Shah collaborates with scholars based in India and United States. P.S. Shah's co-authors include D. Cecilia, Kalichamy Alagarasu, J.A. Patil, Mahadeo Kakade, Tanvi P. Honap, Atul M. Walimbe, Deepti Parashar, Sarah Cherian, V S Padbidri and Padmakar S. Sathe and has published in prestigious journals such as Journal of General Virology, Journal of Medical Virology and Cytokine.

In The Last Decade

P.S. Shah

22 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.S. Shah India 13 361 288 54 43 41 22 480
H. Loke United Kingdom 6 268 0.7× 238 0.8× 55 1.0× 27 0.6× 35 0.9× 8 349
Claudia Caglioti Italy 10 251 0.7× 227 0.8× 79 1.5× 14 0.3× 58 1.4× 14 409
Juan Camilo Sánchez‐Arcila Brazil 11 266 0.7× 151 0.5× 49 0.9× 41 1.0× 70 1.7× 26 356
Prisca Susan A. Leaño Japan 10 154 0.4× 199 0.7× 52 1.0× 30 0.7× 150 3.7× 17 419
J. Janus United States 10 595 1.6× 546 1.9× 57 1.1× 31 0.7× 52 1.3× 11 687
Himanshu Kaushal India 13 272 0.8× 151 0.5× 55 1.0× 60 1.4× 140 3.4× 23 412
Cecilia Dayaraj India 11 281 0.8× 225 0.8× 59 1.1× 31 0.7× 39 1.0× 14 360
Daniela Cerny Singapore 7 234 0.6× 219 0.8× 84 1.6× 28 0.7× 34 0.8× 7 350
Mariah Hassert United States 12 375 1.0× 395 1.4× 65 1.2× 36 0.8× 145 3.5× 31 560
Pedro González-Martı́nez Mexico 9 131 0.4× 97 0.3× 57 1.1× 26 0.6× 69 1.7× 30 270

Countries citing papers authored by P.S. Shah

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.S. Shah. 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 P.S. Shah. The network helps show where P.S. Shah may publish in the future.

Co-authorship network of co-authors of P.S. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of P.S. Shah. A scholar is included among the top collaborators of P.S. Shah 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 P.S. Shah. P.S. Shah 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.
Shah, P.S., et al.. (2024). Pathophysiology of Rheumatoid Arthritis. 2(1). 1–4. 1 indexed citations
2.
Alagarasu, Kalichamy, et al.. (2020). Use of whole blood over plasma enhances the detection of dengue virus RNA: possible utility in dengue vaccine trials. Archives of Virology. 166(2). 587–591. 2 indexed citations
3.
Kakade, Mahadeo, et al.. (2020). Clinical evaluation of an in-house-developed real-time RT-PCR assay for serotyping of dengue virus. Archives of Virology. 165(10). 2311–2315. 6 indexed citations
4.
Darji, P., et al.. (2020). SAT-422 SPECTRUM OF ACUTE KIDNEY INJURY IN DENGUE FEVER. Kidney International Reports. 5(3). S176–S176. 1 indexed citations
5.
Alagarasu, Kalichamy, J.A. Patil, Mahadeo Kakade, et al.. (2019). Spatio-temporal distribution analysis of circulating genotypes of dengue virus type 1 in western and southern states of India by a one-step real-time RT-PCR assay. Infection Genetics and Evolution. 75. 103989–103989. 3 indexed citations
7.
Patil, J.A., Kalichamy Alagarasu, Mahadeo Kakade, et al.. (2018). Emergence of dengue virus type 1 and type 3 as dominant serotypes during 2017 in Pune and Nashik regions of Maharashtra, Western India. Infection Genetics and Evolution. 66. 272–283. 17 indexed citations
8.
Alagarasu, Kalichamy, et al.. (2015). Association of combinations of interleukin-10 and pro-inflammatory cytokine gene polymorphisms with dengue hemorrhagic fever. Cytokine. 74(1). 130–136. 23 indexed citations
9.
Alagarasu, Kalichamy, et al.. (2015). Polymorphisms in the retinoic acid-1 like-receptor family of genes and their association with clinical outcome of dengue virus infection. Archives of Virology. 160(6). 1555–1560. 6 indexed citations
10.
Alagarasu, Kalichamy, et al.. (2015). Profile of killer cell immunoglobulin‐like receptor and its human leucocyte antigen ligands in dengue‐infected patients from Western India. International Journal of Immunogenetics. 42(6). 432–438. 8 indexed citations
11.
Alagarasu, Kalichamy, et al.. (2014). Polymorphisms in RNA sensing toll like receptor genes and its association with clinical outcomes of dengue virus infection. Immunobiology. 220(1). 164–168. 22 indexed citations
12.
Cecilia, D., Mahadeo Kakade, Kalichamy Alagarasu, et al.. (2014). Development of a multiplex real-time RT-PCR assay for simultaneous detection of dengue and chikungunya viruses. Archives of Virology. 160(1). 323–327. 53 indexed citations
13.
Alagarasu, Kalichamy, et al.. (2013). Polymorphisms in the oligoadenylate synthetase gene cluster and its association with clinical outcomes of dengue virus infection. Infection Genetics and Evolution. 14. 390–395. 37 indexed citations
14.
Alagarasu, Kalichamy, et al.. (2013). Association of HLA-DRB1 and TNF genotypes with dengue hemorrhagic fever. Human Immunology. 74(5). 610–617. 30 indexed citations
15.
Alagarasu, Kalichamy, et al.. (2013). Profile of human leukocyte antigen class I alleles in patients with dengue infection from Western India. Human Immunology. 74(12). 1624–1628. 10 indexed citations
16.
Patil, J.A., Sarah Cherian, Atul M. Walimbe, et al.. (2012). Influence of evolutionary events on the Indian subcontinent on the phylogeography of dengue type 3 and 4 viruses. Infection Genetics and Evolution. 12(8). 1759–1769. 31 indexed citations
17.
Alagarasu, Kalichamy, et al.. (2012). Association of vitamin D receptor gene polymorphisms with clinical outcomes of dengue virus infection. Human Immunology. 73(11). 1194–1199. 58 indexed citations
18.
Patil, J.A., Sarah Cherian, Atul M. Walimbe, et al.. (2011). Evolutionary dynamics of the American African genotype of dengue type 1 virus in India (1962–2005). Infection Genetics and Evolution. 11(6). 1443–1448. 40 indexed citations
19.
Patil, J.A., D. Cecilia, Pradip Barde, et al.. (2009). Evolution, dispersal and replacement of American genotype dengue type 2 viruses in India (1956-2005): selection pressure and molecular clock analyses. Journal of General Virology. 91(3). 707–720. 62 indexed citations
20.
Shah, P.S., et al.. (1981). Cell-mediated immune responses of synovial mononuclear cells in Reiter's syndrome against ureaplasmal and chlamydial antigens.. PubMed. 7(5). 751–5. 18 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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