Perumal Kaliraj

1.7k total citations
85 papers, 1.4k citations indexed

About

Perumal Kaliraj is a scholar working on Infectious Diseases, Parasitology and Insect Science. According to data from OpenAlex, Perumal Kaliraj has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Infectious Diseases, 40 papers in Parasitology and 33 papers in Insect Science. Recurrent topics in Perumal Kaliraj's work include Parasitic Diseases Research and Treatment (74 papers), Parasites and Host Interactions (38 papers) and Insect symbiosis and bacterial influences (33 papers). Perumal Kaliraj is often cited by papers focused on Parasitic Diseases Research and Treatment (74 papers), Parasites and Host Interactions (38 papers) and Insect symbiosis and bacterial influences (33 papers). Perumal Kaliraj collaborates with scholars based in India, United States and Germany. Perumal Kaliraj's co-authors include Thomas B. Nutman, Prabhu Rajaiah Prince, Ramaswamy Kalyanasundaram, R.B. Narayanan, Maryada Venkata Rami Reddy, Jayaprakasam Madhumathi, Rangarajan Badri Narayanan, Gnanasekar Munirathinam, Alan L. Scott and Suba Nookala and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Infection and Immunity.

In The Last Decade

Perumal Kaliraj

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Perumal Kaliraj India 18 933 652 406 350 254 85 1.4k
Agnes Kurniawan Indonesia 21 955 1.0× 975 1.5× 299 0.7× 459 1.3× 153 0.6× 49 1.6k
F Partònò Indonesia 24 1.3k 1.4× 817 1.3× 485 1.2× 560 1.6× 169 0.7× 91 2.0k
Guadalupe Ortega‐Pierres Mexico 23 672 0.7× 770 1.2× 71 0.2× 230 0.7× 239 0.9× 50 1.3k
S. Corona Italy 18 447 0.5× 254 0.4× 470 1.2× 269 0.8× 158 0.6× 43 1.1k
Ljiljana Sofronić‐Milosavljević Serbia 22 772 0.8× 645 1.0× 52 0.1× 423 1.2× 237 0.9× 55 1.2k
Andrew R. Moorhead United States 18 523 0.6× 426 0.7× 140 0.3× 400 1.1× 186 0.7× 45 1.0k
Katrina M. Houston United Kingdom 17 450 0.5× 781 1.2× 77 0.2× 255 0.7× 289 1.1× 26 1.3k
Nikhat Parveen United States 23 676 0.7× 959 1.5× 184 0.5× 62 0.2× 267 1.1× 49 1.5k
Michael F. Minnick United States 27 602 0.6× 1.0k 1.6× 97 0.2× 142 0.4× 534 2.1× 80 1.9k
Janice Murray United Kingdom 15 252 0.3× 574 0.9× 101 0.2× 323 0.9× 178 0.7× 16 933

Countries citing papers authored by Perumal Kaliraj

Since Specialization
Citations

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

Fields of papers citing papers by Perumal Kaliraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Perumal Kaliraj

This figure shows the co-authorship network connecting the top 25 collaborators of Perumal Kaliraj. A scholar is included among the top collaborators of Perumal Kaliraj 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 Perumal Kaliraj. Perumal Kaliraj 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.
Khatri, Vishal, et al.. (2017). Immunoprophylaxis of multi-antigen peptide (MAP) vaccine for human lymphatic filariasis. Immunologic Research. 65(3). 729–738. 13 indexed citations
2.
Ravishankaran, Rajendran, et al.. (2016). Evaluation of immuno diagnostic assay for the exposure of stage specific filarial infection. Acta Parasitologica. 61(2). 232–40. 5 indexed citations
3.
4.
Ganapathy, Mathangi, et al.. (2015). Immunodiagnostic Properties of Wucheraria bancrofti SXP-1, a Potential Filarial Diagnostic Candidate Expressed in Tobacco Plant, Nicotiana tabacum. Applied Biochemistry and Biotechnology. 176(7). 1889–1903. 4 indexed citations
5.
Prince, Prabhu Rajaiah, et al.. (2015). Immunoadjuvant effect of diethylcarbamazine in experimental filariasis. International Immunopharmacology. 24(2). 458–462. 1 indexed citations
6.
Prince, Prabhu Rajaiah, et al.. (2014). Immunological characterization of recombinant Wuchereria bancrofti cuticular collagen (COL-4) as putative vaccine candidate for human lymphatic filariasis. Asian Pacific Journal of Tropical Medicine. 7(7). 505–512. 4 indexed citations
7.
Madhumathi, Jayaprakasam, et al.. (2014). Biodegradable poly-l-lactide based microparticles as controlled release delivery system for filarial vaccine candidate antigens. European Journal of Pharmacology. 747. 174–180. 16 indexed citations
8.
9.
10.
Madhumathi, Jayaprakasam, et al.. (2014). Repeat region of Brugia malayi sheath protein (Shp-1) carries Dominant B epitopes recognized in filarial endemic population. Acta Parasitologica. 59(3). 454–8. 3 indexed citations
11.
Madhumathi, Jayaprakasam, et al.. (2013). Immune responses of B. malayi thioredoxin (TRX) and venom allergen homologue (VAH) chimeric multiple antigen for lymphatic filariasis. Acta Parasitologica. 58(4). 468–77. 7 indexed citations
12.
Ganapathy, Mathangi, et al.. (2013). Immunogenicity of Brugia malayi Abundant Larval Transcript-2, a potential filarial vaccine candidate expressed in tobacco. Plant Cell Reports. 33(1). 179–188. 7 indexed citations
13.
Prince, Prabhu Rajaiah, et al.. (2013). Tandem antioxidant enzymes confer synergistic protective responses in experimental filariasis. Journal of Helminthology. 88(4). 402–410. 12 indexed citations
14.
Madhumathi, Jayaprakasam, Prabhu Rajaiah Prince, D. N. Rao, & Perumal Kaliraj. (2010). Dominant T‐cell epitopes of filarial BmALT‐2 and their cytokine profile in BALB/c mice. Parasite Immunology. 32(11-12). 760–763. 15 indexed citations
15.
Thirugnanam, Sivasakthivel, Ramaswamy Kalyanasundaram, Vadivel Murugan, et al.. (2007). Brugia malayi: Comparison of protective immune responses induced by Bm-alt-2 DNA, recombinant Bm-ALT-2 protein and prime-boost vaccine regimens in a jird model. Experimental Parasitology. 116(4). 483–491. 62 indexed citations
16.
Kubofcik, Joseph, et al.. (2004). Wuchereria bancrofti: cloning and characterization of heat shock protein 70 from the human lymphatic filarial parasite. Experimental Parasitology. 106(1-2). 1–10. 25 indexed citations
17.
Inoshima, Yasuo, Kenji Murakami, Shinya Shimizu, et al.. (2002). Errata. Microbiology and Immunology. 46(9). 645–645. 1 indexed citations
18.
Jayaraman, Kunthala, et al.. (1997). Cellular immune response studies in bancroftian filariasis. Journal of Helminthology. 71(3). 265–267. 6 indexed citations
19.
Kaliraj, Perumal, et al.. (1979). Indirect fluorescent antibody technique using sonicated Wuchereria bancrofti microfilaria for immunodiagnosis of Bancroftian filariasis.. PubMed. 17(4). 332–5. 9 indexed citations
20.
Kaliraj, Perumal, et al.. (1979). Detection of circulating filarial antigen in bancroftian filariasis.. PubMed. 17(10). 1148–9. 14 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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