Mookkan Prabakaran

1.4k total citations
42 papers, 1.1k citations indexed

About

Mookkan Prabakaran is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mookkan Prabakaran has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 19 papers in Infectious Diseases and 12 papers in Molecular Biology. Recurrent topics in Mookkan Prabakaran's work include Influenza Virus Research Studies (21 papers), Viral gastroenteritis research and epidemiology (13 papers) and Respiratory viral infections research (12 papers). Mookkan Prabakaran is often cited by papers focused on Influenza Virus Research Studies (21 papers), Viral gastroenteritis research and epidemiology (13 papers) and Respiratory viral infections research (12 papers). Mookkan Prabakaran collaborates with scholars based in Singapore, France and United Kingdom. Mookkan Prabakaran's co-authors include Jimmy Kwang, Fang He, Nayana Prabhu, Qiang Jia, Sumathy Velumani, Hui-Ting Ho, R. Dinakaran Michael, Dieter Steinhagen, Premanand Balraj and Ravikumar Rajamanonmani and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biochemistry.

In The Last Decade

Mookkan Prabakaran

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mookkan Prabakaran Singapore 22 524 400 307 272 156 42 1.1k
E Varečková Slovakia 17 734 1.4× 270 0.7× 174 0.6× 333 1.2× 88 0.6× 48 936
Jibo Hou China 17 229 0.4× 192 0.5× 177 0.6× 94 0.3× 130 0.8× 57 651
Luuk Hilgers Netherlands 17 182 0.3× 284 0.7× 184 0.6× 243 0.9× 48 0.3× 36 761
Kevin Chiem United States 18 246 0.5× 321 0.8× 514 1.7× 152 0.6× 43 0.3× 51 961
Min‐Hui Wong United States 19 795 1.5× 270 0.7× 638 2.1× 362 1.3× 45 0.3× 41 1.5k
Wenbao Qi China 24 1.3k 2.5× 272 0.7× 657 2.1× 339 1.2× 777 5.0× 95 1.6k
Yuqiang Cheng China 16 119 0.2× 297 0.7× 220 0.7× 344 1.3× 52 0.3× 62 885
Michèle Dargis Canada 13 215 0.4× 425 1.1× 267 0.9× 198 0.7× 31 0.2× 17 893
R Pal United States 16 454 0.9× 404 1.0× 294 1.0× 393 1.4× 15 0.1× 23 1.3k
Hongxia Shao China 20 314 0.6× 304 0.8× 226 0.7× 140 0.5× 116 0.7× 61 858

Countries citing papers authored by Mookkan Prabakaran

Since Specialization
Citations

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

Fields of papers citing papers by Mookkan Prabakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mookkan Prabakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Mookkan Prabakaran. A scholar is included among the top collaborators of Mookkan Prabakaran 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 Mookkan Prabakaran. Mookkan Prabakaran 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.
2.
Prabakaran, Mookkan, et al.. (2023). Detection of several respiratory viruses with Surface-Enhanced Raman Spectroscopy coupled with Artificial Intelligence. 5. 100025–100025. 7 indexed citations
3.
Jia, Huan, Eric A. Miller, Chia Ching Chan, et al.. (2022). Development and translation of a paper-based top readout vertical flow assay for SARS-CoV-2 surveillance. Lab on a Chip. 22(7). 1321–1332. 8 indexed citations
4.
Poh, Zhong Wee, et al.. (2020). Modification of neutralizing epitopes of hemagglutinin for the development of broadly protective H9N2 vaccine. Vaccine. 38(6). 1286–1290. 9 indexed citations
5.
Krishna, Manchugondanahalli S., et al.. (2019). Incorporating G-C Pair-Recognizing Guanidinium into PNAs for Sequence and Structure Specific Recognition of dsRNAs over dsDNAs and ssRNAs. Biochemistry. 58(36). 3777–3788. 16 indexed citations
6.
Patil, Kiran M., Desiree‐Faye Kaixin Toh, Manchugondanahalli S. Krishna, et al.. (2019). A Short Chemically Modified dsRNA-Binding PNA (dbPNA) Inhibits Influenza Viral Replication by Targeting Viral RNA Panhandle Structure. Bioconjugate Chemistry. 30(3). 931–943. 46 indexed citations
7.
Prabakaran, Mookkan, et al.. (2016). Intracellular localization of Saffold virus Leader (L) protein differs in Vero and HEp-2 cells. Emerging Microbes & Infections. 5(1). 1–11.
8.
He, Fang, et al.. (2014). Monovalent H5 vaccine based on epitope-chimeric HA provides broad cross-clade protection against variant H5N1 viruses in mice. Antiviral Research. 105. 143–151. 11 indexed citations
9.
Prabakaran, Mookkan, et al.. (2014). Cross-protective efficacy of baculovirus displayed hemagglutinin against highly pathogenic influenza H7 subtypes. Antiviral Research. 109. 149–159. 13 indexed citations
10.
Prabakaran, Mookkan, Annasaheb Kolpe, Fang He, & Jimmy Kwang. (2013). Cross-protective efficacy of bivalent recombinant baculoviral vaccine against heterologous influenza H5N1 challenge. Vaccine. 31(10). 1385–1392. 19 indexed citations
11.
He, Fang, et al.. (2013). Development of dual-function ELISA for effective antigen and antibody detection against H7 avian influenza virus. BMC Microbiology. 13(1). 219–219. 23 indexed citations
12.
He, Fang, et al.. (2013). Effective intranasal therapeutics and prophylactics with monoclonal antibody against lethal infection of H7N7 influenza virus. Antiviral Research. 100(1). 207–214. 20 indexed citations
13.
Velumani, Sumathy, et al.. (2011). A Novel Peptide ELISA for Universal Detection of Antibodies to Human H5N1 Influenza Viruses. PLoS ONE. 6(6). e20737–e20737. 34 indexed citations
14.
Prabakaran, Mookkan, et al.. (2010). Reverse micelle-encapsulated recombinant baculovirus as an oral vaccine against H5N1 infection in mice. Antiviral Research. 86(2). 180–187. 31 indexed citations
15.
Prabakaran, Mookkan, et al.. (2010). Baculovirus as Vaccine Vectors. Current Gene Therapy. 10(3). 201–213. 55 indexed citations
16.
Prabakaran, Mookkan, Hui-Ting Ho, Nayana Prabhu, et al.. (2009). Development of Epitope-Blocking ELISA for Universal Detection of Antibodies to Human H5N1 Influenza Viruses. PLoS ONE. 4(2). e4566–e4566. 61 indexed citations
17.
18.
Velumani, Sumathy, et al.. (2007). Development of an antigen-capture ELISA for detection of H7 subtype avian influenza from experimentally infected chickens. Journal of Virological Methods. 147(2). 219–225. 37 indexed citations
19.
Prabakaran, Mookkan, et al.. (2006). Immune response and disease resistance of Oreochromis mossambicus to Aeromonas hydrophila after exposure to hexavalent chromium. Diseases of Aquatic Organisms. 68(3). 189–196. 24 indexed citations
20.
Prabakaran, Mookkan, et al.. (2005). Effect of sex ratio on the immune system of Oreochromis mossambicus (Peters). Brain Behavior and Immunity. 20(3). 300–308. 17 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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