Navin Khanna

4.4k total citations
115 papers, 3.4k citations indexed

About

Navin Khanna is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Navin Khanna has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Public Health, Environmental and Occupational Health, 46 papers in Infectious Diseases and 44 papers in Molecular Biology. Recurrent topics in Navin Khanna's work include Mosquito-borne diseases and control (50 papers), Viral Infections and Vectors (33 papers) and Malaria Research and Control (17 papers). Navin Khanna is often cited by papers focused on Mosquito-borne diseases and control (50 papers), Viral Infections and Vectors (33 papers) and Malaria Research and Control (17 papers). Navin Khanna collaborates with scholars based in India, United States and Italy. Navin Khanna's co-authors include S. Swaminathan, David M. Waisman, Ursula Rinas, Rahul Shukla, Upasana Arora, Chandrasekhar Gurramkonda, Ahmad Adnan, Masaaki Tokuda, Heinrich Lünsdorf and Viswanathan Ramasamy and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Navin Khanna

114 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Navin Khanna India 35 1.5k 1.2k 1.1k 393 336 115 3.4k
S. Swaminathan India 33 990 0.7× 1.1k 0.9× 1.0k 0.9× 279 0.7× 248 0.7× 76 2.6k
Huarong Huang China 29 1.2k 0.8× 539 0.4× 725 0.6× 521 1.3× 308 0.9× 74 3.5k
Thomas S. Vedvick United States 38 2.3k 1.5× 440 0.4× 1.1k 1.0× 875 2.2× 312 0.9× 77 5.0k
Nina M. van Sorge Netherlands 35 1.1k 0.7× 823 0.7× 663 0.6× 683 1.7× 122 0.4× 95 3.3k
M. S. Blake United States 30 1.7k 1.1× 381 0.3× 400 0.4× 604 1.5× 158 0.5× 50 3.9k
Joseph E. Alouf France 25 886 0.6× 712 0.6× 713 0.6× 230 0.6× 228 0.7× 81 2.3k
Hugues Bedouelle France 28 1.9k 1.2× 462 0.4× 558 0.5× 351 0.9× 139 0.4× 72 3.1k
Willie F. Vann United States 38 2.0k 1.3× 262 0.2× 822 0.7× 673 1.7× 208 0.6× 84 3.5k
Palmer A. Orlandi United States 24 926 0.6× 802 0.7× 329 0.3× 447 1.1× 202 0.6× 34 2.7k
Paul F. G. Sims United Kingdom 39 1.8k 1.2× 1.8k 1.5× 835 0.7× 975 2.5× 382 1.1× 106 4.5k

Countries citing papers authored by Navin Khanna

Since Specialization
Citations

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

Fields of papers citing papers by Navin Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navin Khanna

This figure shows the co-authorship network connecting the top 25 collaborators of Navin Khanna. A scholar is included among the top collaborators of Navin Khanna 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 Navin Khanna. Navin Khanna 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.
Pal, Nabanita, et al.. (2023). Japanese Encephalitis Virus: An Update on the Potential Antivirals and Vaccines. Vaccines. 11(4). 742–742. 30 indexed citations
2.
Shukla, Rahul, et al.. (2023). Sinococuline, a bioactive compound of Cocculus hirsutus has potent anti-dengue activity. Scientific Reports. 13(1). 1026–1026. 5 indexed citations
3.
Salminen, Teppo, Sherif Bayoumy, Tytti Vuorinen, et al.. (2021). Double-Antigen Lateral Flow Immunoassay for the Detection of Anti-HIV-1 and -2 Antibodies Using Upconverting Nanoparticle Reporters. Sensors. 21(2). 330–330. 23 indexed citations
4.
Kaushik, Neha, et al.. (2020). Enhanced cell density cultivation and rapid expression-screening of recombinant Pichia pastoris clones in microscale. Scientific Reports. 10(1). 7458–7458. 20 indexed citations
5.
Rajpoot, Ravi Kant, Rahul Shukla, Upasana Arora, S. Swaminathan, & Navin Khanna. (2018). Dengue envelope-based ‘four-in-one’ virus-like particles produced using Pichia pastoris induce enhancement-lacking, domain III-directed tetravalent neutralising antibodies in mice. Scientific Reports. 8(1). 26 indexed citations
6.
Talha, Sheikh M., Teppo Salminen, Chandrasekhar Gurramkonda, et al.. (2016). Europium nanoparticle-based simple to perform dry-reagent immunoassay for the detection of hepatitis B surface antigen. Journal of Virological Methods. 229. 66–69. 5 indexed citations
7.
Talha, Sheikh M., Jukka Hytönen, Adam Westhorpe, et al.. (2013). Europium Nanoparticle-Based High Performing Immunoassay for the Screening of Treponemal Antibodies. PLoS ONE. 8(12). e84050–e84050. 6 indexed citations
8.
Mani, Shailendra, Rajendra Raut, Poornima Tyagi, et al.. (2013). Pichia pastoris-Expressed Dengue 2 Envelope Forms Virus-Like Particles without Pre-Membrane Protein and Induces High Titer Neutralizing Antibodies. PLoS ONE. 8(5). e64595–e64595. 53 indexed citations
9.
Arora, Upasana, Poornima Tyagi, S. Swaminathan, & Navin Khanna. (2012). Virus-like particles displaying envelope domain III of dengue virus type 2 induce virus-specific antibody response in mice. Vaccine. 31(6). 873–878. 36 indexed citations
10.
11.
Pilankatta, Rajendra, Tanu Chawla, Navin Khanna, & S. Swaminathan. (2010). The prevalence of antibodies to adenovirus serotype 5 in an adult Indian population and implications for adenovirus vector vaccines. Journal of Medical Virology. 82(3). 407–414. 32 indexed citations
12.
Talha, Sheikh M., S. Swaminathan, Raija Vainionpää, et al.. (2010). Simultaneous detection of Human Immunodeficiency Virus 1 and Hepatitis B virus infections using a dual-label time-resolved fluorometric assay. Journal of Nanobiotechnology. 8(1). 27–27. 12 indexed citations
13.
Jain, Swatantra Kumar, et al.. (2006). A novel recombinant multiepitope protein as a hepatitis C diagnostic intermediate of high sensitivity and specificity. Protein Expression and Purification. 47(1). 319–328. 34 indexed citations
14.
15.
16.
Swaminathan, S., et al.. (2001). Expression of hepatitis B surface antigen in the methylotrophic yeast Pichia pastoris using the GAP promoter. Journal of Biotechnology. 88(1). 21–35. 121 indexed citations
17.
Swaminathan, S., et al.. (2001). Effect of Copy Number on the Expression Levels of Hepatitis B Surface Antigen in the Methylotrophic Yeast Pichia pastoris. Protein Expression and Purification. 21(1). 71–80. 129 indexed citations
18.
Arora, D. J. S., et al.. (1998). Easy PCR screening of Pichia pastoris transformants. Cellular & Molecular Biology Letters. 3(3). 4 indexed citations
19.
Khanna, Navin, et al.. (1996). Method for increasing the yield of properly folded recombinant human gamma interferon from inclusion bodies. Journal of Biotechnology. 52(2). 127–133. 121 indexed citations
20.
Hjorth, Siv A., Sumana Datta, Navin Khanna, & Richard Firtel. (1988). Analysis of cis and trans elements involved in cAMP‐inducible gene expression in Dictyostelium discoideum. Developmental Genetics. 9(4-5). 435–454. 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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