Joseph J. Kingston

1.1k total citations
43 papers, 840 citations indexed

About

Joseph J. Kingston is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Joseph J. Kingston has authored 43 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Infectious Diseases and 9 papers in Ecology. Recurrent topics in Joseph J. Kingston's work include Bacteriophages and microbial interactions (9 papers), Bacillus and Francisella bacterial research (8 papers) and Vibrio bacteria research studies (7 papers). Joseph J. Kingston is often cited by papers focused on Bacteriophages and microbial interactions (9 papers), Bacillus and Francisella bacterial research (8 papers) and Vibrio bacteria research studies (7 papers). Joseph J. Kingston collaborates with scholars based in India, United States and United Kingdom. Joseph J. Kingston's co-authors include S. Michaud, Robin Reed, Harsh Vardhan Batra, Bhairab Mondal, H. S. Murali, Urmil Tuteja, Harsh Vardhan Batra, Siva R. Uppalapati, Jean‐Bernard Lubin and Nityananda Chowdhury and has published in prestigious journals such as Genes & Development, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Joseph J. Kingston

42 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph J. Kingston India 16 520 200 158 89 82 43 840
Christopher A. Beaudoin United Kingdom 11 458 0.9× 114 0.6× 201 1.3× 48 0.5× 109 1.3× 19 916
Jhih‐Hang Jiang Australia 18 479 0.9× 72 0.4× 224 1.4× 109 1.2× 125 1.5× 31 925
Hengliang Wang China 20 554 1.1× 78 0.4× 160 1.0× 82 0.9× 178 2.2× 88 1.1k
Joanne E. Thwaite United Kingdom 14 410 0.8× 81 0.4× 87 0.6× 85 1.0× 36 0.4× 19 808
Xiong Zhu China 14 461 0.9× 369 1.8× 405 2.6× 56 0.6× 38 0.5× 34 902
Brendan D. Snarr Canada 16 525 1.0× 46 0.2× 341 2.2× 79 0.9× 41 0.5× 18 1.0k
Boon Huat Lim Malaysia 16 471 0.9× 431 2.2× 620 3.9× 68 0.8× 52 0.6× 47 1.1k
Adam P. Barker United States 15 314 0.6× 108 0.5× 389 2.5× 49 0.6× 94 1.1× 30 892
Erling Feng China 15 387 0.7× 38 0.2× 83 0.5× 30 0.3× 151 1.8× 43 627
Hui Jin China 15 278 0.5× 42 0.2× 111 0.7× 202 2.3× 31 0.4× 46 671

Countries citing papers authored by Joseph J. Kingston

Since Specialization
Citations

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

Fields of papers citing papers by Joseph J. Kingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph J. Kingston. 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 Joseph J. Kingston. The network helps show where Joseph J. Kingston may publish in the future.

Co-authorship network of co-authors of Joseph J. Kingston

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph J. Kingston. A scholar is included among the top collaborators of Joseph J. Kingston 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 Joseph J. Kingston. Joseph J. Kingston 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.
Kingston, Joseph J., et al.. (2025). Novel TaqMan® real-time PCR targeting invJ gene for 8-h detection of Salmonella from food matrices. Frontiers in Microbiology. 16. 1517680–1517680.
2.
Kingston, Joseph J., et al.. (2022). In vitro selection and characterization of ssDNA aptamers by cross-over SELEX and its application for detection of S. Typhimurium. Analytical Biochemistry. 656. 114884–114884. 10 indexed citations
3.
4.
Singh, Kunal, et al.. (2019). Immunogenicity and protective efficacy of Burkholderia pseudomallei BLF1-N and BLF1-C terminal domains against BLF1 toxin. International Immunopharmacology. 77. 105917–105917. 1 indexed citations
5.
Mondal, Bhairab, et al.. (2018). Highly Sensitive Colorimetric Biosensor for Staphylococcal Enterotoxin B by a Label-Free Aptamer and Gold Nanoparticles. Frontiers in Microbiology. 9. 179–179. 67 indexed citations
6.
Sil, S., et al.. (2017). Detection and classification of Bacteria using Raman Spectroscopy Combined with Multivariate Analysis. Defence Life Science Journal. 2(4). 435–435. 21 indexed citations
7.
Mondal, Bhairab, et al.. (2017). Capture and detection of Staphylococcus aureus with dual labeled aptamers to cell surface components. International Journal of Food Microbiology. 265. 74–83. 37 indexed citations
8.
Kingston, Joseph J., et al.. (2016). Differentiation of entC1 from entC2/entC3 with a single primer pair using simple and rapid SYBR Green-based RT-PCR melt curve analysis. Applied Microbiology and Biotechnology. 100(19). 8495–8506. 1 indexed citations
9.
Kingston, Joseph J., et al.. (2016). Development of IgY based sandwich ELISA for the detection of staphylococcal enterotoxin G (SEG), an egc toxin. International Journal of Food Microbiology. 237. 136–141. 54 indexed citations
10.
Kingston, Joseph J., et al.. (2016). Thermostabilization of indigenous multiplex polymerase chain reaction reagents for detection of enterotoxigenic Staphylococcus aureus. Journal of Microbiology Immunology and Infection. 51(2). 191–198. 14 indexed citations
11.
12.
Kingston, Joseph J., et al.. (2014). Protective antigen and extractable antigen 1 based chimeric protein confers protection against Bacillus anthracis in mouse model. Molecular Immunology. 59(1). 91–99. 8 indexed citations
13.
14.
Kingston, Joseph J., et al.. (2013). APPLICATION OF EXTRACTABLE ANTIGEN 1 (EA1) FOR SPECIFIC DETECTION OF BACILLUS ANTHRACIS CELLS. International Journal of Pharma and Bio Sciences. 3 indexed citations
15.
Uppalapati, Siva R., Joseph J. Kingston, H. S. Murali, & Harsh Vardhan Batra. (2012). Generation and characterization of an inter-generic bivalent alpha domain fusion protein αCS from Clostridium perfringens and Staphylococcus aureus for concurrent diagnosis and therapeutic applications. Journal of Applied Microbiology. 113(2). 448–458. 12 indexed citations
16.
Dull, Randal O., et al.. (2011). Lung heparan sulfates modulate Kfc during increased vascular pressure: evidence for glycocalyx-mediated mechanotransduction. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(9). L816–L828. 51 indexed citations
17.
Kingston, Joseph J., et al.. (2009). Molecular characterization of Vibrio cholerae isolates from cholera outbreaks in north India. The Journal of Microbiology. 47(1). 110–115. 9 indexed citations
18.
Kingston, Joseph J., et al.. (2009). Antimicrobial susceptibility and molecular characterization of Vibrio cholerae from cholera outbreaks in Chennai. Indian Journal of Microbiology. 49(1). 84–88. 6 indexed citations
19.
Tuteja, Urmil, et al.. (2007). Simultaneous direct detection of toxigenic and non-toxigenic Vibrio cholerae from rectal swabs and environmental samples by sandwich ELISA. Journal of Medical Microbiology. 56(10). 1340–1345. 17 indexed citations
20.
Kingston, Joseph J., et al.. (2002). On-line use of near infrared spectroscopy in a Sugar Analysis System (SAS).. 404–410. 6 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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