Charles Nkufi Tango

1.3k total citations
26 papers, 1.0k citations indexed

About

Charles Nkufi Tango is a scholar working on Biotechnology, Food Science and Molecular Biology. According to data from OpenAlex, Charles Nkufi Tango has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biotechnology, 12 papers in Food Science and 7 papers in Molecular Biology. Recurrent topics in Charles Nkufi Tango's work include Listeria monocytogenes in Food Safety (18 papers), Microbial Inactivation Methods (14 papers) and Meat and Animal Product Quality (7 papers). Charles Nkufi Tango is often cited by papers focused on Listeria monocytogenes in Food Safety (18 papers), Microbial Inactivation Methods (14 papers) and Meat and Animal Product Quality (7 papers). Charles Nkufi Tango collaborates with scholars based in South Korea, Democratic Republic of the Congo and United States. Charles Nkufi Tango's co-authors include Deog‐Hwan Oh, Imran Khan, Deog Hwan Oh, Mohammad Shakhawat Hussain, Sumaira Miskeen, Byong H. Lee, Ahmad Rois Mansur, Ramachandran Chelliah, Eric Banan‐Mwine Daliri and Hyunji Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Carbohydrate Polymers.

In The Last Decade

Charles Nkufi Tango

26 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Nkufi Tango South Korea 20 471 401 241 202 160 26 1.0k
Peter Muranyi Germany 20 348 0.7× 379 0.9× 169 0.7× 148 0.7× 252 1.6× 40 1.2k
Lina Sheng United States 22 321 0.7× 391 1.0× 460 1.9× 395 2.0× 179 1.1× 64 1.4k
Joseph Sites United States 24 934 2.0× 552 1.4× 253 1.0× 145 0.7× 288 1.8× 42 1.7k
Valentina Trinetta United States 21 328 0.7× 568 1.4× 225 0.9× 89 0.4× 197 1.2× 54 990
Binghuei Barry Yang Taiwan 11 467 1.0× 485 1.2× 181 0.8× 84 0.4× 161 1.0× 13 1.0k
Chyer Kim United States 16 820 1.7× 704 1.8× 142 0.6× 313 1.5× 227 1.4× 35 1.4k
Faith Critzer United States 20 459 1.0× 699 1.7× 173 0.7× 86 0.4× 242 1.5× 50 1.2k
Ruiling Lv China 19 300 0.6× 832 2.1× 356 1.5× 84 0.4× 252 1.6× 46 1.4k
Abigail B. Snyder United States 17 296 0.6× 479 1.2× 228 0.9× 76 0.4× 191 1.2× 54 903
Barbara Sokołowska Poland 16 369 0.8× 506 1.3× 331 1.4× 79 0.4× 126 0.8× 80 1.0k

Countries citing papers authored by Charles Nkufi Tango

Since Specialization
Citations

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

Fields of papers citing papers by Charles Nkufi Tango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Nkufi Tango. 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 Charles Nkufi Tango. The network helps show where Charles Nkufi Tango may publish in the future.

Co-authorship network of co-authors of Charles Nkufi Tango

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Nkufi Tango. A scholar is included among the top collaborators of Charles Nkufi Tango 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 Charles Nkufi Tango. Charles Nkufi Tango 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.
Tango, Charles Nkufi, et al.. (2020). Taxonomic and Functional Differences in Cervical Microbiome Associated with Cervical Cancer Development. Scientific Reports. 10(1). 9720–9720. 53 indexed citations
2.
3.
Khan, Imran, et al.. (2019). Development of antimicrobial edible coating based on modified chitosan for the improvement of strawberries shelf life. Food Science and Biotechnology. 28(4). 1257–1264. 27 indexed citations
4.
5.
Rubab, Momna, Kandasamy Saravanakumar, Imran Khan, et al.. (2018). Preservative effect of Chinese cabbage (Brassica rapa subsp. pekinensis) extract on their molecular docking, antioxidant and antimicrobial properties. PLoS ONE. 13(10). e0203306–e0203306. 25 indexed citations
6.
Hussain, Mohammad Shakhawat, et al.. (2018). Effect of Electrolyzed Water on the Disinfection of Bacillus cereus Biofilms: The Mechanism of Enhanced Resistance of Sessile Cells in the Biofilm Matrix. Journal of Food Protection. 81(5). 860–869. 17 indexed citations
7.
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Tango, Charles Nkufi, Simen Akkermans, Mohammad Shakhawat Hussain, et al.. (2018). Modeling the effect of pH, water activity, and ethanol concentration on biofilm formation of Staphylococcus aureus. Food Microbiology. 76. 287–295. 33 indexed citations
9.
Daliri, Eric Banan‐Mwine, Charles Nkufi Tango, Byong H. Lee, & Deog‐Hwan Oh. (2018). Human microbiome restoration and safety. International Journal of Medical Microbiology. 308(5). 487–497. 31 indexed citations
10.
Hussain, Mohammad Shakhawat, Charles Nkufi Tango, & Deog Hwan Oh. (2018). Inactivation kinetics of slightly acidic electrolyzed water combined with benzalkonium chloride and mild heat treatment on vegetative cells, spores, and biofilms of Bacillus cereus. Food Research International. 116. 157–167. 43 indexed citations
11.
Tango, Charles Nkufi, Shuai Wei, Imran Khan, et al.. (2018). Microbiological Quality and Safety of Fresh Fruits and Vegetables at Retail Levels in Korea. Journal of Food Science. 83(2). 386–392. 51 indexed citations
12.
Khan, Imran, et al.. (2017). Evaluation of nisin-loaded chitosan-monomethyl fumaric acid nanoparticles as a direct food additive. Carbohydrate Polymers. 184. 100–107. 49 indexed citations
13.
Tango, Charles Nkufi, et al.. (2017). Slightly acidic electrolyzed water combined with chemical and physical treatments to decontaminate bacteria on fresh fruits. Food Microbiology. 67. 97–105. 80 indexed citations
14.
Khan, Imran, et al.. (2016). Prevalence and control of Listeria monocytogenes in the food industry - a review. Czech Journal of Food Sciences. 34(6). 469–487. 12 indexed citations
15.
Khan, Imran, Charles Nkufi Tango, Sumaira Miskeen, Byong H. Lee, & Deog‐Hwan Oh. (2016). Hurdle technology: A novel approach for enhanced food quality and safety – A review. Food Control. 73. 1426–1444. 176 indexed citations
16.
Tango, Charles Nkufi, Jin Hee Park, & Deog H. Oh. (2015). An experimental validated in silico model to assess Staphylococcus aureus growth kinetics on different pork products. Journal of Applied Microbiology. 120(3). 684–696. 9 indexed citations
17.
Tango, Charles Nkufi, et al.. (2014). Bacteriological Quality of Vegetables from Organic and Conventional Production in Different Areas of Korea. Journal of Food Protection. 77(8). 1411–1417. 31 indexed citations
18.
19.
Tango, Charles Nkufi, Jun Wang, & Deog Hwan Oh. (2014). Modeling of Bacillus cereus Growth in Brown Rice Submitted to a Combination of Ultrasonication and Slightly Acidic Electrolyzed Water Treatment. Journal of Food Protection. 77(12). 2043–2053. 10 indexed citations
20.
Tango, Charles Nkufi, et al.. (2014). Synergetic effect of combined fumaric acid and slightly acidic electrolysed water on the inactivation of food-borne pathogens and extending the shelf life of fresh beef. Journal of Applied Microbiology. 117(6). 1709–1720. 37 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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