Bledar Bisha

1.5k total citations
59 papers, 1.2k citations indexed

About

Bledar Bisha is a scholar working on Infectious Diseases, Biotechnology and Food Science. According to data from OpenAlex, Bledar Bisha has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 16 papers in Biotechnology and 14 papers in Food Science. Recurrent topics in Bledar Bisha's work include Listeria monocytogenes in Food Safety (16 papers), Biosensors and Analytical Detection (9 papers) and Antibiotic Resistance in Bacteria (9 papers). Bledar Bisha is often cited by papers focused on Listeria monocytogenes in Food Safety (16 papers), Biosensors and Analytical Detection (9 papers) and Antibiotic Resistance in Bacteria (9 papers). Bledar Bisha collaborates with scholars based in United States, Canada and France. Bledar Bisha's co-authors include Lawrence Goodridge, Charles S. Henry, Jaclyn A. Adkins, Byron F. Brehm‐Stecher, Katherine E. Boehle, Jeffrey C. Chandler, Aubrey F. Mendonça, Janet Simonson, Marlene Janes and Michelle D. Danyluk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Bledar Bisha

52 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
Bledar Bisha United States 15 625 547 224 216 212 59 1.2k
Jeffrey D. Brewster United States 19 611 1.0× 548 1.0× 118 0.5× 157 0.7× 139 0.7× 39 1.2k
Youxiong Zhang China 24 373 0.6× 829 1.5× 162 0.7× 437 2.0× 166 0.8× 60 1.6k
Andre Senecal United States 16 230 0.4× 308 0.6× 234 1.0× 282 1.3× 560 2.6× 30 1.1k
Qinghua Ye China 26 693 1.1× 1.1k 2.1× 193 0.9× 455 2.1× 239 1.1× 108 2.1k
Hari P. Dwivedi United States 12 583 0.9× 706 1.3× 180 0.8× 269 1.2× 226 1.1× 15 1.1k
Samuel D. Alcaine United States 18 274 0.4× 369 0.7× 102 0.5× 584 2.7× 291 1.4× 45 1.1k
Michael F. Slavik United States 24 508 0.8× 465 0.9× 226 1.0× 688 3.2× 106 0.5× 53 1.4k
Burton W. Blais Canada 24 262 0.4× 405 0.7× 305 1.4× 558 2.6× 194 0.9× 93 1.4k
Jiehong Fang China 18 304 0.5× 388 0.7× 68 0.3× 177 0.8× 91 0.4× 34 837

Countries citing papers authored by Bledar Bisha

Since Specialization
Citations

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

Fields of papers citing papers by Bledar Bisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bledar Bisha

This figure shows the co-authorship network connecting the top 25 collaborators of Bledar Bisha. A scholar is included among the top collaborators of Bledar Bisha 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 Bledar Bisha. Bledar Bisha 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.
Kassem, Issmat I., Khaled El Omari, Nahla O. Eltai, et al.. (2024). Genomic characterization of plasmid-borne colistin resistance variants, mcr-1.1 and mcr-1.26, in multidrug-resistant Escherichia coli isolated from backyard farm animals. Journal of Global Antimicrobial Resistance. 38. 194–197. 1 indexed citations
2.
Bisha, Bledar, et al.. (2024). Molecular Characterization of Listeria monocytogenes in the Food Chain of the Republic of Kosovo from 2016 to 2022. Foods. 13(18). 2883–2883. 2 indexed citations
3.
4.
Wulff, Shaun S., et al.. (2023). A time series based machine learning strategy for wastewater-based forecasting and nowcasting of COVID-19 dynamics. The Science of The Total Environment. 897. 165105–165105. 18 indexed citations
5.
Bisha, Bledar, et al.. (2023). Effect of Food Matrix and Treatment Time on the Effectiveness of Grape Seed Extract as an Antilisterial Treatment in Fresh Produce. Microorganisms. 11(4). 1029–1029. 6 indexed citations
6.
Osman, Marwan, Khaled El Omari, Bledar Bisha, et al.. (2023). Multidrug-resistant pathogens contaminate river water used in irrigation in disenfranchised communities. Journal of Global Antimicrobial Resistance. 36. 175–180. 3 indexed citations
7.
Chandler, Jeffrey C., Nicolas A. Blouin, James C. Carlson, et al.. (2020). The Role of European Starlings (Sturnus vulgaris) in the Dissemination of Multidrug-Resistant Escherichia coli among Concentrated Animal Feeding Operations. Scientific Reports. 10(1). 8093–8093. 20 indexed citations
8.
Stahl, Randal S., Bledar Bisha, Sebabrata Mahapatra, & Jeffrey C. Chandler. (2019). A model for the prediction of antimicrobial resistance in Escherichia coli based on a comparative evaluation of fatty acid profiles. Diagnostic Microbiology and Infectious Disease. 96(3). 114966–114966. 2 indexed citations
9.
Chandler, Jeffrey C., et al.. (2018). Short communication: A countrywide survey of antimicrobial-resistant indicator bacteria in Kosovo's dairy farms. Journal of Dairy Science. 101(8). 6982–6989. 1 indexed citations
10.
Chandler, Jeffrey C., Joshua W. Schaeffer, Margaret Davidson, et al.. (2017). A method for the improved detection of aerosolized influenza viruses and the male-specific (F+) RNA coliphage MS2. Journal of Virological Methods. 246. 38–41. 1 indexed citations
11.
Bisha, Bledar, et al.. (2017). Transmission and Persistence of Salmonella enterica in Nutrient Solution of Hydroponic Greenhouse Grown Tomatoes. HortScience. 52(5). 713–718. 2 indexed citations
12.
Harris, Linda J., et al.. (2016). Prevalence and Amounts of Salmonella Found on Raw California Inshell Pistachios. Journal of Food Protection. 79(8). 1304–1315. 31 indexed citations
13.
Chandler, Jeffrey C., et al.. (2016). Field-based evaluation of a male-specific (F+) RNA coliphage concentration method. Journal of Virological Methods. 239. 9–16. 1 indexed citations
14.
Chandler, Jeffrey C., et al.. (2014). Evaluation of an anion exchange resin-based method for concentration of F-RNA coliphages (enteric virus indicators) from water samples. Journal of Virological Methods. 204. 109–115. 8 indexed citations
15.
Bisha, Bledar, et al.. (2011). Improved DNA-FISH for cytometric detection ofCandidaspp. Journal of Applied Microbiology. 110(4). 881–892. 11 indexed citations
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18.
Bisha, Bledar & Byron F. Brehm‐Stecher. (2010). Combination of Adhesive-tape-based Sampling and Fluorescence <em>in situ</em> Hybridization for Rapid Detection of <em>Salmonella</em> on Fresh Produce. Journal of Visualized Experiments. 11 indexed citations
19.
Bisha, Bledar, et al.. (2010). Antilisterial Effects of Gravinol-S Grape Seed Extract at Low Levels in Aqueous Media and Its Potential Application as a Produce Wash. Journal of Food Protection. 73(2). 266–273. 41 indexed citations
20.
Bisha, Bledar & Byron F. Brehm‐Stecher. (2009). Flow‐through imaging cytometry for characterization of Salmonella subpopulations in alfalfa sprouts, a complex food system. Biotechnology Journal. 4(6). 880–887. 13 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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