Sang-Do Ha

941 total citations
33 papers, 727 citations indexed

About

Sang-Do Ha is a scholar working on Food Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Sang-Do Ha has authored 33 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Food Science, 14 papers in Molecular Biology and 9 papers in Biotechnology. Recurrent topics in Sang-Do Ha's work include Bacterial biofilms and quorum sensing (11 papers), Listeria monocytogenes in Food Safety (9 papers) and Salmonella and Campylobacter epidemiology (6 papers). Sang-Do Ha is often cited by papers focused on Bacterial biofilms and quorum sensing (11 papers), Listeria monocytogenes in Food Safety (9 papers) and Salmonella and Campylobacter epidemiology (6 papers). Sang-Do Ha collaborates with scholars based in South Korea, United States and Bangladesh. Sang-Do Ha's co-authors include Md. Furkanur Rahaman Mizan, Md. Ashrafudoulla, Pantu Kumar Roy, Sazzad Hossen Toushik, Si Hong Park, Md. Iqbal Hossain, Shamsun Nahar Begum, Kye-Hwan Byun, Iqbal Kabir Jahid and Yu Kyung Kim and has published in prestigious journals such as Frontiers in Microbiology, Marine Pollution Bulletin and Food Research International.

In The Last Decade

Sang-Do Ha

30 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang-Do Ha South Korea 15 379 320 187 158 91 33 727
Sazzad Hossen Toushik South Korea 14 409 1.1× 306 1.0× 185 1.0× 126 0.8× 56 0.6× 15 695
Pradeep K. Malakar China 18 378 1.0× 317 1.0× 265 1.4× 318 2.0× 186 2.0× 47 980
Kim Hermans Belgium 8 490 1.3× 309 1.0× 110 0.6× 212 1.3× 43 0.5× 11 767
Young‐Min Bae South Korea 18 346 0.9× 413 1.3× 333 1.8× 144 0.9× 27 0.3× 58 949
Lucía Rivas New Zealand 15 225 0.6× 360 1.1× 171 0.9× 186 1.2× 30 0.3× 28 717
Zhaohuan Zhang China 19 449 1.2× 238 0.7× 161 0.9× 360 2.3× 230 2.5× 51 976
Maria Cristina Dantas Vanetti Brazil 12 266 0.7× 265 0.8× 107 0.6× 89 0.6× 33 0.4× 16 516
José M. Rodríguez-Calleja Spain 18 127 0.3× 252 0.8× 123 0.7× 166 1.1× 157 1.7× 29 754
Nefise Akçelik Türkiye 18 516 1.4× 605 1.9× 196 1.0× 165 1.0× 43 0.5× 82 1.0k
Anika Friese Germany 22 322 0.8× 407 1.3× 114 0.6× 251 1.6× 50 0.5× 53 1.5k

Countries citing papers authored by Sang-Do Ha

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Do Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Do Ha. 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 Sang-Do Ha. The network helps show where Sang-Do Ha may publish in the future.

Co-authorship network of co-authors of Sang-Do Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Do Ha. A scholar is included among the top collaborators of Sang-Do Ha 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 Sang-Do Ha. Sang-Do Ha 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.
Ashrafudoulla, Md., et al.. (2025). Biofilm formation and analysis of EPS architecture comprising polysaccharides and lipids by Pseudomonas aeruginosa and Escherichia coli on food processing surfaces. Food Research International. 209. 116274–116274. 10 indexed citations
3.
Ashrafudoulla, Md., et al.. (2025). CRISPR–Cas systems as emerging tools for precision biofilm control for food safety: Mechanisms and applications. Food Research International. 222(Pt 2). 117803–117803. 1 indexed citations
4.
Ashrafudoulla, Md., et al.. (2025). Antibiofilm potential of naringenin against Pseudomonas aeruginosa and Escherichia coli on food-processing surfaces. Food Bioscience. 71. 107379–107379. 1 indexed citations
5.
Jang, Woo Jin, et al.. (2024). Determination of naturally derived propionic, benzoic, and sorbic acids in seafood, meats, and fruits during storage. Journal of Food Composition and Analysis. 137. 106897–106897. 2 indexed citations
6.
Ashrafudoulla, Md., et al.. (2024). Prophylactic efficacy of baicalin and carvacrol against Salmonella Typhimurium biofilm on food and food contact surfaces. Food Research International. 187. 114458–114458. 20 indexed citations
7.
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Ashrafudoulla, Md., et al.. (2024). Seafood and biofilm: Mitigation strategies for food safety. Food Control. 168. 110932–110932. 8 indexed citations
9.
Ha, Sang-Do, et al.. (2024). Development of poly(lactic acid)-based natural antimicrobial film incorporated with caprylic acid against Salmonella biofilm contamination in the meat industry. International Journal of Food Microbiology. 425. 110871–110871. 5 indexed citations
10.
11.
Byun, Kye-Hwan, et al.. (2024). Efficacy of disinfectant and bacteriophage mixture against planktonic and biofilm state of Listeria monocytogenes to control in the food industry. International Journal of Food Microbiology. 413. 110587–110587. 15 indexed citations
12.
Yu, Jun, et al.. (2024). Evaluation of a Compact Dry Method for Enumerating Bacteria in Contaminated Foods. Journal of Food Hygiene and Safety. 39(4). 304–311.
13.
14.
Ashrafudoulla, Md., Md. Iqbal Hossain, Md. Furkanur Rahaman Mizan, et al.. (2021). Molecular and pathogenic characterization of Vibrio parahaemolyticus isolated from seafood. Marine Pollution Bulletin. 172. 112927–112927. 34 indexed citations
15.
Roy, Pantu Kumar, Md. Furkanur Rahaman Mizan, Md. Iqbal Hossain, et al.. (2021). Effects of environmental conditions (temperature, pH, and glucose) on biofilm formation of Salmonella enterica serotype Kentucky and virulence gene expression. Poultry Science. 100(7). 101209–101209. 96 indexed citations
16.
Ashrafudoulla, Md., Md. Furkanur Rahaman Mizan, Kye-Hwan Byun, et al.. (2019). Genetic Relationship, Virulence Factors, Drug Resistance Profile and Biofilm Formation Ability of Vibrio parahaemolyticus Isolated From Mussel. Frontiers in Microbiology. 10. 513–513. 77 indexed citations
17.
Kim, Seok-Won, et al.. (2014). Synergistic Effects of Ultrasound and Sodium Hypochlorite (NaOCl) on Reducing Listeria monocytogenes ATCC19118 in Broth, Stainless Steel, and Iceberg Lettuce. Foodborne Pathogens and Disease. 11(7). 581–587. 32 indexed citations
18.
Jahid, Iqbal Kabir, et al.. (2014). Evaluation of the Removal and Destruction Effect of a Chlorine and Thiamine Dilaurylsulfate Combined Treatment on L. monocytogenes Biofilm. Foodborne Pathogens and Disease. 11(8). 658–663. 15 indexed citations
19.
Ha, Sang-Do, et al.. (2013). Assessment of exposure of Korean consumers to acesulfame K and sucralose using a stepwise approach. International Journal of Food Sciences and Nutrition. 64(6). 715–723. 15 indexed citations
20.
Park, Sangkyu, et al.. (2004). Changes in Quality of Pine Nuts (Pinus koraiensis) and Walnuts (Juglans regia) Coated with Protein Film Containing Green Tea Extract during Storage. Korean Journal of Food Science and Technology. 36(5). 842–846. 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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