Mamata Gurung

1.1k total citations
15 papers, 889 citations indexed

About

Mamata Gurung is a scholar working on Molecular Medicine, Endocrinology and Pollution. According to data from OpenAlex, Mamata Gurung has authored 15 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Medicine, 5 papers in Endocrinology and 4 papers in Pollution. Recurrent topics in Mamata Gurung's work include Antibiotic Resistance in Bacteria (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Salmonella and Campylobacter epidemiology (3 papers). Mamata Gurung is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Salmonella and Campylobacter epidemiology (3 papers). Mamata Gurung collaborates with scholars based in South Korea and Nepal. Mamata Gurung's co-authors include Je Chul Lee, Jung Hwa Lee, Dong Chan Moon, Seung Il Kim, Migma Dorji Tamang, Suk‐Kyung Lim, Suk-Chan Jung, Geum-Chan Jang, Jong Sook Jin and Yoo Chul Lee and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Clinical Microbiology.

In The Last Decade

Mamata Gurung

15 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mamata Gurung South Korea 13 372 306 251 233 213 15 889
J. Croizé France 20 430 1.2× 307 1.0× 318 1.3× 133 0.6× 200 0.9× 78 1.2k
Gabriela Algorta Uruguay 17 216 0.6× 151 0.5× 394 1.6× 80 0.3× 266 1.2× 49 923
Joseph E. Rubin Canada 21 400 1.1× 380 1.2× 222 0.9× 145 0.6× 169 0.8× 59 1.4k
H. Vu Thien France 15 323 0.9× 214 0.7× 284 1.1× 82 0.4× 204 1.0× 30 899
Silvia García-Cobos Spain 22 823 2.2× 323 1.1× 545 2.2× 258 1.1× 322 1.5× 40 1.5k
Jiunn‐Jong Wu Taiwan 23 525 1.4× 376 1.2× 204 0.8× 51 0.2× 369 1.7× 59 1.6k
Izabela Kern-Zdanowicz Poland 15 995 2.7× 291 1.0× 319 1.3× 58 0.2× 458 2.2× 31 1.4k
Hélène Réglier‐Poupet France 17 180 0.5× 213 0.7× 421 1.7× 124 0.5× 101 0.5× 25 1.2k
Timothy Kudinha Australia 24 528 1.4× 270 0.9× 670 2.7× 72 0.3× 363 1.7× 72 1.4k
Dorota Jamrozy United Kingdom 19 486 1.3× 258 0.8× 189 0.8× 46 0.2× 200 0.9× 41 943

Countries citing papers authored by Mamata Gurung

Since Specialization
Citations

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

Fields of papers citing papers by Mamata Gurung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamata Gurung

This figure shows the co-authorship network connecting the top 25 collaborators of Mamata Gurung. A scholar is included among the top collaborators of Mamata Gurung 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 Mamata Gurung. Mamata Gurung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Tamang, Migma Dorji, Mamata Gurung, Hyang-Mi Nam, et al.. (2015). Prevalence and characterization of Salmonella in pigs from conventional and organic farms and first report of S. serovar 1,4,[5],12:i:- from Korea. Veterinary Microbiology. 178(1-2). 119–124. 31 indexed citations
2.
Gurung, Mamata, Migma Dorji Tamang, Dong Chan Moon, et al.. (2015). Molecular Basis of Resistance to Selected Antimicrobial Agents in the Emerging Zoonotic Pathogen Streptococcus suis. Journal of Clinical Microbiology. 53(7). 2332–2336. 43 indexed citations
3.
Tamang, Migma Dorji, Mamata Gurung, Min-Su Kang, et al.. (2014). Characterization of plasmids encoding CTX-M β-lactamase and their addiction systems in Escherichia coli isolates from animals. Veterinary Microbiology. 174(3-4). 456–462. 18 indexed citations
4.
Tamang, Migma Dorji, Mamata Gurung, Hyang-Mi Nam, et al.. (2014). Antimicrobial Susceptibility and Virulence Characteristics of Salmonella enterica Typhimurium Isolates from Healthy and Diseased Pigs in Korea. Journal of Food Protection. 77(9). 1481–1486. 22 indexed citations
5.
Gurung, Mamata, Yoo Chul Lee, Hyung Sun Kim, et al.. (2013). Emergence and spread of carbapenem-resistant Acinetobacter baumannii sequence type 191 in a Korean hospital. Infection Genetics and Evolution. 19. 219–222. 14 indexed citations
6.
Gurung, Mamata, H.M. Nam, Migma Dorji Tamang, et al.. (2013). Prevalence and antimicrobial susceptibility of Acinetobacter from raw bulk tank milk in Korea. Journal of Dairy Science. 96(4). 1997–2002. 73 indexed citations
7.
Tamang, Migma Dorji, Mamata Gurung, H.M. Nam, et al.. (2013). Short communication: Genetic characterization of antimicrobial resistance in Acinetobacter isolates recovered from bulk tank milk. Journal of Dairy Science. 97(2). 704–709. 11 indexed citations
8.
Tamang, Migma Dorji, Hyang-Mi Nam, Mamata Gurung, et al.. (2013). Molecular Characterization of CTX-M β-Lactamase and Associated Addiction Systems in Escherichia coli Circulating among Cattle, Farm Workers, and the Farm Environment. Applied and Environmental Microbiology. 79(13). 3898–3905. 43 indexed citations
9.
Tamang, Migma Dorji, Hyang-Mi Nam, Myung Hwa Chae, et al.. (2012). Prevalence of Plasmid-Mediated Quinolone Resistance Determinants Among Escherichia coli Isolated from Food Animals in Korea. Foodborne Pathogens and Disease. 9(12). 1057–1063. 19 indexed citations
10.
Moon, Dong Chan, Mamata Gurung, Jung Hwa Lee, et al.. (2012). Screening of nuclear targeting proteins in Acinetobacter baumannii based on nuclear localization signals. Research in Microbiology. 163(4). 279–285. 9 indexed citations
11.
Jin, Jong Sook, Sang‐Oh Kwon, Dong Chan Moon, et al.. (2011). Acinetobacter baumannii Secretes Cytotoxic Outer Membrane Protein A via Outer Membrane Vesicles. PLoS ONE. 6(2). e17027–e17027. 208 indexed citations
12.
Gurung, Mamata, Dong Chan Moon, Chi Won Choi, et al.. (2011). Staphylococcus aureus Produces Membrane-Derived Vesicles That Induce Host Cell Death. PLoS ONE. 6(11). e27958–e27958. 188 indexed citations
13.
Gurung, Mamata, Dong Chan Moon, Migma Dorji Tamang, et al.. (2010). Emergence of 16S rRNA methylase gene armA and cocarriage of blaIMP-1 in Pseudomonas aeruginosa isolates from South Korea. Diagnostic Microbiology and Infectious Disease. 68(4). 468–470. 26 indexed citations
14.
Moon, Dong Chan, Sung Yong Seol, Mamata Gurung, et al.. (2009). Emergence of a new mutation and its accumulation in the topoisomerase IV gene confers high levels of resistance to fluoroquinolones in Escherichia coli isolates. International Journal of Antimicrobial Agents. 35(1). 76–79. 46 indexed citations
15.
Sreeramareddy, Chandrashekhar T, et al.. (2006). Frequency and susceptibility profile of pathogens causing urinary tract infections at a tertiary care hospital in western Nepal.. PubMed. 47(4). 281–5. 138 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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