Amy R. Sapkota

5.4k total citations · 1 hit paper
86 papers, 3.1k citations indexed

About

Amy R. Sapkota is a scholar working on Food Science, Molecular Biology and Water Science and Technology. According to data from OpenAlex, Amy R. Sapkota has authored 86 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Food Science, 22 papers in Molecular Biology and 21 papers in Water Science and Technology. Recurrent topics in Amy R. Sapkota's work include Salmonella and Campylobacter epidemiology (19 papers), Fecal contamination and water quality (18 papers) and Gut microbiota and health (16 papers). Amy R. Sapkota is often cited by papers focused on Salmonella and Campylobacter epidemiology (19 papers), Fecal contamination and water quality (18 papers) and Gut microbiota and health (16 papers). Amy R. Sapkota collaborates with scholars based in United States, China and France. Amy R. Sapkota's co-authors include Amir Sapkota, Shawn McKenzie, Polly Walker, Rachel E. Rosenberg Goldstein, Robert Lawrence, Janelle M. Burke, Emmanuel F. Mongodin, Kellogg J. Schwab, Xin He and Kristen E. Gibson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Amy R. Sapkota

82 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aquaculture practices and potential human health risks: Current knowledge and future priorities

2008 673 citations Amir Sapkota, Amir Sapkota et al. Environment International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy R. Sapkota United States	26	847	689	594	458	435	86	3.1k
Etinosa O. Igbinosa Nigeria	28	592 0.7×	798 1.2×	620 1.0×	222 0.5×	429 1.0×	90	3.1k
A. A. Mohamed Hatha India	26	455 0.5×	543 0.8×	532 0.9×	165 0.4×	706 1.6×	154	2.6k
Robinson H. Mdegela Tanzania	30	494 0.6×	345 0.5×	485 0.8×	517 1.1×	367 0.8×	105	2.3k
Uchechukwu U. Nwodo South Africa	33	443 0.5×	745 1.1×	486 0.8×	179 0.4×	132 0.3×	133	3.4k
Jay P. Graham United States	31	761 0.9×	261 0.4×	411 0.7×	254 0.6×	123 0.3×	97	3.3k
Bjørn Tore Lunestad Norway	29	719 0.8×	595 0.9×	356 0.6×	277 0.6×	762 1.8×	94	2.7k
Abdennaceur Hassen Tunisia	30	1.0k 1.2×	495 0.7×	292 0.5×	550 1.2×	73 0.2×	155	3.5k
Alejandro Amézquita United Kingdom	21	1.2k 1.4×	535 0.8×	662 1.1×	219 0.5×	126 0.3×	36	2.5k
Maria Inês Zanoli Sato Brazil	27	369 0.4×	314 0.5×	287 0.5×	291 0.6×	145 0.3×	113	2.2k
Keeve E. Nachman United States	33	922 1.1×	374 0.5×	610 1.0×	1.4k 2.9×	210 0.5×	101	3.9k

Countries citing papers authored by Amy R. Sapkota

Since Specialization

Citations

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

Fields of papers citing papers by Amy R. Sapkota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy R. Sapkota. 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 Amy R. Sapkota. The network helps show where Amy R. Sapkota may publish in the future.

Co-authorship network of co-authors of Amy R. Sapkota

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

All Works

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20 of 20 papers shown

Brumfield, Kyle D., Suhana Chattopadhyay, Leena Malayil, et al.. (2024). Antibiotic resistance trends among Vibrio vulnificus and Vibrio parahaemolyticus isolated from the Chesapeake Bay, Maryland: a longitudinal study. Applied and Environmental Microbiology. 90(6). e0053924–e0053924. 7 indexed citations

Zhu, Linyan, Suhana Chattopadhyay, Leena Malayil, et al.. (2023). Biochar and zero-valent iron sand filtration simultaneously removes contaminants of emerging concern and Escherichia coli from wastewater effluent. Biochar. 5(1). 8 indexed citations

Brumfield, Kyle D., et al.. (2023). Increased incidence of vibriosis in Maryland, U.S.A., 2006–2019. Environmental Research. 244. 117940–117940. 17 indexed citations

Chattopadhyay, Suhana, Leena Malayil, Emmanuel F. Mongodin, & Amy R. Sapkota. (2021). A roadmap from unknowns to knowns: Advancing our understanding of the microbiomes of commercially available tobacco products. Applied Microbiology and Biotechnology. 105(7). 2633–2645. 21 indexed citations

He, Hao, Jochen G. Raimann, Peter Kotanko, et al.. (2021). Combined effects of air pollution and extreme heat events among ESKD patients within the Northeastern United States. The Science of The Total Environment. 812. 152481–152481. 10 indexed citations

Chattopadhyay, Suhana, Justin D. Arnold, Leena Malayil, et al.. (2021). Potential role of the skin and gut microbiota in premenarchal vulvar lichen sclerosus: A pilot case-control study. PLoS ONE. 16(1). e0245243–e0245243. 23 indexed citations

Zhu, Linyan, et al.. (2020). Impact of high precipitation and temperature events on the distribution of emerging contaminants in surface water in the Mid-Atlantic, United States. The Science of The Total Environment. 755(Pt 2). 142552–142552. 38 indexed citations

Samad, Nandeeta, Amy R. Sapkota, Katia Iskandar, et al.. (2020). Convalescent Plasma Therapy for Management of COVID-19: Perspectives and Deployment in the Current Global Pandemic. SHILAP Revista de lepidopterología. 1 indexed citations

Chopyk, Jessica, Daniel J. Nasko, Sarah M. Allard, et al.. (2020). Seasonal dynamics in taxonomy and function within bacterial and viral metagenomic assemblages recovered from a freshwater agricultural pond. Environmental Microbiome. 15(1). 18–18. 18 indexed citations

10.

Kulkarni, Prachi, Anthony Bui, Kalmia E. Kniel, et al.. (2019). Zerovalent iron-sand filtration can reduce the concentration of multiple antimicrobials in conventionally treated reclaimed water. Environmental Research. 172. 301–309. 16 indexed citations

11.

Craddock, Hillary A., et al.. (2019). Antibiotic and herbicide concentrations in household greywater reuse systems and pond water used for food crop irrigation: West Bank, Palestinian Territories. The Science of The Total Environment. 699. 134205–134205. 41 indexed citations

12.

Chopyk, Jessica, Daniel J. Nasko, Sarah M. Allard, et al.. (2019). Comparative metagenomic analysis of microbial taxonomic and functional variations in untreated surface and reclaimed waters used in irrigation applications. Water Research. 169. 115250–115250. 27 indexed citations

13.

Kulkarni, Prachi, Nathan D. Olson, Rachel E. Rosenberg Goldstein, et al.. (2017). Antibiotic Concentrations Decrease during Wastewater Treatment but Persist at Low Levels in Reclaimed Water. International Journal of Environmental Research and Public Health. 14(6). 668–668. 91 indexed citations

14.

Smyth, Eoghan M., Prachi Kulkarni, Stephen B. Stanfill, et al.. (2017). Smokeless tobacco products harbor diverse bacterial microbiota that differ across products and brands. Applied Microbiology and Biotechnology. 101(13). 5391–5403. 37 indexed citations

15.

Shaw, Kristi S., Raul Cruz‐Cano, Chengsheng Jiang, et al.. (2016). Presence of animal feeding operations and community socioeconomic factors impact salmonellosis incidence rates: An ecological analysis using data from the Foodborne Diseases Active Surveillance Network (FoodNet), 2004–2010. Environmental Research. 150. 166–172. 12 indexed citations

16.

Jiang, Chengsheng, Kristi S. Shaw, Crystal Romeo Upperman, et al.. (2015). Climate change, extreme events and increased risk of salmonellosis in Maryland, USA: Evidence for coastal vulnerability. Environment International. 83. 58–62. 86 indexed citations

17.

Shaw, Kristi S., Amy R. Sapkota, John M. Jacobs, Xin He, & Byron C. Crump. (2014). Recreational swimmers' exposure to Vibrio vulnificus and Vibrio parahaemolyticus in the Chesapeake Bay, Maryland, USA. Environment International. 74. 99–105. 25 indexed citations

18.

Micallef, Shirley A., Rachel E. Rosenberg Goldstein, Ashish George, et al.. (2013). Diversity, distribution and antibiotic resistance of Enterococcus spp. recovered from tomatoes, leaves, water and soil on U.S. Mid-Atlantic farms. Food Microbiology. 36(2). 465–474. 53 indexed citations

19.

Sapkota, Amy R., R.M. Hulet, Guangyu Zhang, et al.. (2011). Lower Prevalence of Antibiotic-Resistant Enterococci on U.S. Conventional Poultry Farms that Transitioned to Organic Practices. Environmental Health Perspectives. 119(11). 1622–1628. 55 indexed citations

20.

Sapkota, Amir, Amir Sapkota, Amy R. Sapkota, et al.. (2008). Aquaculture practices and potential human health risks: Current knowledge and future priorities. Environment International. 34(8). 1215–1226. 673 indexed citations breakdown →

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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