Hyang-Mi Nam

66 total papers · 2.0k total citations
53 papers, 1.6k citations indexed

About

Hyang-Mi Nam is a scholar working on Food Science, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Hyang-Mi Nam has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 21 papers in Infectious Diseases and 19 papers in Molecular Medicine. Recurrent topics in Hyang-Mi Nam's work include Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (13 papers) and Pharmaceutical and Antibiotic Environmental Impacts (13 papers). Hyang-Mi Nam is often cited by papers focused on Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (13 papers) and Pharmaceutical and Antibiotic Environmental Impacts (13 papers). Hyang-Mi Nam collaborates with scholars based in South Korea, United States and Ethiopia. Hyang-Mi Nam's co-authors include Suk‐Kyung Lim, Suk-Chan Jung, Geum-Chan Jang, Hee-Soo Lee, Migma Dorji Tamang, Su-Ran Kim, Yong Ho Park, Jong-Man Kim, Velusamy Srinivasan and S.P. Oliver and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Hyang-Mi Nam

52 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hyang-Mi Nam	702	539	538	529	300	53	1.6k
M. Concepción Porrero	606 0.9×	608 1.1×	558 1.0×	393 0.7×	291 1.0×	38	1.5k
Suk-Chan Jung	755 1.1×	529 1.0×	564 1.0×	475 0.9×	279 0.9×	89	2.0k
John B. Barrett	597 0.9×	730 1.4×	493 0.9×	496 0.9×	314 1.0×	58	1.9k
Kanako Ishihara	671 1.0×	466 0.9×	573 1.1×	270 0.5×	347 1.2×	67	1.6k
Ann Letellier	1.1k 1.5×	668 1.2×	474 0.9×	416 0.8×	358 1.2×	84	2.4k
Lourdes Migura‐García	827 1.2×	758 1.4×	637 1.2×	486 0.9×	324 1.1×	73	2.0k
L.‐K. Ng	677 1.0×	370 0.7×	450 0.8×	324 0.6×	376 1.3×	37	1.6k
Modestas Ružauskas	772 1.1×	543 1.0×	376 0.7×	663 1.3×	262 0.9×	105	2.3k
Mohamed Salah Abbassi	450 0.6×	438 0.8×	830 1.5×	378 0.7×	478 1.6×	86	1.5k
Jamie Wasilenko	515 0.7×	528 1.0×	548 1.0×	509 1.0×	146 0.5×	30	1.8k

Countries citing papers authored by Hyang-Mi Nam

Since Specialization

Citations

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

Fields of papers citing papers by Hyang-Mi Nam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyang-Mi Nam. 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 Hyang-Mi Nam. The network helps show where Hyang-Mi Nam may publish in the future.

Co-authorship network of co-authors of Hyang-Mi Nam

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

All Works

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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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