Nak‐Hyun Kim
- Infectious Diseases top 1%
- Epidemiology top 5%
- Clinical Biochemistry top 1%
- Public Health, Environmental and Occupational Health top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Myoung‐don OhNam Joong KimPyoeng Gyun ChoeHong Bin KimKyoung‐Ho SongWan Beom ParkJongyoun YiSu Jin Choi
- Topics
- Bacterial Identification and Susceptibility Testing (21 papers)Antimicrobial Resistance in Staphylococcus (14 papers)Streptococcal Infections and Treatments (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Nak‐Hyun Kim
80 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 1.4k
- Epidemiology 595
- Clinical Biochemistry 414
- Public Health, Environmental and Occupational Health 358
- Ecology, Evolution, Behavior and Systematics 318
Countries citing papers authored by Nak‐Hyun Kim
This map shows the geographic impact of Nak‐Hyun Kim'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 Nak‐Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nak‐Hyun Kim more than expected).
Fields of papers citing papers by Nak‐Hyun Kim
This network shows the impact of papers produced by Nak‐Hyun Kim. 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 Nak‐Hyun Kim. The network helps show where Nak‐Hyun Kim may publish in the future.
Co-authorship network of co-authors of Nak‐Hyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Nak‐Hyun Kim. A scholar is included among the top collaborators of Nak‐Hyun Kim 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 Nak‐Hyun Kim. Nak‐Hyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 60 | |
| 16 | 19 | |
| 17 | 44 | |
| 18 | 24 | |
| 19 | In response: Routine sterile gloving and contamination rates in blood culture | 0 |
| 20 | Effect of Routine Sterile Gloving on Contamination Rates in Blood Culture | 6 |
About Nak‐Hyun Kim
Nak‐Hyun Kim is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (21 papers), Antimicrobial Resistance in Staphylococcus (14 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Applied Microbiology and Biotechnology (132 citations) and Clinical Biochemistry (414 citations). Nak‐Hyun Kim has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Myoung‐don Oh, Nam Joong Kim, Pyoeng Gyun Choe, Hong Bin Kim, Kyoung‐Ho Song, Wan Beom Park, Jongyoun Yi, Su Jin Choi, Jong‐Koo Lee and Gayeon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.