Nam Joong Kim
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research 42
- Antimicrobial Resistance in Staphylococcus 37
- COVID-19 Clinical Research Studies 30
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- Antibiotic Use and Resistance 17
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 26
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 39
- Modeling and Simulation top 1%
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- Streptococcal Infections and Treatments 20
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- Infectious Diseases and Tuberculosis 18
- Co-authors
- Myoung‐don OhHong Bin KimWan Beom ParkPyoeng Gyun ChoeKyoung‐Ho SongSang‐Won ParkNak‐Hyun KimEu Suk Kim
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Nam Joong Kim
257 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Infectious Diseases 4.1k
- Applied Microbiology and Biotechnology 345
- Molecular Medicine 770
- Clinical Biochemistry 788
- Modeling and Simulation 294
Countries citing papers authored by Nam Joong Kim
This map shows the geographic impact of Nam Joong 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 Nam Joong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam Joong Kim more than expected).
Fields of papers citing papers by Nam Joong Kim
This network shows the impact of papers produced by Nam Joong 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 Nam Joong Kim. The network helps show where Nam Joong Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nam Joong Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 158 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 70 | |
| 14 | 2017 | 11 | |
| 15 | 2016 | 156 | |
| 16 | 2016 | 10 | |
| 17 | 2016 | 12 | |
| 18 | 2015 | 44 | |
| 19 | 2011 | 101 | |
| 20 | Ultrasonography of abdominal organs in Common Marmoset(Callithrix jacchus) | 2001 | 1 |
About Nam Joong Kim
Nam Joong Kim is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 264 papers that have together received 6.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (42 papers), Bacterial Identification and Susceptibility Testing (39 papers), Antimicrobial Resistance in Staphylococcus (37 papers), COVID-19 Clinical Research Studies (30 papers), Antibiotic Resistance in Bacteria (26 papers), Streptococcal Infections and Treatments (20 papers), Infectious Diseases and Tuberculosis (18 papers) and Antibiotic Use and Resistance (17 papers). The work is most often cited by research in Infectious Diseases (4.1k citations), Applied Microbiology and Biotechnology (345 citations) and Molecular Medicine (770 citations). Nam Joong Kim has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Myoung‐don Oh, Hong Bin Kim, Wan Beom Park, Pyoeng Gyun Choe, Kyoung‐Ho Song, Sang‐Won Park, Nak‐Hyun Kim, Eu Suk Kim, Ji Hwan Bang and Kang Won Choe. Their work appears in journals such as Nature, Nature Communications and Annals of Internal Medicine.
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.