Nackmoon Sung

1.2k citations
31 papers · 956 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 16
    • SARS-CoV-2 detection and testing 5
    • Mycobacterium research and diagnosis 17
    • Pneumonia and Respiratory Infections 4
    • Respiratory viral infections research 3

Nackmoon Sung

31 papers receiving 917 citations

Peers

Nackmoon Sung
Comparison fields: 5 of 87
  • Infectious Diseases 547
  • Molecular Medicine 89
  • Epidemiology 615
  • Small Animals 110
  • Endocrinology 35
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Citations per field
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Citations per year

Countries citing papers authored by Nackmoon Sung

Since Specialization
Citations

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

Fields of papers citing papers by Nackmoon Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nackmoon Sung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nackmoon Sung Line = papers co-authored together Nackmoon Sung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007236
2 1998146
3 200593
4 201154
5 200647
6 201046
7 200045
8 201343
9 200640
10 200339
11
Survival and predictors of outcomes in non-HIV-infected patients with extensively drug-resistant tuberculosis.
200935
12 202121
13 202117
14 200414
15 202111
16 201511
17 20219
18 20108
19 20226
20 20146

About Nackmoon Sung

Nackmoon Sung is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Small Animals, having authored 31 papers that have together received 956 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (17 papers), Tuberculosis Research and Epidemiology (16 papers), Infectious Diseases and Tuberculosis (6 papers), SARS-CoV-2 detection and testing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Pneumonia and Respiratory Infections (4 papers), Infectious Diseases and Mycology (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Infectious Diseases (547 citations), Molecular Medicine (89 citations), Epidemiology (615 citations), Small Animals (110 citations) and Endocrinology (35 citations). Nackmoon Sung has collaborated with scholars based in South Korea, United States and South Africa. Frequent co-authors include Michael T. Collins, Gilla Kaplan, Liana Tsenova, Edith E. Machowski, Valerie Mizrahi, Bavesh D Kana, Bhavna G. Gordhan, Katrina Downing, Arseny S. Kaprelyants and Michael Young. Their work appears in journals such as Applied and Environmental Microbiology, PLoS ONE, Molecular Microbiology, Analytical and Bioanalytical Chemistry and Chemical Communications.

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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