Bin Na Hong
- Molecular Biology
- Sensory Systems top 5%
- Plant Science
- Pharmacology top 5%
- Neurology top 10%
- Co-authors
- Tong Ho KangSun Yeou KimRodrigo Castañeda-MirandaTae‐Hoo YiIsabel RodríguezDeng CaiXiaofei HeSathishkumar Natarajan
- Topics
- Hearing, Cochlea, Tinnitus, Genetics (12 papers)Vestibular and auditory disorders (8 papers)Ginseng Biological Effects and Applications (7 papers)
- Cited by
- Sensory SystemsNeurologyPharmacology
- Journals
- Proceedings of the National Academy of SciencesAnnals of Internal MedicineJournal of Agricultural and Food Chemistry
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Bin Na Hong
72 papers receiving 976 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 340
- Sensory Systems 134
- Plant Science 121
- Pharmacology 118
- Neurology 118
Countries citing papers authored by Bin Na Hong
This map shows the geographic impact of Bin Na Hong'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 Bin Na Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Na Hong more than expected).
Fields of papers citing papers by Bin Na Hong
This network shows the impact of papers produced by Bin Na Hong. 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 Bin Na Hong. The network helps show where Bin Na Hong may publish in the future.
Co-authorship network of co-authors of Bin Na Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Na Hong. A scholar is included among the top collaborators of Bin Na Hong 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 Bin Na Hong. Bin Na Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction | 3 |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 26 | |
| 15 | 48 | |
| 16 | 10 | |
| 17 | Non-negative matrix factorization with sinkhorn distance | 20 |
| 18 | Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction | 16 |
| 19 | 5 | |
| 20 | 20 |
About Bin Na Hong
Bin Na Hong is a scholar working on Sensory Systems, Neurology and Pharmacology, having authored 77 papers that have together received 994 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (12 papers), Vestibular and auditory disorders (8 papers) and Ginseng Biological Effects and Applications (7 papers). The work is most often cited by research in Sensory Systems (134 citations), Neurology (118 citations) and Pharmacology (118 citations). Bin Na Hong has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Tong Ho Kang, Sun Yeou Kim, Rodrigo Castañeda-Miranda, Tae‐Hoo Yi, Isabel Rodríguez, Deng Cai, Xiaofei He, Sathishkumar Natarajan, Shuyi Si and Xingyue Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and Journal of Agricultural and Food Chemistry.
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.