N H Won
Impact in
- Biotechnology top 10%
- Cancer Research and Treatments
-
- Cancer, Hypoxia, and Metabolism
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Jeong Hyeon Lee (1 shared paper)Jeong Hun Kim (1 shared paper)Eun Ho Kim (1 shared paper)Bon‐Hong Min (1 shared paper)Young-Jun Shim (1 shared paper)Donggeun Sul (4 shared papers)Eunil Lee (4 shared papers)Hosub Im (4 shared papers)
- Journals
- Journal of Proteome Research (1 paper)Environmental Toxicology and Pharmacology (1 paper)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (1 paper)Leukemia Research (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
N H Won
16 papers receiving 349 citations
Peers
Comparison fields: 5 of 79
- Biotechnology 91
- Cancer Research 105
- Health, Toxicology and Mutagenesis 63
- Chemical Health and Safety 3
- Nephrology 27
Countries citing papers authored by N H Won
This map shows the geographic impact of N H Won'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 N H Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N H Won more than expected).
Fields of papers citing papers by N H Won
This network shows the impact of papers produced by N H Won. 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 N H Won. The network helps show where N H Won may publish in the future.
Co-authors
The 25 scholars most cited alongside N H Won, 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 | 2006 | 140 | |
| 2 | 2006 | 46 | |
| 3 | 1999 | 40 | |
| 4 | Renal biopsy in elderly patients: clinicopathological correlation in 117 Korean patients. | 2001 | 25 |
| 5 | 2005 | 23 | |
| 6 | 2003 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2005 | 13 | |
| 10 | 2009 | 8 | |
| 11 | 2009 | 5 | |
| 12 | 1998 | 3 | |
| 13 | 2013 | 2 | |
| 14 | Usefulness of E-Cadherin Expression in Malignant Effusion | 1999 | 1 |
| 15 | A Case of Hepatocellular Adenoma. | 1997 | 1 |
| 16 | 2005 | 1 |
About N H Won
N H Won is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Epidemiology, Nephrology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Biomarkers in Disease Mechanisms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Glycosylation and Glycoproteins Research (1 paper), Vasculitis and related conditions (1 paper), Liver physiology and pathology (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Biotechnology (91 citations), Cancer Research (105 citations), Health, Toxicology and Mutagenesis (63 citations), Chemical Health and Safety (3 citations) and Nephrology (27 citations). N H Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeong Hyeon Lee, Jeong Hun Kim, Eun Ho Kim, Bon‐Hong Min, Young-Jun Shim, Donggeun Sul, Eunil Lee, Hosub Im, Hyung-Sik Kang and Eunha Oh. Their work appears in journals such as Journal of Proteome Research, Environmental Toxicology and Pharmacology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Leukemia Research and Toxicological Sciences.
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.