Mina Hur
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
Papers in
- Epidemiology 47
- Sepsis Diagnosis and Treatment 18
- Physiology 36
- Clinical Laboratory Practices and Quality Control 24
- Co-authors
- Hee‐Won Moon (82 shared papers)Yeo‐Min Yun (84 shared papers)Hanah Kim (80 shared papers)Salvatore Di Somma (17 shared papers)Seungho Lee (14 shared papers)Hyun Suk Yang (14 shared papers)Jun‐Dong Chang (4 shared papers)Sang‐Soo Lee (4 shared papers)
- Journals
- Annals of Laboratory Medicine (36 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (11 papers)Clinical Biochemistry (9 papers)PLoS ONE (4 papers)Journal of Clinical Laboratory Analysis (4 papers)
- Partner nations
- South KoreaItalyUnited States
In The Last Decade
Mina Hur
159 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 137
- Nephrology 238
- Critical Care and Intensive Care Medicine 155
- Hematology 219
- Epidemiology 590
- Clinical Biochemistry 114
Countries citing papers authored by Mina Hur
This map shows the geographic impact of Mina Hur'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 Mina Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Hur more than expected).
Fields of papers citing papers by Mina Hur
This network shows the impact of papers produced by Mina Hur. 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 Mina Hur. The network helps show where Mina Hur may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Hur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2017 | 103 | |
| 3 | 2018 | 79 | |
| 4 | 2012 | 68 | |
| 5 | 2014 | 64 | |
| 6 | 2005 | 57 | |
| 7 | 2008 | 54 | |
| 8 | 2017 | 53 | |
| 9 | 2012 | 52 | |
| 10 | 2015 | 50 | |
| 11 | 2014 | 47 | |
| 12 | 2017 | 46 | |
| 13 | 2012 | 44 | |
| 14 | 2013 | 42 | |
| 15 | 2016 | 39 | |
| 16 | 2015 | 36 | |
| 17 | 2019 | 31 | |
| 18 | 2012 | 31 | |
| 19 | 2015 | 30 | |
| 20 | 2019 | 29 |
About Mina Hur
Mina Hur is a scholar working on Epidemiology, Physiology, Hematology, Surgery and Infectious Diseases, having authored 171 papers that have together received 2.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (24 papers), Sepsis Diagnosis and Treatment (18 papers), Blood groups and transfusion (11 papers), Acute Kidney Injury Research (10 papers), Acute Myeloid Leukemia Research (8 papers), Blood transfusion and management (8 papers), Hemoglobinopathies and Related Disorders (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). The work is most often cited by research in Nephrology (238 citations), Critical Care and Intensive Care Medicine (155 citations), Hematology (219 citations), Epidemiology (590 citations) and Clinical Biochemistry (114 citations). Mina Hur has collaborated with scholars based in South Korea, Italy and United States. Frequent co-authors include Hee‐Won Moon, Yeo‐Min Yun, Hanah Kim, Salvatore Di Somma, Seungho Lee, Hyun Suk Yang, Jun‐Dong Chang, Sang‐Soo Lee, Jin Q Kim and Hee‐Jung Chung. Their work appears in journals such as Annals of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Biochemistry, PLoS ONE and Journal of Clinical Laboratory Analysis.
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.