Jin‐Tae Suh
- Co-authors
- Wooin LeeSun Young ChoHee Joo LeeGa‐Young LimMin Jin KimJohn YangMyeong Hee KimHwi‐Joong Yoon
- Topics
- Acute Myeloid Leukemia Research (6 papers)Multiple Myeloma Research and Treatments (4 papers)Bacterial Identification and Susceptibility Testing (4 papers)
- Journals
- International Journal of Antimicrobial AgentsJournal of Medical MicrobiologyAnnals of Hematology
- Partner nations
- South KoreaFrance
In The Last Decade
Jin‐Tae Suh
30 papers receiving 385 citations
Peers
Comparison fields: 5 of 80
- Epidemiology 114
- Molecular Biology 89
- Oncology 86
- Hematology 74
- Surgery 73
Countries citing papers authored by Jin‐Tae Suh
This map shows the geographic impact of Jin‐Tae Suh'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 Jin‐Tae Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Tae Suh more than expected).
Fields of papers citing papers by Jin‐Tae Suh
This network shows the impact of papers produced by Jin‐Tae Suh. 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 Jin‐Tae Suh. The network helps show where Jin‐Tae Suh may publish in the future.
Co-authorship network of co-authors of Jin‐Tae Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Tae Suh. A scholar is included among the top collaborators of Jin‐Tae Suh 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 Jin‐Tae Suh. Jin‐Tae Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 77 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 58 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | Adjuvant laboratory marker of Kawasaki disease; NT-pro-BNP or hs-CRP? | 26 |
| 10 | 21 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | Evaluation of commercial selective agars in screening for methicillin-resistant Staphylococcus aureus. | 15 |
| 15 | The Frequency and Distribution of Unexpected Antibodies in Transfusion Candidates with the Use of the Ortho BioVue System: Recent Four Year Experience | 3 |
| 16 | 7 | |
| 17 | Evaluation of BNP Assays with Access 2 and AxSYM BNP in Comparison with Point-of-Care Triage BNP assay | 0 |
| 18 | Clinical Usefulness of Ischemia Modified Albumin in Acute Coronary Syndrome | 5 |
| 19 | 21 | |
| 20 | Clinical Evaluation of 10 Cases of Nontuberculous Mycobacteria Isolated from Sputum | 2 |
About Jin‐Tae Suh
Jin‐Tae Suh is a scholar working on Hematology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 31 papers that have together received 394 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Molecular Medicine (34 citations), Hematology (74 citations) and Internal Medicine (18 citations). Jin‐Tae Suh has collaborated with scholars based in South Korea and France. Frequent co-authors include Wooin Lee, Sun Young Cho, Hee Joo Lee, Ga‐Young Lim, Min Jin Kim, John Yang, Myeong Hee Kim, Hwi‐Joong Yoon, Hee-Joo Lee and So Young Kang. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Medical Microbiology and Annals of Hematology.
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.