Wan‐Shik Shin
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 8
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 7
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 5
- Antifungal resistance and susceptibility 4
- Hematology top 10%
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- Cytomegalovirus and herpesvirus research 10
- Herpesvirus Infections and Treatments 7
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- Neutropenia and Cancer Infections 9
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- Antibiotics Pharmacokinetics and Efficacy 5
- Co-authors
- Dong‐Gun LeeSu‐Mi ChoiJin‐Hong YooJung‐Hyun ChoiSun Hee ParkChun-Choo KimWoo-Sung MinChulmin Park
- Partner nations
- South KoreaUnited StatesSouth Africa
In The Last Decade
Wan‐Shik Shin
37 papers receiving 561 citations
Peers
Comparison fields: 5 of 70
- Clinical Biochemistry 129
- Molecular Medicine 76
- Infectious Diseases 200
- Hematology 100
- Applied Microbiology and Biotechnology 17
Countries citing papers authored by Wan‐Shik Shin
This map shows the geographic impact of Wan‐Shik Shin'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 Wan‐Shik Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Shik Shin more than expected).
Fields of papers citing papers by Wan‐Shik Shin
This network shows the impact of papers produced by Wan‐Shik Shin. 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 Wan‐Shik Shin. The network helps show where Wan‐Shik Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wan‐Shik Shin, 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 | 2009 | 67 | |
| 2 | Three cases of ciprofloxacin treatment failure in imported typhoid fever | 2009 | 2 |
| 3 | 2009 | 4 | |
| 4 | 2008 | 15 | |
| 5 | 2007 | 48 | |
| 6 | 2007 | 10 | |
| 7 | 2006 | 22 | |
| 8 | 2006 | 22 | |
| 9 | 2006 | 9 | |
| 10 | 2005 | 29 | |
| 11 | Efficacies of Teicoplanin in Patients with Febrile Neutropenia | 2004 | 2 |
| 12 | 2004 | 12 | |
| 13 | 2004 | 50 | |
| 14 | 2004 | 4 | |
| 15 | A Study of Epstein-Barr Virus, and Human Leukocyte Antigen Typing in Children with Acute Infectious Mononucleosis | 2003 | 1 |
| 16 | Detection of Lymphotropic Herpesviruses by Multiplex Polymerase Chain Reaction | 2001 | 1 |
| 17 | Efficient Generation of BLCL Expressing Foreign Antigen as Antigen-presenting Cells with Recombinant Retroviruses | 2001 | 9 |
| 18 | 2001 | 21 | |
| 19 | 1999 | 1 | |
| 20 | 1997 | 28 |
About Wan‐Shik Shin
Wan‐Shik Shin is a scholar working on Molecular Medicine, Clinical Biochemistry and Epidemiology, having authored 37 papers that have together received 583 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), Neutropenia and Cancer Infections (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Antibiotic Resistance in Bacteria (7 papers), Herpesvirus Infections and Treatments (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Clinical Biochemistry (129 citations), Molecular Medicine (76 citations) and Infectious Diseases (200 citations). Wan‐Shik Shin has collaborated with scholars based in South Korea, United States and South Africa. Frequent co-authors include Dong‐Gun Lee, Su‐Mi Choi, Jin‐Hong Yoo, Jung‐Hyun Choi, Sun Hee Park, Chun-Choo Kim, Woo-Sung Min, Chulmin Park, Jung‐Hyun Choi and Jong‐Wook Lee.
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.