In‐hwan Baek
- Materials Chemistry top 10%
- Pharmaceutical Science top 0.5%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Min‐Soo KimSung‐Joo HwangEun-Sol HaTaek‐Mo ChungKwang‐il KwonEun‐Sol HaJung Joon PyeonJeong Hwan Han
- Topics
- Drug Solubulity and Delivery Systems (21 papers)Analytical Methods in Pharmaceuticals (13 papers)Pharmacogenetics and Drug Metabolism (10 papers)
- Partner nations
- South KoreaAustraliaUnited States
In The Last Decade
In‐hwan Baek
104 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Materials Chemistry 583
- Pharmaceutical Science 425
- Electrical and Electronic Engineering 415
- Molecular Biology 177
- Biomedical Engineering 170
Countries citing papers authored by In‐hwan Baek
This map shows the geographic impact of In‐hwan Baek'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 In‐hwan Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐hwan Baek more than expected).
Fields of papers citing papers by In‐hwan Baek
This network shows the impact of papers produced by In‐hwan Baek. 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 In‐hwan Baek. The network helps show where In‐hwan Baek may publish in the future.
Co-authorship network of co-authors of In‐hwan Baek
This figure shows the co-authorship network connecting the top 25 collaborators of In‐hwan Baek. A scholar is included among the top collaborators of In‐hwan Baek 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 In‐hwan Baek. In‐hwan Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 37 | |
| 12 | 2 | |
| 13 | 29 | |
| 14 | Comparative Study of First-in-Human Dose Estimation Approaches using Pharmacometrics | 1 |
| 15 | 15 | |
| 16 | 5 | |
| 17 | Analysis and Improvement of the Experiments Determining Solid Solubility in High School Chemistry II | 2 |
| 18 | Bioequivalence Approaches for Highly Variable Drugs: Issue and Solution | 1 |
| 19 | The Role of PK/PD Modeling and Simulation in Model-based New Drug Development | 1 |
| 20 | Biomarkers and Efficacy Screening Method for the Development of Anti-atopic Dermatitis Agents | 2 |
About In‐hwan Baek
In‐hwan Baek is a scholar working on Pharmaceutical Science, Pharmacology and Filtration and Separation, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (21 papers), Analytical Methods in Pharmaceuticals (13 papers) and Pharmacogenetics and Drug Metabolism (10 papers). The work is most often cited by research in Pharmaceutical Science (425 citations), Filtration and Separation (40 citations) and Pharmacology (127 citations). In‐hwan Baek has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Min‐Soo Kim, Sung‐Joo Hwang, Eun-Sol Ha, Taek‐Mo Chung, Kwang‐il Kwon, Eun‐Sol Ha, Jung Joon Pyeon, Jeong Hwan Han, Seong Keun Kim and Cheol Seong Hwang. Their work appears in journals such as Chemistry of Materials, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.
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.