Jung‐Mi Hah
- Molecular Biology
- Organic Chemistry top 10%
- Physiology
- Computational Theory and Mathematics top 5%
- Pharmacology
- Co-authors
- Jaeyoon ChungJung-Hun LeeWaqar AmanArt E. ChoSeungyeop BaekSe‐Jin LeeYoung Soo KimJiyoon Kim
- Topics
- Computational Drug Discovery Methods (18 papers)Melanoma and MAPK Pathways (17 papers)Synthesis and biological activity (7 papers)
- Partner nations
- South KoreaPakistanChina
In The Last Decade
Jung‐Mi Hah
37 papers receiving 614 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 316
- Organic Chemistry 203
- Physiology 150
- Computational Theory and Mathematics 129
- Pharmacology 89
Countries citing papers authored by Jung‐Mi Hah
This map shows the geographic impact of Jung‐Mi Hah'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 Jung‐Mi Hah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Mi Hah more than expected).
Fields of papers citing papers by Jung‐Mi Hah
This network shows the impact of papers produced by Jung‐Mi Hah. 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 Jung‐Mi Hah. The network helps show where Jung‐Mi Hah may publish in the future.
Co-authorship network of co-authors of Jung‐Mi Hah
This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Mi Hah. A scholar is included among the top collaborators of Jung‐Mi Hah 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 Jung‐Mi Hah. Jung‐Mi Hah 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 | 6 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 48 | |
| 12 | 134 | |
| 13 | 4 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 26 | |
| 20 | 15 |
About Jung‐Mi Hah
Jung‐Mi Hah is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Biological Psychiatry, having authored 38 papers that have together received 625 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Melanoma and MAPK Pathways (17 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Organic Chemistry (203 citations) and Physiology (150 citations). Jung‐Mi Hah has collaborated with scholars based in South Korea, Pakistan and China. Frequent co-authors include Jaeyoon Chung, Jung-Hun Lee, Waqar Aman, Art E. Cho, Seungyeop Baek, Se‐Jin Lee, Young Soo Kim, Jiyoon Kim, Minjung Kim and Jisu Shin. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Molecules.
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.