Mina Kim
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 5%
- Biomedical Engineering
- Plant Science top 10%
- Co-authors
- Cindi M. MorsheadYoun‐Soo ChaEun Hee KohHye‐Sun ParkYang‐Hoon KimHyun‐Ju UmMichung YoonJoong‐Yeol Park
- Topics
- Adipose Tissue and Metabolism (12 papers)Adipokines, Inflammation, and Metabolic Diseases (11 papers)Phytochemicals and Antioxidant Activities (11 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Mina Kim
133 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.1k
- Epidemiology 490
- Physiology 457
- Biomedical Engineering 207
- Plant Science 202
Countries citing papers authored by Mina Kim
This map shows the geographic impact of Mina Kim'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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Kim more than expected).
Fields of papers citing papers by Mina Kim
This network shows the impact of papers produced by Mina Kim. 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 Kim. The network helps show where Mina Kim may publish in the future.
Co-authorship network of co-authors of Mina Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Mina Kim. A scholar is included among the top collaborators of Mina Kim 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 Mina Kim. Mina Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Fecal microbiota transplantation improves anti-PD-1 inhibitor efficacy in unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitorbreakdown → | 81 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | A Case of Arcanobacterium haemolyticum Sepsis | 0 |
| 17 | Two Synthetic Ligands for Peroxisome Proliferator-Activated Receptor γ | 2 |
| 18 | Analysis of Parasite-Specific-Antibody Positive Patients for Clonorchis sinensis, Paragonimus westermani, Cysticercus and Sparganum using ELISA | 8 |
| 19 | The clinical relevance of four-day blood cultures with the BACTEC 9240 system | 3 |
| 20 | Self Esteem and Toothbrushing Behavior in College Students | 1 |
About Mina Kim
Mina Kim is a scholar working on Leadership and Management, Biochemistry and Food Science, having authored 150 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Phytochemicals and Antioxidant Activities (11 papers). The work is most often cited by research in Biochemistry (124 citations), Developmental Neuroscience (74 citations) and Physiology (457 citations). Mina Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Cindi M. Morshead, Youn‐Soo Cha, Eun Hee Koh, Hye‐Sun Park, Yang‐Hoon Kim, Hyun‐Ju Um, Michung Yoon, Joong‐Yeol Park, Jang H. Youn and Min‐Seon Kim. Their work appears in journals such as Journal of Neuroscience, Environmental Science & Technology and Diabetes.
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.