Dong–Min Shin
- Molecular Biology top 5%
- Epidemiology top 5%
- Immunology top 2%
- Infectious Diseases top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Eun‐Kyeong JoChihiro SasakawaJin Kyung KimJae–Min YukChul‐Su YangHye‐Mi LeeJin‐Man KimZee‐Won Lee
- Topics
- Immune Response and Inflammation (8 papers)Autophagy in Disease and Therapy (5 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers)
- Partner nations
- South KoreaJapanIndia
In The Last Decade
Dong–Min Shin
23 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.4k
- Epidemiology 957
- Immunology 948
- Infectious Diseases 560
- Pathology and Forensic Medicine 291
Countries citing papers authored by Dong–Min Shin
This map shows the geographic impact of Dong–Min 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 Dong–Min Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong–Min Shin more than expected).
Fields of papers citing papers by Dong–Min Shin
This network shows the impact of papers produced by Dong–Min 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 Dong–Min Shin. The network helps show where Dong–Min Shin may publish in the future.
Co-authorship network of co-authors of Dong–Min Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Dong–Min Shin. A scholar is included among the top collaborators of Dong–Min Shin 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 Dong–Min Shin. Dong–Min Shin 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 | Molecular mechanisms regulating NLRP3 inflammasome activationbreakdown → | 1069 |
| 3 | 122 | |
| 4 | 108 | |
| 5 | 101 | |
| 6 | 63 | |
| 7 | 51 | |
| 8 | 66 | |
| 9 | 111 | |
| 10 | 78 | |
| 11 | 57 | |
| 12 | 52 | |
| 13 | 17 | |
| 14 | Vitamin D3 Induces Autophagy in Human Monocytes/Macrophages via Cathelicidinbreakdown → | 632 |
| 15 | 38 | |
| 16 | 34 | |
| 17 | 23 | |
| 18 | 126 | |
| 19 | 64 | |
| 20 | Determination of the DNA Sequence of the 18S rRNA Gene of the Rehmannia glutinosa and Its Phylogenetic Analysis | 2 |
About Dong–Min Shin
Dong–Min Shin is a scholar working on Immunology, Physiology and Microbiology, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Autophagy in Disease and Therapy (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Immunology (948 citations), Biological Psychiatry (97 citations) and Physiology (158 citations). Dong–Min Shin has collaborated with scholars based in South Korea, Japan and India. Frequent co-authors include Eun‐Kyeong Jo, Chihiro Sasakawa, Jin Kyung Kim, Jae–Min Yuk, Chul‐Su Yang, Hye‐Mi Lee, Jin‐Man Kim, Zee‐Won Lee, Sang-Hee Lee and Kwang–Kyu Kim. Their work appears in journals such as Nature Communications, The Journal of Immunology and FEBS Letters.
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.