Dong‐Mi Shin

3.5k total citations · 2 hit papers
55 papers, 2.6k citations indexed

About

Dong‐Mi Shin is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Dong‐Mi Shin has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Immunology and 9 papers in Physiology. Recurrent topics in Dong‐Mi Shin's work include Gut microbiota and health (12 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (9 papers). Dong‐Mi Shin is often cited by papers focused on Gut microbiota and health (12 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (9 papers). Dong‐Mi Shin collaborates with scholars based in South Korea, United States and Puerto Rico. Dong‐Mi Shin's co-authors include Herbert C. Morse, Keiko Ozato, Tsung-Hsien Chang, Ji‐Hee Shin, Hyojee Joung, Seong-Ah Kim, Chong-Su Kim, Younghee Park, Chen‐Feng Qi and Hongsheng Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Dong‐Mi Shin

55 papers receiving 2.6k citations

Hit Papers

TRIM family proteins and their emerging roles in innate i... 2008 2026 2014 2020 2008 2019 250 500 750

Peers

Dong‐Mi Shin
Comparison fields: 5 of 112
  • Molecular Biology 1.3k
  • Immunology 1.0k
  • Oncology 314
  • Epidemiology 314
  • Physiology 299
Sandra Sacre United Kingdom
Patricia A. Pioli United States
Xin Geng China
Benjamin Faustin France
Marian Szczepanik Poland
Hideaki Fujita Japan
Changsheng Xing United States
Cheng–Yuan Kao Taiwan
Antonio Filippini Italy
Agatha Schwarz Germany
Sandra Sacre United Kingdom View profile →
Citations per field, relative to Dong‐Mi Shin
Dong‐Mi Shin · 1×
Citations per year, relative to Dong‐Mi Shin
Dong‐Mi Shin · 1×

Countries citing papers authored by Dong‐Mi Shin

Since Specialization
Citations

This map shows the geographic impact of Dong‐Mi 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‐Mi 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‐Mi Shin more than expected).

Fields of papers citing papers by Dong‐Mi Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Mi 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‐Mi Shin. The network helps show where Dong‐Mi Shin may publish in the future.

Co-authorship network of co-authors of Dong‐Mi Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Mi Shin. A scholar is included among the top collaborators of Dong‐Mi 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‐Mi Shin. Dong‐Mi Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 62
3 8
4 11
5
Serum level of sex steroid hormone is associated with diversity and profiles of human gut microbiome breakdown →
239
6 55
7 20
8 19
9 29
10 11
11 74
12 65
13 7
14 58
15 20
16 4
17 2
18 33
19 24
20 39

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.

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