Mike Jin

3.0k total citations
8 papers, 84 citations indexed

About

Mike Jin is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine and Oncology. According to data from OpenAlex, Mike Jin has authored 8 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Critical Care and Intensive Care Medicine and 2 papers in Oncology. Recurrent topics in Mike Jin's work include Ultrasound in Clinical Applications (2 papers), Genomics and Rare Diseases (1 paper) and RNA modifications and cancer (1 paper). Mike Jin is often cited by papers focused on Ultrasound in Clinical Applications (2 papers), Genomics and Rare Diseases (1 paper) and RNA modifications and cancer (1 paper). Mike Jin collaborates with scholars based in United States, Serbia and South Korea. Mike Jin's co-authors include Jongmin Kim, Nicolas Garreau de Loubresse, Youngeun Kim, Peng Yin, Yao Fu, Patrick D. McGillivray, Jeremy Liu, Suganthi Balasubramanian, Mark Gerstein and Konrad J. Karczewski and has published in prestigious journals such as Nature Communications, Journal of Medical Internet Research and The Journal of the American Dental Association.

In The Last Decade

Mike Jin

7 papers receiving 82 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mike Jin United States 4 57 21 11 9 8 8 84
Carlos Ruiz-Arenas Spain 6 42 0.7× 31 1.5× 4 0.4× 7 0.9× 8 66
Chelsea K. Raulerson United States 3 49 0.9× 28 1.3× 2 0.2× 11 1.4× 4 78
M. Ye China 6 27 0.5× 10 0.5× 6 0.5× 11 1.4× 8 80
Leeyean Wong United States 4 54 0.9× 7 0.3× 5 0.5× 2 0.3× 4 81
Catherine Tudor United Kingdom 5 33 0.6× 9 0.4× 7 0.6× 1 0.1× 8 52
Cecilia E Kim United States 2 25 0.4× 32 1.5× 3 0.3× 8 1.0× 4 53
Peter Durda United States 4 20 0.4× 9 0.4× 3 0.3× 1 0.1× 2 0.3× 7 44
Carina Lorenz Germany 3 21 0.4× 6 0.3× 5 0.5× 7 0.9× 5 35
Graeme Elliott United Kingdom 3 29 0.5× 11 0.5× 2 0.2× 7 0.9× 4 56

Countries citing papers authored by Mike Jin

Since Specialization
Citations

This map shows the geographic impact of Mike Jin'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 Mike Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Jin more than expected).

Fields of papers citing papers by Mike Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Jin. 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 Mike Jin. The network helps show where Mike Jin may publish in the future.

Co-authorship network of co-authors of Mike Jin

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

All Works

8 of 8 papers shown
1.
Duggan, Nicole M., et al.. (2024). Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Data Set Labeling: Prospective Analysis. Journal of Medical Internet Research. 26. e51397–e51397. 2 indexed citations
2.
Jain, Anant V., et al.. (2024). Artificial Intelligence to Determine Fetal Sex. American Journal of Perinatology. 41(13). 1836–1840. 2 indexed citations
3.
Goldsmith, Andrew, Mike Jin, Nicole M. Duggan, et al.. (2023). Comparison of Pulmonary Congestion Severity Using Artificial Intelligence-Assisted Scoring Versus Clinical Experts: A Secondary Analysis of BLUSHED-AHF. European Journal of Heart Failure. 25(7). 1166–1169. 10 indexed citations
5.
Jin, Mike, et al.. (2022). Accuracy of parent-reported health history in a dental setting. The Journal of the American Dental Association. 153(11). 1053–1059. 3 indexed citations
6.
Jin, Mike, Nicolas Garreau de Loubresse, Youngeun Kim, Jongmin Kim, & Peng Yin. (2019). Programmable CRISPR-Cas Repression, Activation, and Computation with Sequence-Independent Targets and Triggers. ACS Synthetic Biology. 8(7). 1583–1589. 36 indexed citations
7.
Balasubramanian, Suganthi, Yao Fu, Patrick D. McGillivray, et al.. (2017). Using ALoFT to determine the impact of putative loss-of-function variants in protein-coding genes. Nature Communications. 8(1). 382–382. 28 indexed citations
8.
Yan, Yan, Qing Tan, Yian Wang, et al.. (2007). Enhanced Lung Tumor Development in Tobacco Smoke-Exposedp53Transgenic andKras2Heterozygous Deficient Mice. Inhalation Toxicology. 19(sup1). 183–187. 1 indexed citations

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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