Min-Jean Yin

119 total papers · 3.6k total citations
21 papers, 2.5k citations indexed

About

Min-Jean Yin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Min-Jean Yin has authored 21 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Min-Jean Yin's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Heat shock proteins research (6 papers) and NF-κB Signaling Pathways (4 papers). Min-Jean Yin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Heat shock proteins research (6 papers) and NF-κB Signaling Pathways (4 papers). Min-Jean Yin collaborates with scholars based in United States and Canada. Min-Jean Yin's co-authors include Richard B. Gaynor, Yumi Yamamoto, Keng-Mean Lin, Françoise Bex, Arsène Burny, Ladan Fazli, Christian Thomas, François Lamoureux, Amina Zoubeidi and Martin Gleave and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Min-Jean Yin

21 papers receiving 2.4k citations

Hit Papers

The anti-inflammatory age... 1998 2026 2007 2016 1998 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min-Jean Yin 1.2k 768 593 530 460 21 2.5k
Antonio Rossi 1.7k 1.4× 601 0.8× 498 0.8× 481 0.9× 196 0.4× 33 2.5k
Razvan Lapadat 2.3k 2.0× 544 0.7× 684 1.2× 246 0.5× 623 1.4× 22 4.0k
Bharat B. Aggarwal 1.2k 1.0× 470 0.6× 617 1.0× 243 0.5× 303 0.7× 23 2.6k
Matthew Brook 1.7k 1.4× 636 0.8× 627 1.1× 323 0.6× 494 1.1× 20 2.6k
Lisa M. Leesnitzer 1.7k 1.4× 399 0.5× 321 0.5× 394 0.7× 247 0.5× 30 2.4k
Venkateshwar G. Keshamouni 2.0k 1.7× 698 0.9× 624 1.1× 209 0.4× 799 1.7× 46 3.5k
Arndt Schottelius 1.3k 1.1× 623 0.8× 1.0k 1.7× 177 0.3× 692 1.5× 27 3.0k
Marie Cargnello 2.4k 2.1× 457 0.6× 475 0.8× 197 0.4× 424 0.9× 14 3.7k
Anjana Bhardwaj 1.4k 1.2× 440 0.6× 274 0.5× 187 0.4× 377 0.8× 37 2.6k
Jonathan L. E. Dean 2.2k 1.9× 844 1.1× 994 1.7× 371 0.7× 652 1.4× 41 3.5k

Countries citing papers authored by Min-Jean Yin

Since Specialization
Citations

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

Fields of papers citing papers by Min-Jean Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Jean Yin. 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 Min-Jean Yin. The network helps show where Min-Jean Yin may publish in the future.

Co-authorship network of co-authors of Min-Jean Yin

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

All Works

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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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