Michael Sun

610 total citations
9 papers, 300 citations indexed

About

Michael Sun is a scholar working on Hematology, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Michael Sun has authored 9 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Molecular Biology and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Michael Sun's work include Platelet Disorders and Treatments (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Blood properties and coagulation (2 papers). Michael Sun is often cited by papers focused on Platelet Disorders and Treatments (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Blood properties and coagulation (2 papers). Michael Sun collaborates with scholars based in United States, Belgium and Canada. Michael Sun's co-authors include Anirban Sen Gupta, DaShawn A. Hickman, Christa L. Pawlowski, Wei Li, Gurbani Kaur, Ujjal Didar Singh Sekhon, Stephanie Huang, Mitchell Dyer, Vikram S. Kashyap and Kenji Miyazawa and has published in prestigious journals such as Nature Communications, Biomaterials and Scientific Reports.

In The Last Decade

Michael Sun

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Sun United States 9 103 90 69 63 45 9 300
Courtney E. Morgan United States 7 45 0.4× 91 1.0× 153 2.2× 40 0.6× 27 0.6× 21 323
Zhiliang Zhang China 11 54 0.5× 146 1.6× 69 1.0× 43 0.7× 9 0.2× 36 487
Elisa A. Ferrante United States 8 21 0.2× 69 0.8× 23 0.3× 131 2.1× 45 1.0× 21 335
Haige Zhao China 10 29 0.3× 164 1.8× 18 0.3× 58 0.9× 6 0.1× 35 370
Fernando Callera Brazil 10 81 0.8× 58 0.6× 25 0.4× 42 0.7× 5 0.1× 21 302
Gyeong Won Lee South Korea 10 111 1.1× 106 1.2× 15 0.2× 53 0.8× 3 0.1× 28 358
Fengyi Mao United States 10 49 0.5× 154 1.7× 59 0.9× 36 0.6× 2 0.0× 17 399
F d'Oleire United States 10 13 0.1× 51 0.6× 27 0.4× 169 2.7× 39 0.9× 12 360
Jeongyun Seo United States 9 13 0.1× 97 1.1× 25 0.4× 315 5.0× 10 0.2× 9 511
Yuka Matsuura Japan 12 10 0.1× 143 1.6× 64 0.9× 92 1.5× 15 0.3× 32 484

Countries citing papers authored by Michael Sun

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sun

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

All Works

9 of 9 papers shown
1.
Lan, Taijin, Hyungsin ­Kim, Wenping Wang, et al.. (2024). Glucose-6-phosphate dehydrogenase maintains redox homeostasis and biosynthesis in LKB1-deficient KRAS-driven lung cancer. Nature Communications. 15(1). 17 indexed citations
2.
Sun, Michael, et al.. (2023). Direct delivery of plasmin using clot-anchoring thrombin-responsive nanoparticles for targeted fibrinolytic therapy. Journal of Thrombosis and Haemostasis. 21(4). 983–994. 8 indexed citations
3.
Cummings, Derek T., Galina Denisova, Michael Sun, et al.. (2021). Development of a B-cell maturation antigen-specific T-cell antigen coupler receptor for multiple myeloma. Cytotherapy. 23(9). 820–832. 9 indexed citations
4.
Sun, Michael, Kenji Miyazawa, Emre Firlar, et al.. (2020). Combination targeting of ‘platelets + fibrin’ enhances clot anchorage efficiency of nanoparticles for vascular drug delivery. Nanoscale. 12(41). 21255–21270. 20 indexed citations
5.
Hickman, DaShawn A., Yifeng Ma, Kenji Miyazawa, et al.. (2019). Trauma‐targeted delivery of tranexamic acid improves hemostasis and survival in rat liver hemorrhage model. Journal of Thrombosis and Haemostasis. 17(10). 1632–1644. 23 indexed citations
6.
Sun, Michael & Anirban Sen Gupta. (2019). Vascular Nanomedicine: Current Status, Opportunities, and Challenges. Seminars in Thrombosis and Hemostasis. 46(5). 524–544. 17 indexed citations
7.
Hickman, DaShawn A., Christa L. Pawlowski, Ann Kim, et al.. (2018). Intravenous synthetic platelet (SynthoPlate) nanoconstructs reduce bleeding and improve ‘golden hour’ survival in a porcine model of traumatic arterial hemorrhage. Scientific Reports. 8(1). 3118–3118. 60 indexed citations
8.
Pawlowski, Christa L., Wei Li, Michael Sun, et al.. (2017). Platelet microparticle-inspired clot-responsive nanomedicine for targeted fibrinolysis. Biomaterials. 128. 94–108. 130 indexed citations
9.
Sun, Michael, Ngoc T. Ha, Duc-Hung Pham, et al.. (2017). Cbx3/HP1γ deficiency confers enhanced tumor-killing capacity on CD8+ T cells. Scientific Reports. 7(1). 42888–42888. 16 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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