May Zaw Thin

44 total papers · 2.2k total citations
21 papers, 788 citations indexed

About

May Zaw Thin is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, May Zaw Thin has authored 21 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Oncology. Recurrent topics in May Zaw Thin's work include 3D Printing in Biomedical Research (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Cancer Cells and Metastasis (3 papers). May Zaw Thin is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Cancer Cells and Metastasis (3 papers). May Zaw Thin collaborates with scholars based in United Kingdom, United States and Netherlands. May Zaw Thin's co-authors include Axel Behrens, Tammy L. Kalber, Jorge Almagro, Emma Nye, Daniel J. Stuckey, Hendrik A. Messal, Mark F. Lythgoe, P. Stephen Patrick, Jacco van Rheenen and Julian Downward and has published in prestigious journals such as Nature, Nature Communications and Nature reviews. Cancer.

In The Last Decade

May Zaw Thin

20 papers receiving 781 citations

Author Peers

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

Author Last Decade Papers Cites
May Zaw Thin 341 199 179 124 119 21 788
Lisa T. MacKenzie 253 0.7× 216 1.1× 226 1.3× 88 0.7× 70 0.6× 13 804
Laura S. Sasportas 284 0.8× 272 1.4× 185 1.0× 93 0.8× 103 0.9× 14 761
Eleonora Dondossola 349 1.0× 161 0.8× 295 1.6× 111 0.9× 83 0.7× 34 875
Ti Tong 304 0.9× 132 0.7× 119 0.7× 68 0.5× 138 1.2× 33 710
Stephan Rogalla 260 0.8× 298 1.5× 108 0.6× 52 0.4× 81 0.7× 31 777
Qi Yue 268 0.8× 277 1.4× 87 0.5× 51 0.4× 125 1.1× 32 761
Thore Nederman 214 0.6× 230 1.2× 334 1.9× 75 0.6× 72 0.6× 21 691
Sara Pignatta 329 1.0× 209 1.1× 310 1.7× 98 0.8× 56 0.5× 26 807
Andrew N. Fontanella 329 1.0× 362 1.8× 92 0.5× 155 1.3× 91 0.8× 29 871
Valérie Rouffiac 299 0.9× 193 1.0× 193 1.1× 181 1.5× 38 0.3× 31 691

Countries citing papers authored by May Zaw Thin

Since Specialization
Citations

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

Fields of papers citing papers by May Zaw Thin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Zaw Thin. 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 May Zaw Thin. The network helps show where May Zaw Thin may publish in the future.

Co-authorship network of co-authors of May Zaw Thin

This figure shows the co-authorship network connecting the top 25 collaborators of May Zaw Thin. A scholar is included among the top collaborators of May Zaw Thin 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 May Zaw Thin. May Zaw Thin 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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