May Tun Saung

24 total papers · 1.2k total citations
15 papers, 918 citations indexed

About

May Tun Saung is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, May Tun Saung has authored 15 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in May Tun Saung's work include Cancer Immunotherapy and Biomarkers (9 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Immunotherapy and Immune Responses (3 papers). May Tun Saung is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Immunotherapy and Immune Responses (3 papers). May Tun Saung collaborates with scholars based in United States, Japan and India. May Tun Saung's co-authors include Lei Zheng, Adrian Murphy, Arsen Osipov, Gregory P. Howard, Xiyu Ke, Hai‐Quan Mao, Zahi A. Fayad, Stephen Muth, Alex B. Blair and Bei Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Drug Delivery Reviews and Clinical Cancer Research.

In The Last Decade

May Tun Saung

15 papers receiving 910 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 Tun Saung 388 336 267 262 111 15 918
James W. Opzoomer 363 0.9× 267 0.8× 323 1.2× 169 0.6× 66 0.6× 10 806
Myrofora Panagi 303 0.8× 219 0.7× 291 1.1× 293 1.1× 100 0.9× 24 857
Ashvin R. Jaiswal 383 1.0× 478 1.4× 214 0.8× 160 0.6× 106 1.0× 14 903
Crismita Dmello 295 0.8× 281 0.8× 352 1.3× 237 0.9× 86 0.8× 32 936
Ako Ishihara 384 1.0× 407 1.2× 293 1.1× 229 0.9× 57 0.5× 13 1.0k
Chayanon Ngambenjawong 245 0.6× 466 1.4× 491 1.8× 240 0.9× 103 0.9× 15 988
Matthew Lin 373 1.0× 504 1.5× 336 1.3× 281 1.1× 61 0.5× 10 865
Lenka Kašíková 556 1.4× 704 2.1× 332 1.2× 266 1.0× 188 1.7× 13 1.2k
Yuan‐Tong Liu 375 1.0× 359 1.1× 312 1.2× 186 0.7× 138 1.2× 18 860
Christina Hartl 436 1.1× 459 1.4× 370 1.4× 342 1.3× 76 0.7× 11 1.0k

Countries citing papers authored by May Tun Saung

Since Specialization
Citations

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

Fields of papers citing papers by May Tun Saung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May Tun Saung

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