Aung M. Tun

101 total papers · 746 total citations
44 papers, 468 citations indexed

About

Aung M. Tun is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aung M. Tun has authored 44 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 19 papers in Pathology and Forensic Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aung M. Tun's work include Lymphoma Diagnosis and Treatment (18 papers), CAR-T cell therapy research (15 papers) and Viral-associated cancers and disorders (7 papers). Aung M. Tun is often cited by papers focused on Lymphoma Diagnosis and Treatment (18 papers), CAR-T cell therapy research (15 papers) and Viral-associated cancers and disorders (7 papers). Aung M. Tun collaborates with scholars based in United States, United Kingdom and Canada. Aung M. Tun's co-authors include Kyaw Zin Thein, Thein Hlaing Oo, Zin Myint, Hayder Saeed, Ijaz A. Khan, Stephen M. Ansell, Abrar Hussain, Balendu C. Vasavada, Terrence J. Sacchi and Irfan Khan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Aung M. Tun

39 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Aung M. Tun	130	104	76	68	63	44	468
Meir Djaldetti	73 0.6×	139 1.3×	55 0.7×	39 0.6×	104 1.7×	40	552
Ti Shen	69 0.5×	81 0.8×	24 0.3×	120 1.8×	120 1.9×	56	532
Ayla Akbal	85 0.7×	27 0.3×	61 0.8×	49 0.7×	38 0.6×	42	462
J.L. Balibrea	125 1.0×	113 1.1×	17 0.2×	43 0.6×	24 0.4×	23	542
Milan Dastych	63 0.5×	68 0.7×	91 1.2×	21 0.3×	12 0.2×	52	440
Jeremy S. C. Clark	117 0.9×	52 0.5×	110 1.4×	16 0.2×	41 0.7×	42	517
R. Gross	44 0.3×	41 0.4×	34 0.4×	31 0.5×	111 1.8×	68	489
Nissen Ni	135 1.0×	20 0.2×	50 0.7×	99 1.5×	23 0.4×	39	440
Necip Pirinçci	85 0.7×	90 0.9×	20 0.3×	19 0.3×	20 0.3×	52	526
Yuichi Honma	70 0.5×	70 0.7×	15 0.2×	46 0.7×	39 0.6×	59	505

Countries citing papers authored by Aung M. Tun

Since Specialization

Citations

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

Fields of papers citing papers by Aung M. Tun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aung M. Tun

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