Theint Aung

1.3k total citations · 1 hit paper
7 papers, 968 citations indexed

About

Theint Aung is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Theint Aung has authored 7 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Theint Aung's work include Nanoplatforms for cancer theranostics (2 papers), vaccines and immunoinformatics approaches (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Theint Aung is often cited by papers focused on Nanoplatforms for cancer theranostics (2 papers), vaccines and immunoinformatics approaches (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Theint Aung collaborates with scholars based in United States, Switzerland and France. Theint Aung's co-authors include Kuangda Lu, Wenbin Lin, Nining Guo, Ralph R. Weichselbaum, Kaiyuan Ni, Patrick J. La Rivière, Christina Chan, Guangxu Lan, Charles A. Liberko and Rebecca J. Nusbaum and has published in prestigious journals such as Advanced Materials, Nature Communications and Trends in Biochemical Sciences.

In The Last Decade

Theint Aung

6 papers receiving 956 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanoscale Metal–Organic Frameworks for Therapeutic, Imaging, and Sensing Applications

2018 615 citations Kuangda Lu, Theint Aung et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Theint Aung United States	5	586	448	438	187	157	7	968
Guo‐Xia Jin China	17	342 0.6×	419 0.9×	470 1.1×	204 1.1×	154 1.0×	43	1.2k
Geoffrey T. Nash United States	9	685 1.2×	625 1.4×	352 0.8×	80 0.4×	123 0.8×	14	1.1k
Zengzhen Chen China	17	570 1.0×	306 0.7×	155 0.4×	204 1.1×	147 0.9×	28	779
Salame Haddad United Kingdom	6	412 0.7×	378 0.8×	615 1.4×	243 1.3×	137 0.9×	6	901
Manja Kubeil Germany	17	533 0.9×	613 1.4×	213 0.5×	393 2.1×	330 2.1×	35	1.4k
Stefan Datz Germany	9	293 0.5×	343 0.8×	167 0.4×	309 1.7×	152 1.0×	13	755
Shahad K. Alsaiari Saudi Arabia	16	537 0.9×	502 1.1×	268 0.6×	373 2.0×	658 4.2×	22	1.5k
Fanghui Chen China	17	596 1.0×	666 1.5×	308 0.7×	215 1.1×	140 0.9×	30	1.0k
Hongshuai Wu China	24	936 1.6×	720 1.6×	192 0.4×	484 2.6×	320 2.0×	58	1.5k
Peijing An China	19	694 1.2×	623 1.4×	186 0.4×	287 1.5×	211 1.3×	27	1.1k

Countries citing papers authored by Theint Aung

Since Specialization

Citations

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

Fields of papers citing papers by Theint Aung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theint Aung

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

All Works

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7 of 7 papers shown

1.

Wallweber, Heidi Ackerly, Robert G. Alberstein, Zhonghua Lin, et al.. (2024). Rapid affinity optimization of an anti-TREM2 clinical lead antibody by cross-lineage immune repertoire mining. Nature Communications. 15(1). 8382–8382. 2 indexed citations

2.

Aung, Theint, et al.. (2022). Recent and future perspectives on engineering interferons and other cytokines as therapeutics. Trends in Biochemical Sciences. 48(3). 259–273. 16 indexed citations

3.

Aung, Theint. (2021). Myinkaba village Bagan: The Resilience of Traditional Knowledge and Culture | ပဂမငကပ (သ) ယဉကမ ဓလရရအသပည၏ ကကခနငစမ. 254–261.

4.

Ni, Kaiyuan, Guangxu Lan, Christina Chan, et al.. (2018). Nanoscale metal-organic frameworks enhance radiotherapy to potentiate checkpoint blockade immunotherapy. Nature Communications. 9(1). 2351–2351. 293 indexed citations

5.

Lu, Kuangda, Theint Aung, Nining Guo, Ralph R. Weichselbaum, & Wenbin Lin. (2018). Nanoscale Metal–Organic Frameworks for Therapeutic, Imaging, and Sensing Applications. Advanced Materials. 30(37). e1707634–e1707634. 615 indexed citations breakdown →

6.

Filippova, E.V., Bozena Zemaitaitis, Theint Aung, Alan J. Wolfe, & W.F. Anderson. (2018). Structural Basis for DNA Recognition by the Two-Component Response Regulator RcsB. mBio. 9(1). 15 indexed citations

7.

Aung, Theint & Charles A. Liberko. (2014). Bringing Photochemistry to the Masses: A Simple, Effective, and Inexpensive Photoreactor, Right Out of the Box. Journal of Chemical Education. 91(6). 939–942. 27 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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