Jae-June Dong

610 total citations
27 papers, 422 citations indexed

About

Jae-June Dong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Jae-June Dong has authored 27 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Infectious Diseases. Recurrent topics in Jae-June Dong's work include Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and vaccines and immunoinformatics approaches (3 papers). Jae-June Dong is often cited by papers focused on Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and vaccines and immunoinformatics approaches (3 papers). Jae-June Dong collaborates with scholars based in South Korea, Saudi Arabia and India. Jae-June Dong's co-authors include Mohammad Hassan Baig, Mohd Imran Khan, Irfan Ahmad, Abd‐ElAziem Farouk, Young Goo Song, Tanuj Sharma, Zainul A. Khan, Imran Khan, Md. Imtaiyaz Hassan and Mustafa Aziz Hatiboğlu and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Jae-June Dong

26 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae-June Dong South Korea	13	183	106	95	57	48	27	422
Mohd Imran Khan India	13	153 0.8×	77 0.7×	62 0.7×	37 0.6×	41 0.9×	40	401
Li Liang China	11	185 1.0×	70 0.7×	88 0.9×	29 0.5×	38 0.8×	38	374
Anchala Kumari India	14	227 1.2×	97 0.9×	94 1.0×	30 0.5×	45 0.9×	31	441
Rajni Khan India	7	200 1.1×	159 1.5×	116 1.2×	34 0.6×	31 0.6×	12	574
Siddharth Sinha Macao	12	284 1.6×	52 0.5×	72 0.8×	34 0.6×	26 0.5×	30	516
Tanuj Sharma India	16	184 1.0×	77 0.7×	117 1.2×	63 1.1×	107 2.2×	36	586
Hanqing Xue China	3	242 1.3×	63 0.6×	202 2.1×	28 0.5×	32 0.7×	3	440
Yanyan Diao China	13	256 1.4×	65 0.6×	57 0.6×	35 0.6×	103 2.1×	33	436
Inés Maestro Spain	10	234 1.3×	200 1.9×	170 1.8×	137 2.4×	82 1.7×	11	613
Catherine Piveteau France	12	220 1.2×	136 1.3×	44 0.5×	82 1.4×	94 2.0×	25	496

Countries citing papers authored by Jae-June Dong

Since Specialization

Citations

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

Fields of papers citing papers by Jae-June Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-June Dong. 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 Jae-June Dong. The network helps show where Jae-June Dong may publish in the future.

Co-authorship network of co-authors of Jae-June Dong

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

All Works

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20 of 20 papers shown

Baig, Mohammad Hassan, Ayman Turk, Preeti Vishwakarma, et al.. (2025). Exploring the Therapeutic Potential of Cordyceps Mushroom on SARS-CoV-2 Using Virtual Screening against M^pro and In Vitro Validation of Cordycepin. Journal of Microbiology and Biotechnology. 35. e2411063–e2411063.

Sharma, Tanuj, Tanmoy Mondal, Sajid Khan, et al.. (2024). Identifying novel inhibitors targeting Exportin-1 for the potential treatment of COVID-19. Archives of Microbiology. 206(2). 69–69. 1 indexed citations

Vaid, Roshan, Rebeca Burgos‐Panadero, Rémy Robinot, et al.. (2023). Global loss of cellular m ⁶ A RNA methylation following infection with different SARS-CoV-2 variants. Genome Research. 33(3). 299–313. 18 indexed citations

Khan, Mohd Imran, Luciana Scotti, Fohad Mabood Husain, et al.. (2023). Discovery of novel acetylcholinesterase inhibitors through integration of machine learning with genetic algorithm based in silico screening approaches. Frontiers in Neuroscience. 16. 1007389–1007389. 6 indexed citations

Sharma, Tanuj, et al.. (2022). Combining structure-based pharmacophore modeling and machine learning for the identification of novel BTK inhibitors. International Journal of Biological Macromolecules. 222(Pt A). 239–250. 10 indexed citations

Baig, Mohammad Hassan, Mohd Yousuf, Mohd Imran Khan, et al.. (2022). Investigating the Mechanism of Inhibition of Cyclin-Dependent Kinase 6 Inhibitory Potential by Selonsertib: Newer Insights Into Drug Repurposing. Frontiers in Oncology. 12. 865454–865454. 9 indexed citations

Sharma, Tanuj, Mohammad Hassan Baig, Mohd Imran Khan, et al.. (2022). Computational screening of camostat and related compounds against human TMPRSS2: A potential treatment of COVID-19. Saudi Pharmaceutical Journal. 30(3). 217–224. 12 indexed citations

Khan, Imran, Mohammad Hassan Baig, Mohd Imran Khan, et al.. (2022). Nanomedicine for glioblastoma: Progress and future prospects. Seminars in Cancer Biology. 86(Pt 2). 172–186. 30 indexed citations

Rafi, Zeeshan, Mohammad Hassan Baig, Fohad Mabood Husain, et al.. (2022). Biological reaction mediated engineered AuNPs facilitated delivery encore the anticancer, antiglycation, and antidiabetic potential of garcinol. Journal of King Saud University - Science. 35(3). 102524–102524. 9 indexed citations

10.

Baig, Mohammad Hassan, Preeti Gupta, Mohd Imran Khan, et al.. (2022). Probing the Interaction of Selonsertib with Human Serum Albumin: Insilico and In vitro Approaches. Current Topics in Medicinal Chemistry. 22(10). 879–890. 1 indexed citations

11.

Wahab, Shadma, Irfan Ahmad, Safia Obaidur Rab, et al.. (2021). Use of Natural Compounds as a Potential Therapeutic Agent Against COVID-19. Current Pharmaceutical Design. 27(9). 1144–1152. 14 indexed citations

12.

Sharma, Tanuj, et al.. (2021). Screening of drug databank against WT and mutant main protease of SARS-CoV-2: Towards finding potential compound for repurposing against COVID-19. Saudi Journal of Biological Sciences. 28(5). 3152–3159. 20 indexed citations

13.

Farouk, Abd‐ElAziem, Mohammad Hassan Baig, Mohd Imran Khan, et al.. (2021). Screening of inhibitors against SARS-CoV-2 spike protein and their capability to block the viral entry mechanism: A viroinformatics study. Saudi Journal of Biological Sciences. 28(6). 3262–3269. 15 indexed citations

14.

Baig, Mohammad Hassan, Tanuj Sharma, Irfan Ahmad, et al.. (2021). Is PF-00835231 a Pan-SARS-CoV-2 Mpro Inhibitor? A Comparative Study. Molecules. 26(6). 1678–1678. 16 indexed citations

15.

Saquib, Mohammad, Mohammad Hassan Baig, Mohammad Faheem Khan, et al.. (2021). Design and Synthesis of Bioinspired Benzocoumarin‐Chalcones Chimeras as Potential Anti‐Breast Cancer Agents. ChemistrySelect. 6(33). 8754–8765. 22 indexed citations

16.

Khan, Mohd Imran, Zainul A. Khan, Mohammad Hassan Baig, et al.. (2020). Comparative genome analysis of novel coronavirus (SARS-CoV-2) from different geographical locations and the effect of mutations on major target proteins: An in silico insight. PLoS ONE. 15(9). e0238344–e0238344. 66 indexed citations

17.

Baig, Mohammad Hassan, Abu Baker, Ghulam Md Ashraf, & Jae-June Dong. (2019). ASK1 and its role in cardiovascular and other disorders: available treatments and future prospects. Expert Review of Proteomics. 16(10). 857–870. 12 indexed citations

18.

Lee, Kyoung Hwa, et al.. (2019). Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach. Journal of Clinical Medicine. 8(10). 1592–1592. 19 indexed citations

19.

Park, Jae Min, Jae-June Dong, Ji‐Won Lee, Jae‐Yong Shim, & Yong‐Jae Lee. (2018). The relationship between employment status and insulin resistance in the Korean elderly population. Aging Clinical and Experimental Research. 30(11). 1385–1390. 1 indexed citations

20.

Dong, Jae-June, Jay J. Shen, & Yong‐Jae Lee. (2017). Dose-Dependent Effect of Cotinine-Verified Tobacco Smoking on Serum Immunoglobulin E Levels in Korean Adult Males. Nicotine & Tobacco Research. 21(6). 813–817. 6 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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