Dong‐Ha Bhang

551 total citations
8 papers, 429 citations indexed

About

Dong‐Ha Bhang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Dong‐Ha Bhang has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Dong‐Ha Bhang's work include Virus-based gene therapy research (2 papers), Extracellular vesicles in disease (2 papers) and Mesenchymal stem cell research (2 papers). Dong‐Ha Bhang is often cited by papers focused on Virus-based gene therapy research (2 papers), Extracellular vesicles in disease (2 papers) and Mesenchymal stem cell research (2 papers). Dong‐Ha Bhang collaborates with scholars based in South Korea, United States and Ethiopia. Dong‐Ha Bhang's co-authors include Hwa‐Young Youn, Qiang Li, Ju‐Hyun An, Lova Sun, Surya Murty, Melissa Stangl, Gary D. Kao, Daniel Y. Joh, Phillip P. Santoiemma and Jay F. Dorsey and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.

In The Last Decade

Dong‐Ha Bhang

8 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong‐Ha Bhang South Korea	7	157	113	112	112	85	8	429
RK Jain India	9	155 1.0×	68 0.6×	53 0.5×	124 1.1×	89 1.0×	38	589
Minliang Wu China	10	228 1.5×	31 0.3×	46 0.4×	173 1.5×	118 1.4×	27	512
Verena M.C. Quent Australia	11	146 0.9×	50 0.4×	84 0.8×	254 2.3×	94 1.1×	13	636
Maryline Fresquet United Kingdom	14	257 1.6×	145 1.3×	42 0.4×	79 0.7×	22 0.3×	17	765
Chung-Ho Sun United States	9	177 1.1×	190 1.7×	35 0.3×	345 3.1×	78 0.9×	11	636
Nathalie Schwenk Germany	17	277 1.8×	44 0.4×	103 0.9×	101 0.9×	59 0.7×	25	589
Tianlu Wang China	8	180 1.1×	71 0.6×	24 0.2×	92 0.8×	39 0.5×	13	375
Huilei Miao China	11	206 1.3×	66 0.6×	33 0.3×	95 0.8×	81 1.0×	39	535
Н. В. Данилова Russia	8	77 0.5×	65 0.6×	35 0.3×	48 0.4×	28 0.3×	61	315
Kamil Bojarczuk Poland	9	168 1.1×	161 1.4×	186 1.7×	125 1.1×	11 0.1×	18	521

Countries citing papers authored by Dong‐Ha Bhang

Since Specialization

Citations

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

Fields of papers citing papers by Dong‐Ha Bhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Ha Bhang. 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 Dong‐Ha Bhang. The network helps show where Dong‐Ha Bhang may publish in the future.

Co-authorship network of co-authors of Dong‐Ha Bhang

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

All Works

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8 of 8 papers shown

Yu, Kyung–Rok, Hong Sook Kim, Kyoung‐Won Seo, et al.. (2023). Serum thymidine kinase 1 protein concentrations and presence of its autoantibody as biomarkers for screening dogs with malignant tumors. Journal of Veterinary Internal Medicine. 38(1). 300–307. 3 indexed citations

An, Ju‐Hyun, Qiang Li, Dong‐Ha Bhang, Woo‐Jin Song, & Hwa‐Young Youn. (2020). TNF-α and INF-γ primed canine stem cell-derived extracellular vesicles alleviate experimental murine colitis. Scientific Reports. 10(1). 2115–2115. 61 indexed citations

An, Ju‐Hyun, et al.. (2020). TSG-6 in extracellular vesicles from canine mesenchymal stem/stromal is a major factor in relieving DSS-induced colitis. PLoS ONE. 15(2). e0220756–e0220756. 50 indexed citations

Ryu, Min‐Ok, Kwan‐Hyuck Baek, Kyoung‐Won Seo, et al.. (2018). Extracellular cyclic adenosine monophosphate‐dependent protein kinase A autoantibody and C‐reactive protein as serum biomarkers for diagnosis of cancer in dogs. Veterinary and Comparative Oncology. 17(1). 99–106. 11 indexed citations

Ryu, Min‐Ok, Min‐Soo Seo, Sang‐Bum Park, et al.. (2017). Mesenchymal Stem Cells Contribute to Improvement of Renal Function in a Canine Kidney Injury Model. In Vivo. 31(6). 1115–1124. 23 indexed citations

Seo, Kyoung‐Won, et al.. (2013). Therapeutic effects of hepatocyte growth factor‐overexpressing human umbilical cord blood‐derived mesenchymal stem cells on liver fibrosis in rats. Cell Biology International. 38(1). 106–116. 44 indexed citations

Joh, Daniel Y., Lova Sun, Melissa Stangl, et al.. (2013). Selective Targeting of Brain Tumors with Gold Nanoparticle-Induced Radiosensitization. PLoS ONE. 8(4). e62425–e62425. 188 indexed citations

Baek, Kwan‐Hyuck, Dong‐Ha Bhang, A. Zaslavsky, et al.. (2013). Thrombospondin-1 mediates oncogenic Ras–induced senescence in premalignant lung tumors. Journal of Clinical Investigation. 123(10). 4375–4389. 49 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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