Joo Young Bang

979 total citations
8 papers, 820 citations indexed

About

Joo Young Bang is a scholar working on Molecular Biology, Microbiology and Cancer Research. According to data from OpenAlex, Joo Young Bang has authored 8 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Microbiology and 2 papers in Cancer Research. Recurrent topics in Joo Young Bang's work include Bacterial Infections and Vaccines (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Retinal and Optic Conditions (1 paper). Joo Young Bang is often cited by papers focused on Bacterial Infections and Vaccines (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Retinal and Optic Conditions (1 paper). Joo Young Bang collaborates with scholars based in South Korea, United States and United Kingdom. Joo Young Bang's co-authors include Kwang Pyo Kim, Gun Wook Park, Kyung‐Hoon Kwon, Dongsic Choi, Yong Song Gho, Eun‐Young Lee, Kyong‐Su Park, Yoon‐Keun Kim, Hyun‐Jung Kim and Hyung Soon Park and has published in prestigious journals such as Chemical Communications, Biochemical and Biophysical Research Communications and Journal of Proteome Research.

In The Last Decade

Joo Young Bang

8 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joo Young Bang South Korea	6	545	215	173	115	77	8	820
Manuela Vici Italy	13	476 0.9×	60 0.3×	60 0.3×	69 0.6×	39 0.5×	23	799
Maria Letizia Giardino Torchia United States	10	497 0.9×	183 0.9×	69 0.4×	112 1.0×	271 3.5×	16	832
Guylaine Lépine Canada	13	291 0.5×	61 0.3×	62 0.4×	121 1.1×	67 0.9×	23	803
Wenjuan Du China	20	423 0.8×	61 0.3×	74 0.4×	395 3.4×	142 1.8×	69	1.1k
K. Chul Kim United States	17	631 1.2×	50 0.2×	71 0.4×	119 1.0×	341 4.4×	20	1.1k
Koki Matsumoto Japan	14	270 0.5×	41 0.2×	75 0.4×	24 0.2×	63 0.8×	20	594
Klaus T. Jensen Denmark	12	313 0.6×	123 0.6×	86 0.5×	103 0.9×	152 2.0×	16	597
Waka Ishida Japan	20	252 0.5×	85 0.4×	60 0.3×	52 0.5×	372 4.8×	69	1.1k
Monica Cricca Italy	18	393 0.7×	74 0.3×	167 1.0×	533 4.6×	90 1.2×	63	1.1k
Kyung‐No Son United States	15	280 0.5×	56 0.3×	59 0.3×	103 0.9×	226 2.9×	31	747

Countries citing papers authored by Joo Young Bang

Since Specialization

Citations

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

Fields of papers citing papers by Joo Young Bang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo Young Bang. 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 Joo Young Bang. The network helps show where Joo Young Bang may publish in the future.

Co-authorship network of co-authors of Joo Young Bang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bang, Joo Young, Ae Jin Choi, Jee-Hyun Yoon, et al.. (2014). Exosomal Proteins in the Aqueous Humor as Novel Biomarkers in Patients with Neovascular Age-related Macular Degeneration. Journal of Proteome Research. 13(2). 581–595. 127 indexed citations

2.

Kim, Jaehwan, Byung Hee Kang, Hyung Soon Park, et al.. (2013). AMP-activated protein kinase phosphorylates CtBP1 and down-regulates its activity. Biochemical and Biophysical Research Communications. 431(1). 8–13. 11 indexed citations

3.

Bang, Joo Young, et al.. (2013). Quantitative detection of single base mutation by combining PNA hybridization and MALDI-TOF mass analysis. Chemical Communications. 49(36). 3754–3754. 3 indexed citations

4.

Son, Jino, Sung‐Eun Lee, Byeoung‐Soo Park, et al.. (2011). Biomarker discovery and proteomic evaluation of cadmium toxicity on a collembolan species, Paronychiurus kimi (Lee). PROTEOMICS. 11(11). 2294–2307. 21 indexed citations

5.

Lee, Kwanbok, Nawapol Kunkeaw, Sung Ho Jeon, et al.. (2011). Precursor miR-886, a novel noncoding RNA repressed in cancer, associates with PKR and modulates its activity. RNA. 17(6). 1076–1089. 130 indexed citations

6.

Lee, Eun‐Young, Joo Young Bang, Gun Wook Park, et al.. (2007). Global proteomic profiling of native outer membrane vesicles derived from Escherichia coli. PROTEOMICS. 7(20). 3821–3821. 1 indexed citations

7.

Choi, Dongsic, Jaemin Lee, Gun Wook Park, et al.. (2007). Proteomic Analysis of Microvesicles Derived from Human Colorectal Cancer Cells. Journal of Proteome Research. 6(12). 4646–4655. 171 indexed citations

8.

Lee, Eun‐Young, Joo Young Bang, Gun Wook Park, et al.. (2007). Global proteomic profiling of native outer membrane vesicles derived from Escherichia coli. PROTEOMICS. 7(17). 3143–3153. 356 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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