Byeongsoo Kang

821 total citations · 1 hit paper
6 papers, 473 citations indexed

About

Byeongsoo Kang is a scholar working on Molecular Biology, Computational Mechanics and Neurology. According to data from OpenAlex, Byeongsoo Kang has authored 6 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computational Mechanics and 1 paper in Neurology. Recurrent topics in Byeongsoo Kang's work include Ion-surface interactions and analysis (2 papers), RNA modifications and cancer (1 paper) and Retinal Development and Disorders (1 paper). Byeongsoo Kang is often cited by papers focused on Ion-surface interactions and analysis (2 papers), RNA modifications and cancer (1 paper) and Retinal Development and Disorders (1 paper). Byeongsoo Kang collaborates with scholars based in South Korea, United States and Sweden. Byeongsoo Kang's co-authors include Daehee Hwang, Ji Hyun Kim, Dongsic Choi, Yong Song Gho, Yae Jin Yoon, Jan Lötvall, Kyong‐Su Park, Eun‐Jeong Choi, Gyeongyun Go and Jae‐Wook Lee and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Cell Death and Disease.

In The Last Decade

Byeongsoo Kang

6 papers receiving 464 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.

EVpedia: an integrated database of high‐throughput data for systemic analyses of extracellular vesicles

2013 413 citations Dae‐Kyum Kim, Byeongsoo Kang et al. Journal of Extracellular Vesicles profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byeongsoo Kang South Korea	6	420	249	51	35	34	6	473
Zankruti Dave Czechia	6	367 0.9×	182 0.7×	37 0.7×	23 0.7×	64 1.9×	6	407
Ladislav Ilkovics Czechia	5	351 0.8×	179 0.7×	31 0.6×	27 0.8×	66 1.9×	7	397
Pia Pužar Dominkuš Slovenia	5	284 0.7×	145 0.6×	38 0.7×	26 0.7×	44 1.3×	7	342
Tanina Arab United States	8	302 0.7×	130 0.5×	60 1.2×	11 0.3×	36 1.1×	12	351
Paula Abou Karam Israel	7	296 0.7×	68 0.3×	131 2.6×	29 0.8×	29 0.9×	12	499
Natalya Ossina Russia	6	271 0.6×	59 0.2×	141 2.8×	8 0.2×	21 0.6×	9	447
H. James Stunden Germany	6	294 0.7×	218 0.9×	152 3.0×	32 0.9×	24 0.7×	6	455
Grégory Lavieu France	4	394 0.9×	109 0.4×	58 1.1×	23 0.7×	23 0.7×	5	479
Sujeeve Jeganathan Canada	7	263 0.6×	67 0.3×	80 1.6×	9 0.3×	10 0.3×	8	419

Countries citing papers authored by Byeongsoo Kang

Since Specialization

Citations

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

Fields of papers citing papers by Byeongsoo Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeongsoo Kang

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

All Works

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6 of 6 papers shown

1.

Kang, Byeongsoo, et al.. (2019). Wnt3a disrupts GR-TEAD4-PPARγ2 positive circuits and cytoskeletal rearrangement in a β-catenin-dependent manner during early adipogenesis. Cell Death and Disease. 10(1). 16–16. 13 indexed citations

2.

Kim, Hyun Jin, et al.. (2019). Systematic analysis of expression signatures of neuronal subpopulations in the VTA. Molecular Brain. 12(1). 110–110. 12 indexed citations

3.

Park, Jiwon, Hyobin Jeong, Byeongsoo Kang, et al.. (2015). Multi-dimensional TOF-SIMS analysis for effective profiling of disease-related ions from the tissue surface. Scientific Reports. 5(1). 11077–11077. 14 indexed citations

4.

Choi, Daeseok, Jaemyung Choi, Byeongsoo Kang, et al.. (2014). iNID: An Analytical Framework for Identifying Network Models for Interplays among Developmental Signaling in Arabidopsis. Molecular Plant. 7(5). 792–813. 10 indexed citations

5.

Kim, Dae‐Kyum, Byeongsoo Kang, Oh Youn Kim, et al.. (2013). EVpedia: an integrated database of high‐throughput data for systemic analyses of extracellular vesicles. Journal of Extracellular Vesicles. 2(1). 413 indexed citations breakdown →

6.

Yun, So Jeong, Il Ju Choi, Byeongsoo Kang, et al.. (2011). TOFSIMS-P: A Web-Based Platform for Analysis of Large-Scale TOF-SIMS Data. Analytical Chemistry. 83(24). 9298–9305. 11 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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