Byungjoon Kang

595 total citations
11 papers, 526 citations indexed

About

Byungjoon Kang is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Byungjoon Kang has authored 11 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 7 papers in Inorganic Chemistry and 5 papers in Molecular Biology. Recurrent topics in Byungjoon Kang's work include Asymmetric Hydrogenation and Catalysis (7 papers), Chemical Synthesis and Analysis (5 papers) and Catalytic C–H Functionalization Methods (4 papers). Byungjoon Kang is often cited by papers focused on Asymmetric Hydrogenation and Catalysis (7 papers), Chemical Synthesis and Analysis (5 papers) and Catalytic C–H Functionalization Methods (4 papers). Byungjoon Kang collaborates with scholars based in South Korea and Singapore. Byungjoon Kang's co-authors include Soon Hyeok Hong, Zhenqian Fu, Jungwon Kim, Kum Hee Lee, Sungmin Kim, Byoungki Choi, Seung‐Yeon Kwak, Jun Yeob Lee, Junseop Lim and Jae‐Min Kim and has published in prestigious journals such as Journal of the American Chemical Society, ACS Catalysis and Tetrahedron.

In The Last Decade

Byungjoon Kang

11 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byungjoon Kang South Korea 9 444 276 177 98 45 11 526
Kristine A. Nolin United States 9 589 1.3× 382 1.4× 96 0.5× 132 1.3× 45 1.0× 13 680
Yogesh S. Wagh India 13 421 0.9× 125 0.5× 153 0.9× 52 0.5× 41 0.9× 17 495
Onkar S. Nayal India 12 263 0.6× 147 0.5× 89 0.5× 63 0.6× 48 1.1× 23 370
Abhishek Kundu India 11 382 0.9× 365 1.3× 72 0.4× 151 1.5× 50 1.1× 27 519
Kostiantyn O. Marichev United States 14 485 1.1× 161 0.6× 75 0.4× 70 0.7× 30 0.7× 25 560
Sourajit Bera India 12 407 0.9× 337 1.2× 82 0.5× 117 1.2× 29 0.6× 14 485
Noor U Din Reshi India 10 286 0.6× 209 0.8× 67 0.4× 47 0.5× 34 0.8× 19 350
Xingao Peng China 14 811 1.8× 222 0.8× 76 0.4× 93 0.9× 74 1.6× 19 870
Sabine Pisiewicz Germany 8 423 1.0× 286 1.0× 100 0.6× 42 0.4× 57 1.3× 8 471
Rocı́o Marcos Sweden 13 485 1.1× 425 1.5× 132 0.7× 135 1.4× 74 1.6× 20 671

Countries citing papers authored by Byungjoon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Byungjoon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byungjoon Kang

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

All Works

11 of 11 papers shown
1.
Lee, Soo‐Yong, et al.. (2023). Deep learning-based detection of mask rule check violations in curvilinear mask. 12–12. 1 indexed citations
2.
Kim, Jae‐Min, Kyu Young Hwang, Sungmin Kim, et al.. (2022). Enhancing Horizontal Ratio of Transition Dipole Moment in Homoleptic Ir Complexes for High Outcoupling Efficiency of Organic Light‐Emitting Diodes. Advanced Science. 9(31). e2203903–e2203903. 17 indexed citations
3.
Kim, Jungwon, Byungjoon Kang, & Soon Hyeok Hong. (2020). Direct Allylic C(sp3)–H Thiolation with Disulfides via Visible Light Photoredox Catalysis. ACS Catalysis. 10(11). 6013–6022. 55 indexed citations
4.
Kang, Byungjoon & Soon Hyeok Hong. (2017). Photoredox mediated nickel catalyzed C(sp3)–H thiocarbonylation of ethers. Chemical Science. 8(9). 6613–6618. 47 indexed citations
5.
Kang, Byungjoon, et al.. (2016). Ruthenium-catalyzed selective imine synthesis from nitriles and secondary alcohols under hydrogen acceptor- and base-free conditions. Organic Chemistry Frontiers. 3(4). 475–479. 16 indexed citations
7.
Kang, Byungjoon & Soon Hyeok Hong. (2015). Hydrogen Acceptor‐ and Base‐Free N‐Formylation of Nitriles and Amines using Methanol as C1 Source. Advanced Synthesis & Catalysis. 357(4). 834–840. 75 indexed citations
8.
Kang, Byungjoon, et al.. (2014). Fe-Catalyzed Acceptorless Dehydrogenation of Secondary Benzylic Alcohols. ACS Catalysis. 4(9). 2889–2895. 107 indexed citations
9.
Kang, Byungjoon, Zhenqian Fu, & Soon Hyeok Hong. (2014). ChemInform Abstract: Ruthenium‐Catalyzed Redox‐Neutral and Single‐Step Amide Synthesis from Alcohol and Nitrile with Complete Atom Economy.. ChemInform. 45(5). 1 indexed citations
10.
Kang, Byungjoon, Zhenqian Fu, & Soon Hyeok Hong. (2013). Ruthenium-Catalyzed Redox-Neutral and Single-Step Amide Synthesis from Alcohol and Nitrile with Complete Atom Economy. Journal of the American Chemical Society. 135(32). 11704–11707. 115 indexed citations
11.
Fu, Zhenqian, et al.. (2012). Dehydrogenative Amide Synthesis: Azide as a Nitrogen Source. Organic Letters. 14(23). 6028–6031. 57 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026