M. Kim

32.4k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

M. Kim is a scholar working on Organic Chemistry, Aerospace Engineering and Analytical Chemistry. According to data from OpenAlex, M. Kim has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 4 papers in Aerospace Engineering and 4 papers in Analytical Chemistry. Recurrent topics in M. Kim's work include Electrocatalysts for Energy Conversion (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Superconducting Materials and Applications (3 papers). M. Kim is often cited by papers focused on Electrocatalysts for Energy Conversion (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Superconducting Materials and Applications (3 papers). M. Kim collaborates with scholars based in South Korea, United States and Japan. M. Kim's co-authors include Jeong‐Min Seo, Liming Dai, Jong‐Beom Baek, In‐Yup Jeon, Sun‐Min Jung, Hyun‐Jung Choi, Yena Kim, Sang Woo Han, Shin Wook Kang and Joon‐Hwa Lee and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

M. Kim

26 papers receiving 1.4k citations

Hit Papers

Large-Scale Production of Edge-Selectively Functionalized... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Kim South Korea 11 671 603 581 250 186 28 1.4k
Jun Feng China 23 925 1.4× 733 1.2× 316 0.5× 442 1.8× 440 2.4× 73 2.0k
Arumugam Selva Sharma India 24 443 0.7× 807 1.3× 109 0.2× 425 1.7× 407 2.2× 43 1.7k
Liang Zhu China 22 695 1.0× 475 0.8× 307 0.5× 502 2.0× 371 2.0× 68 1.9k
Sayed M. Saleh Saudi Arabia 27 433 0.6× 1.2k 2.1× 288 0.5× 155 0.6× 460 2.5× 91 2.4k
Jiefang Sun China 22 261 0.4× 483 0.8× 169 0.3× 263 1.1× 373 2.0× 62 1.2k
W. S. Mohamed Egypt 21 668 1.0× 1.1k 1.8× 416 0.7× 394 1.6× 169 0.9× 76 1.6k
Carlos De La Cruz Venezuela 18 383 0.6× 332 0.6× 107 0.2× 110 0.4× 122 0.7× 41 1.1k
Piotr Pietrzyk Poland 23 192 0.3× 1.1k 1.8× 344 0.6× 137 0.5× 125 0.7× 73 1.7k
Alicja Mikołajczyk Poland 24 339 0.5× 992 1.6× 627 1.1× 120 0.5× 156 0.8× 50 1.5k
Pranay P. Morajkar India 22 314 0.5× 530 0.9× 244 0.4× 210 0.8× 324 1.7× 49 1.6k

Countries citing papers authored by M. Kim

Since Specialization
Citations

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

Fields of papers citing papers by M. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kim

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

All Works

20 of 20 papers shown
1.
Han, Sanghoon, et al.. (2025). Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish. BMC Medical Informatics and Decision Making. 25(1). 228–228.
3.
Ko, Kwanyoung, et al.. (2024). Design and optimization of a continuous purification process using ion-exchange periodic counter-current chromatography for a low-titer enzyme. Biotechnology and Bioprocess Engineering. 29(4). 721–732. 2 indexed citations
4.
Sweger, Z. W., Saeahram Yoo, D. Cebra, et al.. (2023). Modeling backward-angle (uchannel) virtual Compton scattering at the future Electron-Ion Collider. Physical review. C. 108(5). 1 indexed citations
5.
Salvemini, Filomena, et al.. (2023). An Insight into a Shang Dynasty Bronze Vessel by Nuclear Techniques. Applied Sciences. 13(3). 1549–1549. 3 indexed citations
6.
Lee, Jae Wook, et al.. (2022). Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7345–7353. 9 indexed citations
7.
Kim, M., et al.. (2019). Integrating agent actions with genetic action sequence method. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 59–60. 4 indexed citations
8.
Zastrau, U., H.-K. Chung, Aaron Bernstein, et al.. (2018). Diagnosis of warm dense conditions in foil targets heated by intense femtosecond laser pulses using Kα imaging spectroscopy. Optics Express. 26(5). 6294–6294. 11 indexed citations
9.
Jeon, In‐Yup, Hyun‐Jung Choi, Min Choi, et al.. (2013). Facile, scalable synthesis of edge-halogenated graphene nanoplatelets as efficient metal-free eletrocatalysts for oxygen reduction reaction. Scientific Reports. 3(1). 1810–1810. 304 indexed citations
10.
Jeon, In‐Yup, Hyun‐Jung Choi, Sun‐Min Jung, et al.. (2012). Large-Scale Production of Edge-Selectively Functionalized Graphene Nanoplatelets via Ball Milling and Their Use as Metal-Free Electrocatalysts for Oxygen Reduction Reaction. Journal of the American Chemical Society. 135(4). 1386–1393. 588 indexed citations breakdown →
11.
Lee, Young Wook, M. Kim, Yena Kim, et al.. (2010). Synthesis and Electrocatalytic Activity of Au−Pd Alloy Nanodendrites for Ethanol Oxidation. The Journal of Physical Chemistry C. 114(17). 7689–7693. 213 indexed citations
12.
Kim, M., et al.. (2009). Investigation of the Assimilated Surface Wind Characteristics for the Evaluation of Wind Resources. Journal of Korean Society for Atmospheric Environment. 25(1). 1–14. 4 indexed citations
14.
Kim, M., Min-Koo Choi, Suk‐Jae Chung, et al.. (2008). Skin Permeation Enhancement of Diclofenac by Fatty Acids. Drug Delivery. 15(6). 373–379. 88 indexed citations
15.
Kim, M., Jaegeun Noh, & Hoeil Chung. (2008). Comparison of near-infrared and Raman spectroscopy for the determination of the density of polyethylene pellets. Analytica Chimica Acta. 632(1). 122–127. 19 indexed citations
16.
Kim, M., Hoeil Chung, Young‐Ah Woo, & Mark S. Kemper. (2007). A new non-invasive, quantitative Raman technique for the determination of an active ingredient in pharmaceutical liquids by direct measurement through a plastic bottle. Analytica Chimica Acta. 587(2). 200–207. 58 indexed citations
17.
Park, Seok, M. Kim, Jaegeun Noh, et al.. (2007). Reliable and fast quantitative analysis of active ingredient in pharmaceutical suspension using Raman spectroscopy. Analytica Chimica Acta. 593(1). 46–53. 49 indexed citations
18.
Kim, Jeum‐Jong, et al.. (2007). Effective esterification of carboxylic acids using (6-oxo-6H-pyridazin-1-yl)phosphoric acid diethyl ester as novel coupling agents. Tetrahedron. 63(51). 12720–12730. 30 indexed citations
19.
Kim, M., et al.. (2004). Effects of Carrot Powder in Dough on the Lipid Oxidation and Carotene Content of Fried Dough during Storage in the Dark. Journal of Food Science. 69(5). 13 indexed citations
20.
Kim, M., et al.. (2003). Pigment Changes in Fried Dough Containing Spinach Powder During Storage in the Dark. Journal of Food Science. 68(6). 1923–1927. 1 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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