Young Mok Park

2.0k total citations
59 papers, 1.5k citations indexed

About

Young Mok Park is a scholar working on Molecular Biology, Spectroscopy and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Young Mok Park has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 19 papers in Spectroscopy and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Young Mok Park's work include Advanced Proteomics Techniques and Applications (18 papers), Photosynthetic Processes and Mechanisms (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Young Mok Park is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Photosynthetic Processes and Mechanisms (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Young Mok Park collaborates with scholars based in South Korea, United States and Germany. Young Mok Park's co-authors include Jong Shin Yoo, Bong‐Hee Lee, Kyunghee Byun, Young‐Ho Chung, Jin Young Kim, Yoon‐Jung Moon, Jong‐Soon Choi, Myeongjoo Son, Ghasem Hosseini Salekdeh and Jaesuk Lee and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Young Mok Park

59 papers receiving 1.5k citations

Peers

Young Mok Park
Young Mok Park
Citations per year, relative to Young Mok Park Young Mok Park (= 1×) peers Kenneth J. Rodgers

Countries citing papers authored by Young Mok Park

Since Specialization
Citations

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

Fields of papers citing papers by Young Mok Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Mok Park

This figure shows the co-authorship network connecting the top 25 collaborators of Young Mok Park. A scholar is included among the top collaborators of Young Mok Park 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 Young Mok Park. Young Mok Park 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.
Byun, Kyunghee, Myeongjoo Son, Jaesuk Lee, et al.. (2017). Advanced glycation end-products produced systemically and by macrophages: A common contributor to inflammation and degenerative diseases. Pharmacology & Therapeutics. 177. 44–55. 275 indexed citations
2.
Kim, Jae Ho, Julien Franck, Helmut Heinsen, et al.. (2015). Proteome-wide characterization of signalling interactions in the hippocampal CA4/DG subfield of patients with Alzheimer’s disease. Scientific Reports. 5(1). 11138–11138. 46 indexed citations
3.
Steinbach, Simone, Young Mok Park, Ana Tereza Di Lorenzo Alho, et al.. (2015). Enrichment of single neurons and defined brain regions from human brain tissue samples for subsequent proteome analysis. Journal of Neural Transmission. 122(7). 993–1005. 14 indexed citations
4.
Hong, Ingie, Ki Na Yun, Sungmo Park, et al.. (2013). Quantitative proteomics of auditory fear conditioning. Biochemical and Biophysical Research Communications. 434(1). 87–94. 14 indexed citations
5.
Byun, Kyunghee, Enkhjargal Bayarsaikhan, Daesik Kim, et al.. (2012). Induction of Neuronal Death by Microglial AGE-Albumin: Implications for Alzheimer’s Disease. PLoS ONE. 7(5). e37917–e37917. 71 indexed citations
6.
Stephan, Christoph, et al.. (2012). Translational Proteomics in Neurodegenerative Diseases – 16th HUPO BPP Workshop September 5, 2011, Geneva, Switzerland. PROTEOMICS. 12(3). 356–358. 2 indexed citations
7.
Moon, Yoon‐Jung, et al.. (2010). The Role of Cyanopterin in UV/Blue Light Signal Transduction of Cyanobacterium Synechocystis sp. PCC 6803 Phototaxis. Plant and Cell Physiology. 51(6). 969–980. 31 indexed citations
8.
Eisenacher, Martin, Christoph Stephan, Katrin Marcus, et al.. (2010). Human Brain Proteome Project – 12th HUPO BPP Workshop 26 September 2009, Toronto, Canada. PROTEOMICS. 10(11). 2071–2073. 1 indexed citations
9.
Moon, Yoon‐Jung, Soo Youn Kim, Kwang‐Hwan Jung, et al.. (2010). Cyanobacterial phytochrome Cph2 is a negative regulator in phototaxis toward UV-A. FEBS Letters. 585(2). 335–340. 24 indexed citations
10.
Kim, Young Hye, Katrin Marcus, Lea T. Grinberg, et al.. (2009). Toward a Successful Clinical Neuroproteomics The 11th HUPO Brain Proteome Project Workshop 3 March, 2009, Kolymbari, Greece. PROTEOMICS - CLINICAL APPLICATIONS. 3(9). 1012–1016. 3 indexed citations
11.
Kim, Young Hye, Jin Young Kim, Se Young Kim, et al.. (2009). Alteration in the glycan pattern of pilin in a nonmotile mutant of Synechocystis sp. PCC 6803. PROTEOMICS. 9(4). 1075–1086. 17 indexed citations
12.
Hamacher, Michael, Christoph Stephan, Martin Eisenacher, et al.. (2007). Proteomics for everyday use: Activities of the HUPO Brain Proteome Project during the 5th HUPO World Congress. PROTEOMICS. 7(7). 1012–1015. 7 indexed citations
13.
Hamacher, Michael, Christoph Stephan, Martin Eisenacher, et al.. (2007). High Performance Proteomics: 7 th HUPO Brain Proteome Project Workshop March 7–9, 2007 Wellcome Trust Conference Centre, Hinxton, UK. PROTEOMICS. 7(15). 2490–2496. 1 indexed citations
14.
Kim, Jin Young, Jeong Hwa Lee, Gun Wook Park, et al.. (2005). Utility of electrophoretically derived protein mass estimates as additional constraints in proteome analysis of human serum based on MS/MS analysis. PROTEOMICS. 5(13). 3376–3385. 28 indexed citations
15.
Kim, Young Hye, Young Mok Park, Soo-Jung Kim, et al.. (2004). The role of Slr1443 in pilus biogenesis in Synechocystis sp. PCC 6803: involvement in post-translational modification of pilins. Biochemical and Biophysical Research Communications. 315(1). 179–186. 18 indexed citations
16.
Kim, Seung Il, Jin Young Kim, Eun A. Kim, et al.. (2003). Proteome analysis of hairy root from Panax ginseng C. A. Meyer using peptide fingerprinting, internal sequencing and expressed sequence tag data. PROTEOMICS. 3(12). 2379–2392. 51 indexed citations
17.
Kwon, Kyung‐Hoon, Jin Young Kim, Kyung-Wook Kim, et al.. (2003). Efficiency improvement of peptide identification for an organism without complete genome sequence, using expressed sequence tag database and tandem mass spectral data. PROTEOMICS. 3(12). 2305–2309. 19 indexed citations
18.
Choi, Jong‐Soon, et al.. (2003). Light-induced dephosphorylation of a 65-kDa protein in the cyanobacterium Synechocystis sp. PCC 6803. Journal of Plant Physiology. 160(10). 1259–1261. 1 indexed citations
19.
Choi, Jong‐Soon, Jin‐Suk Lee, Soo-Jung Kim, et al.. (2000). Proteome Analysis of Light-induced Proteins in Synechocystis sp. PCC 6803: Identification of Proteins Separated by 2D-PAGE Using N-terminal Sequencing and MALDI-TOF MS. Molecules and Cells. 10(6). 705–711. 27 indexed citations
20.
Choi, Jong‐Soon, Young‐Ho Chung, Yoon‐Jung Moon, et al.. (1999). Photomovement of the Gliding Cyanobacterium Synechocystis sp. PCC 6803. Photochemistry and Photobiology. 70(1). 95–95. 72 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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