Eun-Joung Moon

618 total citations
10 papers, 532 citations indexed

About

Eun-Joung Moon is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Eun-Joung Moon has authored 10 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Surgery. Recurrent topics in Eun-Joung Moon's work include Protein Structure and Dynamics (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Eun-Joung Moon is often cited by papers focused on Protein Structure and Dynamics (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Eun-Joung Moon collaborates with scholars based in South Korea and Japan. Eun-Joung Moon's co-authors include Kyu-Won Kim, Youngmi Kim, Jae‐Hong Kim, Young‐Guen Kwon, Myoung‐Jin Lee, Kyuwon Kim, Seung-Ki Lee, Kyu‐Won Kim, You Mie Lee and Hae Jin Kim and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Spine and International Journal of Biological Macromolecules.

In The Last Decade

Eun-Joung Moon

9 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun-Joung Moon South Korea 6 348 121 69 56 47 10 532
Bum‐Ho Bin South Korea 17 273 0.8× 131 1.1× 58 0.8× 69 1.2× 72 1.5× 32 776
Kathleen L. Tober United States 19 338 1.0× 94 0.8× 46 0.7× 77 1.4× 59 1.3× 31 977
Qiang Qiu China 14 377 1.1× 44 0.4× 43 0.6× 49 0.9× 15 0.3× 30 540
Jiayuh Lin United States 13 707 2.0× 203 1.7× 28 0.4× 119 2.1× 54 1.1× 19 1.3k
An Van Laethem Belgium 13 388 1.1× 119 1.0× 39 0.6× 80 1.4× 12 0.3× 27 816
Ningning Dang China 17 378 1.1× 217 1.8× 62 0.9× 77 1.4× 15 0.3× 38 745
Anja Knott Germany 12 220 0.6× 54 0.4× 21 0.3× 70 1.3× 52 1.1× 18 503
Jung Hwan Oh South Korea 13 165 0.5× 73 0.6× 30 0.4× 37 0.7× 21 0.4× 50 521
Eleni Bagli Greece 13 368 1.1× 39 0.3× 60 0.9× 81 1.4× 16 0.3× 27 744
Yu Qian China 17 450 1.3× 116 1.0× 40 0.6× 104 1.9× 7 0.1× 37 703

Countries citing papers authored by Eun-Joung Moon

Since Specialization
Citations

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

Fields of papers citing papers by Eun-Joung Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Joung Moon. 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 Eun-Joung Moon. The network helps show where Eun-Joung Moon may publish in the future.

Co-authorship network of co-authors of Eun-Joung Moon

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

All Works

10 of 10 papers shown
1.
2.
Kwon, Young‐Joon, et al.. (2012). Anabolic Effects of Peniel 2000, a Peptide That Regulates TGF-β1 Signaling on Intervertebral Disc Degeneration. Spine. 38(2). E49–E58. 25 indexed citations
3.
Kim, Hae Jin, Eun-Joung Moon, Young-Hoon Park, et al.. (2007). NEW METHOD OF EVALUATING RELATIVE THERMAL STABILITIES OF PROTEINS BASED ON THEIR AMINO ACID SEQUENCES: TARGETSTAR. International Journal of Modern Physics C. 18(10). 1513–1526. 5 indexed citations
4.
Jeon, Ji Hyun, Hyun Beom Song, Eun-Joung Moon, et al.. (2006). Anti-angiogenic action of plasma hyaluronan binding protein in human umbilical vein endothelial cells. International Journal of Oncology. 29(1). 209–15. 11 indexed citations
5.
Kim, Suhkmann, et al.. (2005). Perceptron learning of pairwise contact energies for proteins incorporating the amino acid environment. Physical Review E. 72(1). 11906–11906. 6 indexed citations
6.
Cheon, Mookyung, et al.. (2005). Extension of the pairwise-contact energy parameters for proteins with the local environments of amino acids. Physica A Statistical Mechanics and its Applications. 351(2-4). 439–447. 2 indexed citations
7.
Cheon, Mookyung, et al.. (2004). Environment-dependent one-body score function for proteins by perceptron learning and protein threading. Journal of the Korean Physical Society. 45(2). 550–557. 2 indexed citations
8.
Moon, Eun-Joung, You Mie Lee, & Kyu‐Won Kim. (2003). Anti-angiogenic activity of conjugated linoleic acid on basic fibroblast growth factor-induced angiogenesis.. PubMed. 10(3). 617–21. 18 indexed citations
9.
Moon, Eun-Joung, et al.. (1999). A ncovel angiogenic factor derived from Aloe vera gel: β-sitosterol, a plant sterol. Angiogenesis. 3(2). 117–123. 141 indexed citations
10.
Kim, Youngmi, et al.. (1999). Sphingosine 1-Phosphate Induces Angiogenesis: Its Angiogenic Action and Signaling Mechanism in Human Umbilical Vein Endothelial Cells. Biochemical and Biophysical Research Communications. 264(3). 743–750. 322 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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