Hye-Won Song

1.1k total citations
9 papers, 842 citations indexed

About

Hye-Won Song is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Hye-Won Song has authored 9 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Reproductive Medicine. Recurrent topics in Hye-Won Song's work include RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers) and Renal and related cancers (2 papers). Hye-Won Song is often cited by papers focused on RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers) and Renal and related cancers (2 papers). Hye-Won Song collaborates with scholars based in United States, Netherlands and South Korea. Hye-Won Song's co-authors include Miles Wilkinson, Eleen Y. Shum, Lulu Huang, Rachid Karam, Dirk G. de Rooij, Anjana Bhardwaj, Raja Rabah, Abhishek Sohni, Dana Burow and Saher Sue Hammoud and has published in prestigious journals such as Cell, Molecular Cell and Archives of Biochemistry and Biophysics.

In The Last Decade

Hye-Won Song

9 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hye-Won Song United States	9	692	149	142	128	116	9	842
Heidi Cook‐Andersen United States	14	470 0.7×	137 0.9×	70 0.5×	94 0.7×	160 1.4×	22	665
Tie‐Gang Meng China	15	481 0.7×	121 0.8×	112 0.8×	113 0.9×	288 2.5×	56	717
Buhe Nashun China	11	788 1.1×	41 0.3×	125 0.9×	68 0.5×	117 1.0×	19	913
Yilu Lu China	13	384 0.6×	133 0.9×	121 0.9×	223 1.7×	55 0.5×	29	593
Brinda Dass United States	16	537 0.8×	72 0.5×	139 1.0×	55 0.4×	60 0.5×	29	748
Michihiko Sugimoto Japan	17	973 1.4×	67 0.4×	411 2.9×	54 0.4×	314 2.7×	32	1.2k
Gabbine Wee South Korea	17	585 0.8×	147 1.0×	201 1.4×	134 1.0×	478 4.1×	38	953
D. V. Krishna Pantakani Germany	12	238 0.3×	57 0.4×	96 0.7×	73 0.6×	47 0.4×	16	356
Jens Durruthy-Durruthy United States	9	485 0.7×	46 0.3×	100 0.7×	76 0.6×	65 0.6×	9	562
Carole Gautier‐Courteille France	13	376 0.5×	82 0.6×	57 0.4×	54 0.4×	60 0.5×	24	490

Countries citing papers authored by Hye-Won Song

Since Specialization

Citations

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

Fields of papers citing papers by Hye-Won Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye-Won Song. 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 Hye-Won Song. The network helps show where Hye-Won Song may publish in the future.

Co-authorship network of co-authors of Hye-Won Song

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Sohni, Abhishek, Kun Tan, Hye-Won Song, et al.. (2019). The Neonatal and Adult Human Testis Defined at the Single-Cell Level. Cell Reports. 26(6). 1501–1517.e4. 223 indexed citations

Shum, Eleen Y., Jennifer N. Chousal, Wai-Kin Chan, et al.. (2016). The Antagonistic Gene Paralogs Upf3a and Upf3b Govern Nonsense-Mediated RNA Decay. Cell. 165(2). 382–395. 122 indexed citations

Song, Hye-Won, et al.. (2016). Comparison of the contents of benzo(a)pyrene, sesamol and sesamolin, and volatiles in sesame oils according to origins of sesame seeds. Applied Biological Chemistry. 59(1). 129–141. 18 indexed citations

Song, Hye-Won, Christina Tenenhaus Dann, John R. McCarrey, et al.. (2012). Dynamic expression pattern and subcellular localization of the Rhox10 homeobox transcription factor during early germ cell development. Reproduction. 143(5). 611–624. 19 indexed citations

Bhardwaj, Anjana, Hye-Won Song, Stefanie Kerkhofs, et al.. (2012). DNA Demethylation-Dependent AR Recruitment and GATA Factors Drive Rhox5 Homeobox Gene Transcription in the Epididymis. Molecular Endocrinology. 26(4). 538–549. 17 indexed citations

Huang, Lulu, Waikin Chan, Eleen Y. Shum, et al.. (2011). RNA Homeostasis Governed by Cell Type-Specific and Branched Feedback Loops Acting on NMD. Molecular Cell. 43(6). 950–961. 171 indexed citations

Bruno, Ivone, Rachid Karam, Lulu Huang, et al.. (2011). Identification of a MicroRNA that Activates Gene Expression by Repressing Nonsense-Mediated RNA Decay. Molecular Cell. 42(4). 500–510. 230 indexed citations

Song, Hye-Won, Agnes P. Chan, Yi Zhou, et al.. (2007). Hermes RNA-binding protein targets RNAs-encoding proteins involved in meiotic maturation, early cleavage, and germline development. Differentiation. 75(6). 519–528. 29 indexed citations

Song, Hye-Won, Seong Il Choi, & Baik Lin Seong. (2002). Engineered Recombinant Enteropeptidase Catalytic Subunit: Effect of N-Terminal Modification. Archives of Biochemistry and Biophysics. 400(1). 1–6. 13 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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