Ehwang Song

1.3k total citations
20 papers, 848 citations indexed

About

Ehwang Song is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ehwang Song has authored 20 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Spectroscopy and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ehwang Song's work include Glycosylation and Glycoproteins Research (14 papers), Advanced Proteomics Techniques and Applications (13 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ehwang Song is often cited by papers focused on Glycosylation and Glycoproteins Research (14 papers), Advanced Proteomics Techniques and Applications (13 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ehwang Song collaborates with scholars based in United States, Egypt and Hong Kong. Ehwang Song's co-authors include Yehia Mechref, Rui Zhu, Haixu Tang, Anoop Mayampurath, Richard Smith, Tujin Shi, Weijun Qian, Song Nie, Karin Rodland and Tao Liu and has published in prestigious journals such as Analytical Chemistry, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

Ehwang Song

20 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehwang Song United States 16 705 432 120 88 69 20 848
Shadi Toghi Eshghi United States 14 776 1.1× 370 0.9× 141 1.2× 193 2.2× 101 1.5× 16 896
Zilu Ye Denmark 15 546 0.8× 198 0.5× 75 0.6× 113 1.3× 130 1.9× 34 675
Weiqian Cao China 14 651 0.9× 299 0.7× 79 0.7× 135 1.5× 116 1.7× 36 754
Suttipong Suttapitugsakul United States 15 541 0.8× 209 0.5× 68 0.6× 128 1.5× 73 1.1× 27 665
Crystal Kirmiz United States 7 487 0.7× 178 0.4× 72 0.6× 180 2.0× 86 1.2× 7 573
Victor T. Ling United States 13 436 0.6× 201 0.5× 109 0.9× 69 0.8× 32 0.5× 13 656
Courtney Voss Canada 15 698 1.0× 118 0.3× 101 0.8× 33 0.4× 64 0.9× 25 883
Franz‐Georg Hanisch Germany 13 672 1.0× 93 0.2× 179 1.5× 212 2.4× 209 3.0× 19 847
Chia‐Feng Tsai United States 21 1.1k 1.6× 939 2.2× 47 0.4× 23 0.3× 114 1.7× 42 1.6k
Leann M. Mikesh United States 5 421 0.6× 325 0.8× 57 0.5× 30 0.3× 146 2.1× 7 648

Countries citing papers authored by Ehwang Song

Since Specialization
Citations

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

Fields of papers citing papers by Ehwang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehwang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ehwang Song. A scholar is included among the top collaborators of Ehwang 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 Ehwang Song. Ehwang Song 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.
Zhao, Jingfu, et al.. (2021). Variability in the Glycosylation Patterns of gp120 Proteins from Different Human Immunodeficiency Virus Type 1 Isolates Expressed in Different Host Cells. Journal of Proteome Research. 20(10). 4862–4874. 5 indexed citations
2.
Zhu, Rui, Ehwang Song, Ahmed Hussein, Firas Kobeissy, & Yehia Mechref. (2017). Glycoproteins Enrichment and LC-MS/MS Glycoproteomics in Central Nervous System Applications. Methods in molecular biology. 1598. 213–227. 11 indexed citations
3.
Song, Ehwang, Yuqian Gao, Chaochao Wu, et al.. (2017). Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer. Scientific Data. 4(1). 170091–170091. 25 indexed citations
4.
Nie, Song, Tujin Shi, Thomas Fillmore, et al.. (2017). Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues. Analytical Chemistry. 89(17). 9139–9146. 18 indexed citations
5.
Shi, Tujin, Ehwang Song, Song Nie, et al.. (2016). Advances in targeted proteomics and applications to biomedical research. PROTEOMICS. 16(15-16). 2160–2182. 176 indexed citations
6.
Ressom, Habtom W., Cristina Di Poto, Alessia Ferrarini, et al.. (2016). Multi-omic approaches for characterization of hepatocellular carcinoma. PubMed. 4. 3437–3440. 4 indexed citations
7.
Mayampurath, Anoop, Rui Zhu, Lauren G. Zacharias, et al.. (2016). Automated Glycan Sequencing from Tandem Mass Spectra of N-Linked Glycopeptides. Analytical Chemistry. 88(11). 5725–5732. 31 indexed citations
8.
Zacharias, Lauren G., et al.. (2016). HILIC and ERLIC Enrichment of Glycopeptides Derived from Breast and Brain Cancer Cells. Journal of Proteome Research. 15(10). 3624–3634. 80 indexed citations
9.
Zhao, Jingfu, Ehwang Song, Rui Zhu, & Yehia Mechref. (2016). Parallel data acquisition of in‐source fragmented glycopeptides to sequence the glycosylation sites of proteins. Electrophoresis. 37(11). 1420–1430. 19 indexed citations
10.
11.
Song, Ehwang, et al.. (2015). Characterization of the Glycosylation Site of Human PSA Prompted by Missense Mutation using LC–MS/MS. Journal of Proteome Research. 14(7). 2872–2883. 21 indexed citations
12.
Tsai, Tsung‐Heng, Ehwang Song, Rui Zhu, et al.. (2015). LC‐MS/MS‐based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma. PROTEOMICS. 15(13). 2369–2381. 63 indexed citations
13.
Song, Ehwang & Yehia Mechref. (2015). Defining Glycoprotein Cancer Biomarkers By MS in Conjunction With Glycoprotein Enrichment. Biomarkers in Medicine. 9(9). 835–844. 32 indexed citations
14.
Zhang, Yanlin, Ehwang Song, Shuai Cheng Li, et al.. (2015). Identification of Glycopeptides with Multiple Hydroxylysine O-Glycosylation Sites by Tandem Mass Spectrometry. Journal of Proteome Research. 14(12). 5099–5108. 10 indexed citations
15.
Song, Ehwang, et al.. (2014). Glycoproteomics: Identifying the Glycosylation of Prostate Specific Antigen at Normal and High Isoelectric Points by LC–MS/MS. Journal of Proteome Research. 13(12). 5570–5580. 40 indexed citations
16.
Song, Ehwang, Rui Zhu, Zane T. Hammoud, & Yehia Mechref. (2014). LC–MS/MS Quantitation of Esophagus Disease Blood Serum Glycoproteins by Enrichment with Hydrazide Chemistry and Lectin Affinity Chromatography. Journal of Proteome Research. 13(11). 4808–4820. 70 indexed citations
17.
Mayampurath, Anoop, Ehwang Song, Abhinav Mathur, et al.. (2014). Label-Free Glycopeptide Quantification for Biomarker Discovery in Human Sera. Journal of Proteome Research. 13(11). 4821–4832. 33 indexed citations
18.
Mayampurath, Anoop, et al.. (2013). Computational Framework for Identification of Intact Glycopeptides in Complex Samples. Analytical Chemistry. 86(1). 453–463. 81 indexed citations
19.
Song, Ehwang & Yehia Mechref. (2013). LC–MS/MS Identification of the O-Glycosylation and Hydroxylation of Amino Acid Residues of Collagen α-1 (II) chain from Bovine Cartilage. Journal of Proteome Research. 12(8). 3599–3609. 37 indexed citations
20.
Song, Ehwang, et al.. (2012). Quantification of glycopeptides by multiple reaction monitoring liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 26(17). 1941–1954. 67 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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