Teck Keong Seow

1.2k total citations
20 papers, 940 citations indexed

About

Teck Keong Seow is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Teck Keong Seow has authored 20 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Spectroscopy and 4 papers in Materials Chemistry. Recurrent topics in Teck Keong Seow's work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers) and Enzyme Structure and Function (4 papers). Teck Keong Seow is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers) and Enzyme Structure and Function (4 papers). Teck Keong Seow collaborates with scholars based in Singapore, United States and Japan. Teck Keong Seow's co-authors include Maxey C. M. Chung, Rosa C. M. Y. Liang, Teck Yew Low, Chon Kar Leow, Keli Ou, Shao‐En Ong, Justin Lim, Siaw Ling Lo, Ee-Chee Ren and Wei‐Shou Hu and has published in prestigious journals such as FEBS Letters, Journal of Allergy and Clinical Immunology and International Journal of Cancer.

In The Last Decade

Teck Keong Seow

19 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teck Keong Seow Singapore 16 649 240 117 96 88 20 940
Stefanie Wortelkamp Germany 9 830 1.3× 328 1.4× 135 1.2× 80 0.8× 62 0.7× 11 1.2k
Olga V. Tikhonova Russia 17 473 0.7× 190 0.8× 73 0.6× 63 0.7× 76 0.9× 80 803
Daniel Vyoral Czechia 19 510 0.8× 108 0.5× 124 1.1× 108 1.1× 73 0.8× 33 1.2k
Yoshio Kodera Japan 21 824 1.3× 375 1.6× 132 1.1× 122 1.3× 160 1.8× 73 1.4k
Priska D. von Haller United States 19 1.0k 1.6× 580 2.4× 187 1.6× 61 0.6× 91 1.0× 25 1.4k
Heiner Koch Germany 9 706 1.1× 451 1.9× 73 0.6× 38 0.4× 59 0.7× 14 1.0k
Jana Čmejlová Czechia 12 648 1.0× 89 0.4× 88 0.8× 56 0.6× 53 0.6× 26 909
Brendan K. Faherty United States 7 1.1k 1.7× 591 2.5× 329 2.8× 54 0.6× 57 0.6× 7 1.4k
Damian Fermin United States 11 864 1.3× 612 2.5× 65 0.6× 35 0.4× 48 0.5× 14 1.1k
Klaus Godl Germany 20 1.0k 1.6× 192 0.8× 154 1.3× 40 0.4× 84 1.0× 23 1.5k

Countries citing papers authored by Teck Keong Seow

Since Specialization
Citations

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

Fields of papers citing papers by Teck Keong Seow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teck Keong Seow. 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 Teck Keong Seow. The network helps show where Teck Keong Seow may publish in the future.

Co-authorship network of co-authors of Teck Keong Seow

This figure shows the co-authorship network connecting the top 25 collaborators of Teck Keong Seow. A scholar is included among the top collaborators of Teck Keong Seow 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 Teck Keong Seow. Teck Keong Seow 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.
Tay, Tuan Leng, et al.. (2006). Proteomic analysis of protein profiles during early development of the zebrafish, Danio rerio. PROTEOMICS. 6(10). 3176–3188. 80 indexed citations
2.
Nissom, Peter Morin, Siaw Ling Lo, Jennifer Lo, et al.. (2006). Hcc‐2, a novel mammalian ER thioredoxin that is differentially expressed in hepatocellular carcinoma. FEBS Letters. 580(9). 2216–2226. 26 indexed citations
3.
Leow, Chon Kar, Gek San Tan, Siaw Ling Lo, et al.. (2005). Proteome analysis of human hepatocellular carcinoma tissues by two‐dimensional difference gel electrophoresis and mass spectrometry. PROTEOMICS. 5(8). 2258–2271. 86 indexed citations
4.
Lau, Ally, et al.. (2003). Large scale gene expression profiling of metabolic shift of mammalian cells in culture. Journal of Biotechnology. 107(1). 1–17. 72 indexed citations
5.
Tan, Sandra, et al.. (2002). Proteome analysis of butyrate‐treated human colon cancer cells (HT‐29). International Journal of Cancer. 98(4). 523–531. 67 indexed citations
6.
Liang, Rosa C. M. Y., et al.. (2002). Proteome database of hepatocellular carcinoma. Journal of Chromatography B. 771(1-2). 303–328. 43 indexed citations
7.
Rink, Anette, et al.. (2002). Genomic and proteomic perspectives in cell culture engineering. Journal of Biotechnology. 94(1). 73–92. 28 indexed citations
8.
9.
Ou, Keli, Teck Keong Seow, Rosa C. M. Y. Liang, Shao‐En Ong, & Maxey C. M. Chung. (2001). Proteome analysis of a human heptocellular carcinoma cell line, HCC-M: An update. Electrophoresis. 22(13). 2804–2811. 25 indexed citations
10.
Seow, Teck Keong, Rosa C. M. Y. Liang, Chon Kar Leow, & Maxey C. M. Chung. (2001). Hepatocellular carcinoma: From bedside to proteomics. PROTEOMICS. 1(10). 1249–1263. 95 indexed citations
11.
Chua, Kaw Yan, et al.. (2001). Immunochemical characterization of edible bird’s nest allergens. Journal of Allergy and Clinical Immunology. 107(6). 1082–1088. 66 indexed citations
12.
Seow, Teck Keong, et al.. (2001). Proteomic Investigation of Metabolic Shift in Mammalian Cell Culture. Biotechnology Progress. 17(6). 1137–1144. 36 indexed citations
13.
Ou, Keli, et al.. (2001). Identification of a serine protease inhibitor homologue in Bird's Nest by an integrated proteomics approach. Electrophoresis. 22(16). 3589–3595. 22 indexed citations
14.
Choong, Meng Ling, Li Kiang Tan, Siaw Ling Lo, et al.. (2001). An integrated approach in the discovery and characterization of a novel nuclear protein over‐expressed in liver and pancreatic tumors. FEBS Letters. 496(2-3). 109–116. 32 indexed citations
15.
Seow, Teck Keong, Rosa C. M. Y. Liang, Chon Kar Leow, & M.C.M. Chung. (2001). Hepatocellular carcinoma: From bedside to proteomics. PROTEOMICS. 1(10). 1249–1263. 3 indexed citations
16.
Seow, Teck Keong, Shao‐En Ong, Rosa C. M. Y. Liang, et al.. (2000). Two-dimensional electrophoresis map of the human hepatocellular carcinoma cell line, HCC-M, and identification of the separated proteins by mass spectrometry. Electrophoresis. 21(9). 1787–1813. 120 indexed citations
17.
Seow, Teck Keong, et al.. (2000). Purification and some characteristics of a monomeric alanine racemase from an extreme thermophile, Thermus thermophilus. Journal of Bioscience and Bioengineering. 90(3). 344–346. 18 indexed citations
18.
Seow, Teck Keong, et al.. (2000). Purification and Some Characteristics of a Monomeric Alanine Racemase from an Extreme Thermophile, Thermus thermophilus.. Journal of Bioscience and Bioengineering. 90(3). 344–346.
19.
Seow, Teck Keong, Shao‐En Ong, Rosa C. M. Y. Liang, et al.. (2000). Two-dimensional electrophoresis map of the human hepatocellular carcinoma cell line, HCC-M, and identification of the separated proteins by mass spectrometry. Electrophoresis. 21(9). 1787–1813. 4 indexed citations
20.
Seow, Teck Keong, Kenji Inagaki, Takashi Tamura, Kenji Soda, & Hidehiko Tanaka. (1998). Alanine Racemase from an Acidophile,Acidiphilium organovorum: Purification and Characterization. Bioscience Biotechnology and Biochemistry. 62(2). 242–247. 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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