T S Su

543 total citations
10 papers, 477 citations indexed

About

T S Su is a scholar working on Clinical Biochemistry, Molecular Biology and Biotechnology. According to data from OpenAlex, T S Su has authored 10 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 5 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in T S Su's work include Metabolism and Genetic Disorders (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Cancer Research and Treatments (4 papers). T S Su is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Cancer Research and Treatments (4 papers). T S Su collaborates with scholars based in United States, China and Taiwan. T S Su's co-authors include Arthur L. Beaudet, W E O'Brien, H G Bock, Robert S. Wildin, S J Lo, Yar‐Khing Yauk, S H Han, Chung-Ming Chang, T. Mohandas and Robert L. Nussbaum and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

T S Su

10 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T S Su United States 9 262 130 114 103 98 10 477
Mitsuaki Mori Japan 8 232 0.9× 41 0.3× 52 0.5× 45 0.4× 47 0.5× 11 543
Mark A. McNiven United States 8 355 1.4× 108 0.8× 52 0.5× 20 0.2× 24 0.2× 9 506
Sohail A. Qureshi Pakistan 14 525 2.0× 45 0.3× 9 0.1× 218 2.1× 9 0.1× 25 668
Ariel Basulto Perdomo Italy 8 188 0.7× 166 1.3× 12 0.1× 37 0.4× 9 0.1× 8 333
Marina Bengtström Finland 7 217 0.8× 63 0.5× 11 0.1× 98 1.0× 5 0.1× 9 367
Maria Inácia Estevão-Costa Brazil 15 307 1.2× 88 0.7× 5 0.0× 415 4.0× 14 0.1× 24 694
Shau‐Feng Chang Germany 11 206 0.8× 334 2.6× 2 0.0× 58 0.6× 17 0.2× 17 650
Jane C. Moores United States 9 450 1.7× 39 0.3× 10 0.1× 287 2.8× 5 0.1× 12 616
G. Fourel France 10 191 0.7× 220 1.7× 3 0.0× 90 0.9× 4 0.0× 11 422
Stanfield Rogers United States 10 170 0.6× 35 0.3× 13 0.1× 135 1.3× 16 0.2× 18 343

Countries citing papers authored by T S Su

Since Specialization
Citations

This map shows the geographic impact of T S Su'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 T S Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T S Su more than expected).

Fields of papers citing papers by T S Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T S Su. 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 T S Su. The network helps show where T S Su may publish in the future.

Co-authorship network of co-authors of T S Su

This figure shows the co-authorship network connecting the top 25 collaborators of T S Su. A scholar is included among the top collaborators of T S Su 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 T S Su. T S Su 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.
Zhou, Falin, Liming Zheng, Qibin Yang, et al.. (2011). Molecular analysis of a ras-like nuclear (Ran) gene from Penaeus monodon and its expression at the different ovarian stages of development. Molecular Biology Reports. 39(4). 3821–3827. 4 indexed citations
2.
Zhou, Falin, Shigui Jiang, Jianhua Huang, et al.. (2010). Molecular analysis of the QM gene from Penaeus monodon and its expression on the different ovarian stages of development. Molecular Biology Reports. 38(3). 1921–1927. 10 indexed citations
3.
4.
Su, T S, et al.. (1990). Analysis of a splice acceptor site mutation which produces multiple splicing abnormalities in the human argininosuccinate synthetase locus.. Journal of Biological Chemistry. 265(32). 19716–19720. 28 indexed citations
5.
Su, T S, et al.. (1989). Hepatitis B virus transcript produced by RNA splicing. Journal of Virology. 63(9). 4011–4018. 103 indexed citations
6.
Su, T S, Robert L. Nussbaum, Susan Airhart, et al.. (1984). Human chromosomal assignments for 14 argininosuccinate synthetase pseudogenes: cloned DNAs as reagents for cytogenetic analysis.. PubMed Central. 36(5). 954–64. 59 indexed citations
7.
Daiger, Stephen P., et al.. (1984). Multiple, independent restriction site polymorphisms in human DNA detected with a cDNA probe to argininosuccinate synthetase (AS).. PubMed. 36(4). 736–49. 29 indexed citations
8.
Wildin, Robert S., et al.. (1982). Sequences on the human Y chromosome homologous to the autosomal gene for argininosuccinate synthetase. Nature. 298(5875). 682–684. 56 indexed citations
9.
Su, T S, H G Bock, Arthur L. Beaudet, & W E O'Brien. (1982). Molecular analysis of argininosuccinate synthetase deficiency in human fibroblasts.. Journal of Clinical Investigation. 70(6). 1334–1339. 37 indexed citations
10.
Su, T S, H G Bock, W E O'Brien, & Arthur L. Beaudet. (1981). Cloning of cDNA for argininosuccinate synthetase mRNA and study of enzyme overproduction in a human cell line.. Journal of Biological Chemistry. 256(22). 11826–11831. 115 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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