Trace S. Tsuruda

484 total citations
8 papers, 403 citations indexed

About

Trace S. Tsuruda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Trace S. Tsuruda has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Trace S. Tsuruda's work include Liver physiology and pathology (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Hormonal Regulation and Hypertension (2 papers). Trace S. Tsuruda is often cited by papers focused on Liver physiology and pathology (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Hormonal Regulation and Hypertension (2 papers). Trace S. Tsuruda collaborates with scholars based in United States and Sweden. Trace S. Tsuruda's co-authors include Teresa L. Burgess, Qing Chen, Jilin Sun, Susanne Meyer, Richard Kendall, Gary Elliott, Jan Sun, Angela Coxon, Robert Radinsky and Shu-Yin Ho and has published in prestigious journals such as PLoS ONE, Biochemistry and Cancer Research.

In The Last Decade

Trace S. Tsuruda

8 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trace S. Tsuruda United States 7 199 176 104 61 51 8 403
Lany Ruslim United States 6 308 1.5× 240 1.4× 155 1.5× 83 1.4× 44 0.9× 6 514
Gaël S. Roth France 14 205 1.0× 128 0.7× 157 1.5× 46 0.8× 80 1.6× 46 524
Marie-José Blivet-Van Eggelpoël France 7 473 2.4× 107 0.6× 171 1.6× 77 1.3× 48 0.9× 7 653
Qifei Zou China 11 240 1.2× 130 0.7× 136 1.3× 37 0.6× 91 1.8× 18 527
Hamza Chettouh France 6 233 1.2× 110 0.6× 82 0.8× 58 1.0× 74 1.5× 7 421
Matthias Van Haele Belgium 12 241 1.2× 115 0.7× 106 1.0× 27 0.4× 81 1.6× 15 460
Scott R. Silva United States 11 303 1.5× 67 0.4× 184 1.8× 61 1.0× 126 2.5× 28 615
Wenbing Sun China 14 226 1.1× 240 1.4× 121 1.2× 33 0.5× 69 1.4× 25 602
Takaaki Imamura Japan 12 351 1.8× 105 0.6× 181 1.7× 75 1.2× 32 0.6× 24 647

Countries citing papers authored by Trace S. Tsuruda

Since Specialization
Citations

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

Fields of papers citing papers by Trace S. Tsuruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trace S. Tsuruda

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

All Works

8 of 8 papers shown
1.
Rulifson, Ingrid C., Ping Cao, David J. Kopecky, et al.. (2016). Identification of Human Islet Amyloid Polypeptide as a BACE2 Substrate. PLoS ONE. 11(2). e0147254–e0147254. 25 indexed citations
2.
Moody, Gordon, Brian Belmontes, Wei Wang, et al.. (2016). Antibody‐mediated neutralization of autocrine Gas6 inhibits the growth of pancreatic ductal adenocarcinoma tumors in vivo. International Journal of Cancer. 139(6). 1340–1349. 19 indexed citations
3.
Narhi, Linda O., Jie Wen, Mariana N. Dimitrova, et al.. (2012). Effect of pH, Temperature, and Salt on the Stability of Escherichia coli- and Chinese Hamster Ovary Cell-Derived IgG1 Fc. Biochemistry. 51(50). 10056–10065. 23 indexed citations
4.
Burgess, Teresa L., Jan Sun, Susanne Meyer, et al.. (2010). Biochemical Characterization of AMG 102: A Neutralizing, Fully Human Monoclonal Antibody to Human and Nonhuman Primate Hepatocyte Growth Factor. Molecular Cancer Therapeutics. 9(2). 400–409. 68 indexed citations
5.
Liu, Yichin, et al.. (2008). High-throughput assays for sirtuin enzymes: A microfluidic mobility shift assay and a bioluminescence assay. Analytical Biochemistry. 378(1). 53–59. 44 indexed citations
6.
Kim, Ki Won, Zhulun Wang, Trace S. Tsuruda, et al.. (2007). The selectivity of tyrosine 280 of human 11β‐hydroxysteroid dehydrogenase type 1 in inhibitor binding. FEBS Letters. 581(5). 995–999. 4 indexed citations
7.
Kim, Ki Won, Zhulun Wang, Trace S. Tsuruda, et al.. (2006). The role of tyrosine 177 in human 11β-hydroxysteroid dehydrogenase type 1 in substrate and inhibitor binding: an unlikely hydrogen bond donor for the substrate. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(4). 824–830. 15 indexed citations
8.
Burgess, Teresa L., Angela Coxon, Susanne Meyer, et al.. (2006). Fully Human Monoclonal Antibodies to Hepatocyte Growth Factor with Therapeutic Potential against Hepatocyte Growth Factor/c-Met–Dependent Human Tumors. Cancer Research. 66(3). 1721–1729. 205 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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