Jay S. Tung

4.1k total citations
18 papers, 1.3k citations indexed

About

Jay S. Tung is a scholar working on Molecular Biology, Computational Theory and Mathematics and Hematology. According to data from OpenAlex, Jay S. Tung has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Hematology. Recurrent topics in Jay S. Tung's work include Cell death mechanisms and regulation (6 papers), Computational Drug Discovery Methods (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Jay S. Tung is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Computational Drug Discovery Methods (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Jay S. Tung collaborates with scholars based in United States and United Kingdom. Jay S. Tung's co-authors include Timothy Kottke, L. Miguel Martins, William C. Earnshaw, Scott H. Kaufmann, Guriqbal S. Basi, Christine M. Eischen, Paul J. Leibson, Sukanto Sinha, Peter W. Mesner and Phyllis A. Svingen and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Medicinal Chemistry.

In The Last Decade

Jay S. Tung

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay S. Tung United States 16 981 328 170 153 129 18 1.3k
Giovanni Di Maira Italy 19 1.0k 1.0× 310 0.9× 159 0.9× 114 0.7× 87 0.7× 41 1.6k
Julie A. Zorn United States 16 947 1.0× 265 0.8× 144 0.8× 226 1.5× 78 0.6× 21 1.5k
Edward H. Walker United Kingdom 9 1.8k 1.8× 300 0.9× 174 1.0× 223 1.5× 78 0.6× 11 2.2k
Alain De Pover Switzerland 16 1.2k 1.3× 341 1.0× 86 0.5× 139 0.9× 91 0.7× 25 1.6k
Ting Xie China 20 1.4k 1.4× 331 1.0× 122 0.7× 163 1.1× 110 0.9× 43 1.8k
Roland Feifel Switzerland 21 769 0.8× 164 0.5× 155 0.9× 338 2.2× 75 0.6× 36 1.3k
Yongmun Choi South Korea 15 1.3k 1.3× 226 0.7× 118 0.7× 133 0.9× 133 1.0× 34 1.7k
Valérie Hindie France 10 877 0.9× 300 0.9× 120 0.7× 76 0.5× 88 0.7× 12 1.3k
Haile Tecle United States 14 1.1k 1.2× 403 1.2× 90 0.5× 423 2.8× 40 0.3× 27 1.7k
Andrew S. Tasker United States 20 681 0.7× 230 0.7× 132 0.8× 482 3.2× 185 1.4× 45 1.4k

Countries citing papers authored by Jay S. Tung

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay S. Tung

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

All Works

18 of 18 papers shown
1.
Lariosa‐Willingham, Karen, Elen Rosler, Jay S. Tung, et al.. (2016). A high throughput drug screening assay to identify compounds that promote oligodendrocyte differentiation using acutely dissociated and purified oligodendrocyte precursor cells. BMC Research Notes. 9(1). 419–419. 50 indexed citations
2.
Lariosa‐Willingham, Karen, Elen Rosler, Jay S. Tung, et al.. (2016). Development of a central nervous system axonal myelination assay for high throughput screening. BMC Neuroscience. 17(1). 16–16. 23 indexed citations
3.
Rosler, Elen, Karen Lariosa‐Willingham, Jay S. Tung, et al.. (2016). Development of a high throughput drug screening assay to identify compounds that protect oligodendrocyte viability and differentiation under inflammatory conditions. BMC Research Notes. 9(1). 444–444. 10 indexed citations
4.
Garofalo, Albert W., Jon E. Hawkinson, D S Hom, et al.. (2007). Preparation and Optimization of a Series of 3-Carboxamido-5-phenacylaminopyrazole Bradykinin B1 Receptor Antagonists. Journal of Medicinal Chemistry. 50(21). 5161–5167. 30 indexed citations
5.
Hom, Roy K., Jay S. Tung, Donald E. Walker, et al.. (2003). Design and Synthesis of Hydroxyethylene-Based Peptidomimetic Inhibitors of Human β-Secretase. Journal of Medicinal Chemistry. 47(1). 158–164. 61 indexed citations
6.
Hom, Roy K., Jay S. Tung, David L. Davis, et al.. (2003). Design and Synthesis of Statine-Based Cell-Permeable Peptidomimetic Inhibitors of Human β-Secretase. Journal of Medicinal Chemistry. 46(10). 1799–1802. 62 indexed citations
7.
Garofalo, Albert W., James E. Audia, Harry F. Dovey, et al.. (2002). A series of C-Terminal amino alcohol dipeptide Aβ inhibitors. Bioorganic & Medicinal Chemistry Letters. 12(21). 3051–3053. 17 indexed citations
8.
Tung, Jay S., David L. Davis, John P. Anderson, et al.. (2001). Design of Substrate-Based Inhibitors of Human β-Secretase. Journal of Medicinal Chemistry. 45(2). 259–262. 71 indexed citations
9.
Mesner, Peter W., Keith C. Bible, L. Miguel Martins, et al.. (1999). Characterization of Caspase Processing and Activation in HL-60 Cell Cytosol Under Cell-free Conditions. Journal of Biological Chemistry. 274(32). 22635–22645. 62 indexed citations
10.
Edelstein, Rebecca L., et al.. (1998). Stereochemical Analysis of the Reaction Catalyzed by Yeast Protein Farnesyltransferase. The Journal of Organic Chemistry. 63(16). 5298–5299. 22 indexed citations
11.
Martins, L. Miguel, Timothy Kottke, Peter W. Mesner, et al.. (1997). Activation of Multiple Interleukin-1β Converting Enzyme Homologues in Cytosol and Nuclei of HL-60 Cells during Etoposide-induced Apoptosis. Journal of Biological Chemistry. 272(11). 7421–7430. 198 indexed citations
12.
Eischen, Christine M., Timothy Kottke, L. Miguel Martins, et al.. (1997). Comparison of Apoptosis in Wild-Type and Fas-Resistant Cells: Chemotherapy-Induced Apoptosis Is Not Dependent on Fas/Fas Ligand Interactions. Blood. 90(3). 935–943. 175 indexed citations
13.
Martins, L. Miguel, Peter W. Mesner, Timothy Kottke, et al.. (1997). Comparison of Caspase Activation and Subcellular Localization in HL-60 and K562 Cells Undergoing Etoposide-Induced Apoptosis. Blood. 90(11). 4283–4296. 105 indexed citations
14.
Eischen, Christine M., Timothy Kottke, L. Miguel Martins, et al.. (1997). Comparison of Apoptosis in Wild-Type and Fas-Resistant Cells: Chemotherapy-Induced Apoptosis Is Not Dependent on Fas/Fas Ligand Interactions. Blood. 90(3). 935–943. 223 indexed citations
15.
Martins, L. Miguel, Peter W. Mesner, Timothy Kottke, et al.. (1997). Comparison of Caspase Activation and Subcellular Localization in HL-60 and K562 Cells Undergoing Etoposide-Induced Apoptosis. Blood. 90(11). 4283–4296. 126 indexed citations
16.
Ziegler, Frederick E. & Jay S. Tung. (1991). Synthetic studies on the macrodiolide elaiophylin. The Journal of Organic Chemistry. 56(23). 6530–6537. 27 indexed citations
17.
Tung, Jay S., et al.. (1985). ChemInform Abstract: A HIGH‐YIELD MODIFICATION OF THE PSCHORR PHENANTHRENE SYNTHESIS. Chemischer Informationsdienst. 16(28). 5 indexed citations
18.
Duclos, R., Jay S. Tung, & Henry Rapoport. (1984). A high-yield modification of the Pschorr phenanthrene synthesis. The Journal of Organic Chemistry. 49(26). 5243–5246. 38 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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