Tony P. Tang

4.0k total citations · 1 hit paper
17 papers, 2.1k citations indexed

About

Tony P. Tang is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Tony P. Tang has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 7 papers in Molecular Biology and 5 papers in Inorganic Chemistry. Recurrent topics in Tony P. Tang's work include Asymmetric Hydrogenation and Catalysis (5 papers), Chemical Synthesis and Analysis (4 papers) and Asymmetric Synthesis and Catalysis (4 papers). Tony P. Tang is often cited by papers focused on Asymmetric Hydrogenation and Catalysis (5 papers), Chemical Synthesis and Analysis (4 papers) and Asymmetric Synthesis and Catalysis (4 papers). Tony P. Tang collaborates with scholars based in United States, Australia and Japan. Tony P. Tang's co-authors include Jonathan A. Ellman, Timothy D. Owens, Takuya Kochi, Guangcheng Liu, Derek A. Cogan, Yijun Zhong, Zongping Shao, Steven K. Volkman, Jiayi Tang and Xiaomin Xu and has published in prestigious journals such as Journal of the American Chemical Society, Accounts of Chemical Research and Journal of Medicinal Chemistry.

In The Last Decade

Tony P. Tang

16 papers receiving 2.1k citations

Hit Papers

N-tert-Butanesulfinyl Imines:  Versatile Intermediates fo... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony P. Tang United States 12 1.7k 627 483 166 130 17 2.1k
Kian L. Tan United States 27 1.9k 1.1× 530 0.8× 676 1.4× 54 0.3× 109 0.8× 50 2.4k
Z. Jane Wang United States 17 1.9k 1.1× 1.1k 1.8× 776 1.6× 67 0.4× 108 0.8× 23 2.7k
Ponneri C. Ravikumar India 20 2.1k 1.2× 463 0.7× 464 1.0× 134 0.8× 68 0.5× 74 2.5k
Davide Audisio France 32 2.0k 1.2× 785 1.3× 373 0.8× 373 2.2× 134 1.0× 93 2.7k
Manas K. Ghorai India 33 2.2k 1.3× 375 0.6× 249 0.5× 77 0.5× 82 0.6× 96 2.5k
Jeremy T. Starr United States 19 1.9k 1.1× 297 0.5× 216 0.4× 124 0.7× 324 2.5× 27 2.3k
Jonathan T. Reeves United States 33 3.1k 1.8× 788 1.3× 872 1.8× 283 1.7× 46 0.4× 84 3.5k
Yusheng Wu China 36 3.2k 1.8× 471 0.8× 494 1.0× 662 4.0× 46 0.4× 149 3.6k
Peter Stanetty Austria 19 1.3k 0.7× 545 0.9× 145 0.3× 57 0.3× 50 0.4× 117 1.8k
Scott E. Allen United States 11 1.5k 0.9× 278 0.4× 378 0.8× 39 0.2× 76 0.6× 15 2.0k

Countries citing papers authored by Tony P. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tony P. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony P. Tang. 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 Tony P. Tang. The network helps show where Tony P. Tang may publish in the future.

Co-authorship network of co-authors of Tony P. Tang

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

All Works

17 of 17 papers shown
1.
Lin, Zezhou, Yijun Zhong, Hanwen Liu, et al.. (2025). Engineering of entropy-driven surface doping towards stabilized high-voltage NCM cathodes: Li (Ni, Co, Mn, Ce, La, Zr, Al) O. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 5(4). 100378–100378.
2.
3.
Tang, Jiayi, Xiaomin Xu, Tony P. Tang, Yijun Zhong, & Zongping Shao. (2022). Perovskite‐Based Electrocatalysts for Cost‐Effective Ultrahigh‐Current‐Density Water Splitting in Anion Exchange Membrane Electrolyzer Cell. Small Methods. 6(11). e2201099–e2201099. 130 indexed citations
4.
Marx, Matthew A., Brian R. Baer, Joshua A. Ballard, et al.. (2020). Abstract B30: Structure-based drug discovery of MRTX1257, a selective, covalent KRAS G12C inhibitor with oral activity in animal models of cancer. Molecular Cancer Research. 18(5_Supplement). B30–B30. 5 indexed citations
5.
Blanco, María‐Jesús, Albert Khilevich, Guillermo S. Cortez, et al.. (2016). Discovery of dual positive allosteric modulators (PAMs) of the metabotropic glutamate 2 receptor and CysLT1 antagonists for treating migraine headache. Bioorganic & Medicinal Chemistry Letters. 27(2). 323–328. 5 indexed citations
6.
Li, Li, Tony P. Tang, & Wu Chou. (2015). Automated Creation of Navigable REST Services Based on REST Chart. Journal of Advanced Management Science. 385–392. 1 indexed citations
7.
Hasui, Tomoaki, Norio Ohyabu, Hideki Matsui, et al.. (2013). Design, synthesis, and structure–activity relationships of dihydrofuran-2-one and dihydropyrrol-2-one derivatives as novel benzoxazin-3-one-based mineralocorticoid receptor antagonists. Bioorganic & Medicinal Chemistry. 21(19). 5983–5994. 23 indexed citations
8.
Hasui, Tomoaki, Nobuyuki Matsunaga, Norio Ohyabu, et al.. (2011). Identification of Benzoxazin-3-one Derivatives as Novel, Potent, and Selective Nonsteroidal Mineralocorticoid Receptor Antagonists. Journal of Medicinal Chemistry. 54(24). 8616–8631. 90 indexed citations
9.
Kochi, Takuya, Tony P. Tang, & Jonathan A. Ellman. (2003). Development and Application of a New General Method for the Asymmetric Synthesis of s yn - and a nti -1,3-Amino Alcohols. Journal of the American Chemical Society. 125(37). 11276–11282. 157 indexed citations
10.
Tang, Tony P. & Jonathan A. Ellman. (2002). Asymmetric Synthesis of β-Amino Acid Derivatives Incorporating a Broad Range of Substitution Patterns by Enolate Additions totert-Butanesulfinyl Imines. The Journal of Organic Chemistry. 67(22). 7819–7832. 153 indexed citations
11.
Ellman, Jonathan A., Timothy D. Owens, & Tony P. Tang. (2002). N-tert-Butanesulfinyl Imines:  Versatile Intermediates for the Asymmetric Synthesis of Amines. Accounts of Chemical Research. 35(11). 984–995. 728 indexed citations breakdown →
12.
Kochi, Takuya, Tony P. Tang, & Jonathan A. Ellman. (2002). Asymmetric Synthesis of syn- and anti-1,3-Amino Alcohols. Journal of the American Chemical Society. 124(23). 6518–6519. 117 indexed citations
13.
Wilkie, Andrew O.M., Michael Oldridge, Tony P. Tang, & Robert E. Maxson. (2001). Craniosynostosis and Related Limb Anomalies. Novartis Foundation symposium. 232. 122–143. 34 indexed citations
14.
Tang, Tony P., Steven K. Volkman, & Jonathan A. Ellman. (2001). Asymmetric Synthesis of Protected 1,2-Amino Alcohols Using tert-Butanesulfinyl Aldimines and Ketimines. The Journal of Organic Chemistry. 66(26). 8772–8778. 82 indexed citations
15.
16.
Tang, Tony P. & Jonathan A. Ellman. (1998). The tert-Butanesulfinyl Group:  An Ideal Chiral Directing Group and Boc-Surrogate for the Asymmetric Synthesis and Applications of β-Amino Acids. The Journal of Organic Chemistry. 64(1). 12–13. 151 indexed citations
17.
Tang, Tony P., et al.. (1996). COMPOSICION QUIMICA Y DIGESTIBILIDAD DE INSUMOS ALIMENTICIOS DE LA ZONA DE UCAYALI. Folia Amazónica. 8(2). 13–27. 5 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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