Jason Tao

427 total citations
12 papers, 347 citations indexed

About

Jason Tao is a scholar working on Organic Chemistry, Pharmaceutical Science and Inorganic Chemistry. According to data from OpenAlex, Jason Tao has authored 12 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 3 papers in Pharmaceutical Science and 3 papers in Inorganic Chemistry. Recurrent topics in Jason Tao's work include Oxidative Organic Chemistry Reactions (5 papers), Catalytic C–H Functionalization Methods (3 papers) and Fluorine in Organic Chemistry (3 papers). Jason Tao is often cited by papers focused on Oxidative Organic Chemistry Reactions (5 papers), Catalytic C–H Functionalization Methods (3 papers) and Fluorine in Organic Chemistry (3 papers). Jason Tao collaborates with scholars based in Canada, United States and China. Jason Tao's co-authors include Graham K. Murphy, Richard T. Tran, Robert J. Le Roy, Hui Li, Alireza Shayesteh, P. F. Bernath, Robert D. E. Henderson, W. Scott Hopkins, Leanne Jade G. Chan and Andrei Loas and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and The Journal of Organic Chemistry.

In The Last Decade

Jason Tao

12 papers receiving 346 citations

Peers

Jason Tao

OC

AMPO

PS

IC

SPECT

János Daru Hungary

А. В. Игнатенко Russia

Alexander Pashenko Ukraine

Robert G. Iafe United States

Reilly E. Sonstrom United States

Steven J. Cianciosi United States

Jack R. Waas United States

Dagmar Preugschat Germany

J. C. POMMELET France

Günther Lahm Germany

János Daru Hungary

Jason Tao

253 ×1.1

OC

74 ×0.8

AMPO

61 ×1.0

PS

59 ×1.4

IC

23 ×0.7

SPECT

Citations per year, relative to Jason Tao Jason Tao (= 1×) peers János Daru

Countries citing papers authored by Jason Tao

Since Specialization

Citations

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

Fields of papers citing papers by Jason Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Tao. 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 Jason Tao. The network helps show where Jason Tao may publish in the future.

Co-authorship network of co-authors of Jason Tao

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

All Works

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12 of 12 papers shown

1.

Tao, Jason, Michael Gribble, Veronika Kottisch, et al.. (2024). Site-Specific Antibody Prodrugs via S -Arylation: a Bioconjugation Approach Toward Masked Tyrosine Analogues. Journal of the American Chemical Society. 146(29). 20080–20085. 6 indexed citations

2.

Rössler, Simon L., John Wang, Jason Tao, et al.. (2023). Electrophile Scanning Reveals Reactivity Hotspots for the Design of Covalent Peptide Binders. ACS Chemical Biology. 19(1). 101–109. 5 indexed citations

3.

Zhang, Peiyuan, Jason Tao, John Wang, et al.. (2023). Discovery of reactive peptide inhibitors of human papillomavirus oncoprotein E6. Chemical Science. 14(44). 12484–12497. 11 indexed citations

4.

Tao, Jason & Graham K. Murphy. (2019). A Practical, Large-Scale Synthesis of p-(Difluoroiodo)toluene (p-TolIF2). Synthesis. 51(16). 3055–3059. 11 indexed citations

5.

Tao, Jason, et al.. (2017). Metal-free intermolecular cyclopropanation between alkenes and iodonium ylides mediated by PhI(OAc)₂·Bu₄NI. Chemical Communications. 53(64). 9004–9007. 41 indexed citations

6.

Tao, Jason, et al.. (2017). Iodide-Mediated Synthesis of Spirooxindolo Dihydrofurans from Iodonium Ylides and 3-Alkylidene-2-oxindoles. The Journal of Organic Chemistry. 82(22). 11903–11908. 21 indexed citations

7.

Tran, Richard T., et al.. (2016). Borosilicate Activation of (Difluoroiodo)toluene in the gem‐Difluorination of Phenyldiazoacetate Derivatives. European Journal of Organic Chemistry. 2016(27). 4603–4606. 27 indexed citations

8.

Murphy, Graham K., et al.. (2015). Geminal Dichlorination of Phenyliodonium Ylides of β-Dicarbonyl Compounds through Double Ligand Transfer from (Dichloroiodo)benzene. Synthesis. 48(5). 772–782. 14 indexed citations

9.

Henderson, Robert D. E., et al.. (2013). Accurate Analytic Potential and Born–Oppenheimer Breakdown Functions for MgH and MgD from a Direct-Potential-Fit Data Analysis. The Journal of Physical Chemistry A. 117(50). 13373–13387. 32 indexed citations

10.

Tao, Jason, Richard T. Tran, & Graham K. Murphy. (2013). Dihaloiodoarenes: α,α-Dihalogenation of Phenylacetate Derivatives. Journal of the American Chemical Society. 135(44). 16312–16315. 106 indexed citations

11.

Tao, Jason, et al.. (2013). Wittig Reagents as Metallocarbene Precursors: In Situ Generated Monocarbonyl Iodonium Ylides. European Journal of Organic Chemistry. 2013(29). 6540–6544. 13 indexed citations

12.

Roy, Robert J. Le, et al.. (2010). Long-range damping functions improve the short-range behaviour of ‘MLR’ potential energy functions. Molecular Physics. 109(3). 435–446. 60 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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