Suva Paria

1.6k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Suva Paria is a scholar working on Organic Chemistry, Inorganic Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Suva Paria has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 2 papers in Inorganic Chemistry and 1 paper in Renewable Energy, Sustainability and the Environment. Recurrent topics in Suva Paria's work include Radical Photochemical Reactions (9 papers), Catalytic C–H Functionalization Methods (8 papers) and Sulfur-Based Synthesis Techniques (7 papers). Suva Paria is often cited by papers focused on Radical Photochemical Reactions (9 papers), Catalytic C–H Functionalization Methods (8 papers) and Sulfur-Based Synthesis Techniques (7 papers). Suva Paria collaborates with scholars based in Germany, Italy and Japan. Suva Paria's co-authors include Oliver Reiser, John J. Murphy, Paolo Melchiorre, Maurizio Fagnoni, David Bastida, Taisuke Matsuno, Hiroyuki Isobe, Santosh K. Pagire, Keiji Maruoka and Marcella Bonchio and has published in prestigious journals such as Nature, ACS Catalysis and The Journal of Organic Chemistry.

In The Last Decade

Suva Paria

11 papers receiving 1.4k citations

Hit Papers

Asymmetric catalytic formation of quaternary carbons by i... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suva Paria Germany 11 1.3k 197 150 140 105 11 1.4k
Asik Hossain Germany 10 1.1k 0.9× 185 0.9× 104 0.7× 140 1.0× 143 1.4× 12 1.2k
Eito Yoshioka Japan 19 858 0.7× 169 0.9× 61 0.4× 100 0.7× 73 0.7× 39 981
Sumon Sarkar United States 9 1.2k 0.9× 120 0.6× 145 1.0× 130 0.9× 102 1.0× 12 1.3k
Alberto Vega‐Peñaloza Italy 17 1000 0.8× 131 0.7× 99 0.7× 84 0.6× 181 1.7× 26 1.2k
Marissa N. Lavagnino United States 6 1.3k 1.0× 204 1.0× 169 1.1× 160 1.1× 151 1.4× 7 1.5k
José María Muñoz‐Molina Spain 16 809 0.6× 72 0.4× 160 1.1× 88 0.6× 101 1.0× 23 905
Wengang Xu China 20 1.0k 0.8× 106 0.5× 338 2.3× 314 2.2× 94 0.9× 49 1.2k
Adrián Tlahuext-Aca Germany 18 2.4k 1.9× 169 0.9× 319 2.1× 354 2.5× 89 0.8× 24 2.5k
Kelvin Pak Shing Cheung United States 11 1.4k 1.1× 118 0.6× 209 1.4× 222 1.6× 103 1.0× 15 1.5k
Gaëtan Le Duc France 13 1.1k 0.9× 60 0.3× 212 1.4× 66 0.5× 102 1.0× 16 1.3k

Countries citing papers authored by Suva Paria

Since Specialization
Citations

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

Fields of papers citing papers by Suva Paria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suva Paria

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

All Works

11 of 11 papers shown
1.
Paria, Suva, Michela Marcon, Andrea Mazzanti, et al.. (2020). Light-Triggered Catalytic Asymmetric Allylic Benzylation with Photogenerated C-Nucleophiles. The Journal of Organic Chemistry. 85(6). 4463–4474. 22 indexed citations
2.
Vega‐Peñaloza, Alberto, Suva Paria, Marcella Bonchio, Luca Dell’Amico, & Xavier Companyó. (2019). Profiling the Privileges of Pyrrolidine-Based Catalysts in Asymmetric Synthesis: From Polar to Light-Driven Radical Chemistry. ACS Catalysis. 9(7). 6058–6072. 69 indexed citations
3.
Paria, Suva, Hyo‐Jun Lee, & Keiji Maruoka. (2019). Enantioselective Alkynylation of Isatin Derivatives Using a Chiral Phase-Transfer/Transition-Metal Hybrid Catalyst System. ACS Catalysis. 9(3). 2395–2399. 38 indexed citations
4.
5.
Murphy, John J., David Bastida, Suva Paria, Maurizio Fagnoni, & Paolo Melchiorre. (2016). Asymmetric catalytic formation of quaternary carbons by iminium ion trapping of radicals. Nature. 532(7598). 218–222. 360 indexed citations breakdown →
6.
Pagire, Santosh K., Suva Paria, & Oliver Reiser. (2016). Synthesis of β-Hydroxysulfones from Sulfonyl Chlorides and Alkenes Utilizing Visible Light Photocatalytic Sequences. Organic Letters. 18(9). 2106–2109. 166 indexed citations
7.
Paria, Suva & Oliver Reiser. (2014). Copper in Photocatalysis. ChemCatChem. 6(9). 2477–2483. 255 indexed citations
8.
Paria, Suva & Oliver Reiser. (2014). Visible Light Photoredox Catalyzed Cascade Cyclizations of α‐Bromochalcones or α‐Bromocinnamates with Heteroarenes. Advanced Synthesis & Catalysis. 356(2-3). 557–562. 59 indexed citations
9.
Paria, Suva, et al.. (2014). Visible Light‐Mediated Coupling of α‐Bromochalcones with Alkenes. Advanced Synthesis & Catalysis. 356(13). 2853–2858. 33 indexed citations
11.
Paria, Suva, et al.. (2012). [Cu(dap)2Cl] As an Efficient Visible‐Light‐Driven Photoredox Catalyst in Carbon–Carbon Bond‐Forming Reactions. Chemistry - A European Journal. 18(24). 7336–7340. 281 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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