Phillip T. Lowe

24 total papers · 446 total citations
19 papers, 349 citations indexed

About

Phillip T. Lowe is a scholar working on Molecular Biology, Pharmaceutical Science and Organic Chemistry. According to data from OpenAlex, Phillip T. Lowe has authored 19 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pharmaceutical Science and 7 papers in Organic Chemistry. Recurrent topics in Phillip T. Lowe's work include Fluorine in Organic Chemistry (8 papers), Click Chemistry and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Phillip T. Lowe is often cited by papers focused on Fluorine in Organic Chemistry (8 papers), Click Chemistry and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Phillip T. Lowe collaborates with scholars based in United Kingdom, Denmark and United States. Phillip T. Lowe's co-authors include David O’Hagan, Pablo I. Nikel, Patricia Calero, Ming‐Cheng Wu, Helen A. Vincent, Christopher Robinson, Charlotte H. Gotfredsen, Jason Micklefield, Daniel C. Volke and Mark S. Dunstan and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Nature Communications.

In The Last Decade

Phillip T. Lowe

17 papers receiving 348 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Phillip T. Lowe 201 103 82 38 29 19 349
Alain Zahn 235 1.2× 28 0.3× 94 1.1× 31 0.8× 16 0.6× 9 365
Haocheng Qianzhu 203 1.0× 20 0.2× 70 0.9× 9 0.2× 12 0.4× 18 296
Ajit Roy 153 0.8× 25 0.2× 83 1.0× 17 0.4× 7 0.2× 28 376
G. Fridkin 180 0.9× 62 0.6× 157 1.9× 20 0.5× 9 0.3× 28 388
Miguel A. Ramirez 212 1.1× 62 0.6× 42 0.5× 10 0.3× 5 0.2× 21 391
Minoru Ishizawa 199 1.0× 11 0.1× 39 0.5× 41 1.1× 20 0.7× 24 401
Jon B. Patteson 177 0.9× 35 0.3× 95 1.2× 9 0.2× 4 0.1× 12 328
H. Barkemeyer 193 1.0× 17 0.2× 118 1.4× 9 0.2× 6 0.2× 24 389
Parul Mehta 111 0.6× 20 0.2× 167 2.0× 75 2.0× 19 0.7× 21 365
Hsien‐Po Chiu 256 1.3× 113 1.1× 128 1.6× 13 0.3× 3 0.1× 10 371

Countries citing papers authored by Phillip T. Lowe

Since Specialization
Citations

This map shows the geographic impact of Phillip T. Lowe'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 Phillip T. Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip T. Lowe more than expected).

Fields of papers citing papers by Phillip T. Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip T. Lowe. 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 Phillip T. Lowe. The network helps show where Phillip T. Lowe may publish in the future.

Co-authorship network of co-authors of Phillip T. Lowe

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

All Works

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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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