Nigel J. Sweeney

41 total papers · 1.1k total citations
22 papers, 1.0k citations indexed

About

Nigel J. Sweeney is a scholar working on Organic Chemistry, Oncology and Molecular Biology. According to data from OpenAlex, Nigel J. Sweeney has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 14 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Nigel J. Sweeney's work include Organometallic Complex Synthesis and Catalysis (15 papers), Ferrocene Chemistry and Applications (14 papers) and Metal complexes synthesis and properties (14 papers). Nigel J. Sweeney is often cited by papers focused on Organometallic Complex Synthesis and Catalysis (15 papers), Ferrocene Chemistry and Applications (14 papers) and Metal complexes synthesis and properties (14 papers). Nigel J. Sweeney collaborates with scholars based in Ireland, Germany and Brazil. Nigel J. Sweeney's co-authors include Matthias Tacke, Katja Strohfeldt, Clara Pampillón, Franz‐Josef K. Rehmann, Óscar Mendoza, Helge Müller‐Bunz, William M. Gallagher, Laurence P. Cuffe, Olaf Oberschmidt and Gerhard Kelter and has published in prestigious journals such as British Journal of Cancer, European Journal of Pharmacology and Journal of Organometallic Chemistry.

In The Last Decade

Nigel J. Sweeney

21 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nigel J. Sweeney 870 589 143 133 72 22 1.0k
Tânia S. Morais 750 0.9× 753 1.3× 160 1.1× 181 1.4× 224 3.1× 40 1.1k
Julia Schur 569 0.7× 527 0.9× 119 0.8× 207 1.6× 221 3.1× 19 973
Rafael Fernández 674 0.8× 537 0.9× 284 2.0× 99 0.7× 125 1.7× 18 892
Jean F. Vollano 713 0.8× 617 1.0× 366 2.6× 385 2.9× 304 4.2× 24 1.2k
Andreia de Almeida 567 0.7× 513 0.9× 98 0.7× 146 1.1× 431 6.0× 27 1.1k
Riccardo Bonsignore 592 0.7× 448 0.8× 121 0.8× 158 1.2× 432 6.0× 46 1.1k
Imtiyaz Yousuf 526 0.6× 659 1.1× 217 1.5× 133 1.0× 252 3.5× 32 900
Grazia Papini 562 0.6× 409 0.7× 232 1.6× 136 1.0× 64 0.9× 23 822
Joan J. Soldevila‐Barreda 604 0.7× 407 0.7× 295 2.1× 206 1.5× 244 3.4× 19 972
Haimei Chen 573 0.7× 620 1.1× 156 1.1× 109 0.8× 261 3.6× 17 991

Countries citing papers authored by Nigel J. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Nigel J. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Sweeney. 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 Nigel J. Sweeney. The network helps show where Nigel J. Sweeney may publish in the future.

Co-authorship network of co-authors of Nigel J. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Sweeney. A scholar is included among the top collaborators of Nigel J. Sweeney 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 Nigel J. Sweeney. Nigel J. Sweeney 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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