Nicholas H. Angello
- Materials Chemistry
- Biomedical Engineering
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Molecular Biology
- Co-authors
- Martin D. BurkeAgnieszka WołosRafał RoszakWiktor BekerBartosz A. GrzybowskiVandana RathoreCharles M. SchroederAlán Aspuru‐Guzik
- Topics
- Machine Learning in Materials Science (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Chemical Synthesis and Analysis (2 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Nicholas H. Angello
11 papers receiving 397 citations
Peers
Comparison fields: 5 of 57
- Materials Chemistry 204
- Biomedical Engineering 103
- Computational Theory and Mathematics 91
- Organic Chemistry 88
- Molecular Biology 84
Countries citing papers authored by Nicholas H. Angello
This map shows the geographic impact of Nicholas H. Angello'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 Nicholas H. Angello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas H. Angello more than expected).
Fields of papers citing papers by Nicholas H. Angello
This network shows the impact of papers produced by Nicholas H. Angello. 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 Nicholas H. Angello. The network helps show where Nicholas H. Angello may publish in the future.
Co-authorship network of co-authors of Nicholas H. Angello
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas H. Angello. A scholar is included among the top collaborators of Nicholas H. Angello 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 Nicholas H. Angello. Nicholas H. Angello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 35 | |
| 6 | 136 | |
| 7 | 126 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 9 |
About Nicholas H. Angello
Nicholas H. Angello is a scholar working on Physical and Theoretical Chemistry, Organic Chemistry and Pharmacology, having authored 11 papers that have together received 407 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (91 citations), Materials Chemistry (204 citations) and Inorganic Chemistry (45 citations). Nicholas H. Angello has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Martin D. Burke, Agnieszka Wołos, Rafał Roszak, Wiktor Beker, Bartosz A. Grzybowski, Vandana Rathore, Charles M. Schroeder, Alán Aspuru‐Guzik, Tony Wu and Songsong Li. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.