Nicholas Hamilton
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
-
- Finite Group Theory Research 18
- Biophysics 13
- Cell Image Analysis Techniques 12
- Co-authors
- Rohan D. TeasdaleJames LefevreAlpha S. YapRobert G. PartonHayley CoxSuzie VermaRobert G. BeikoKelly Hanson
- Journals
- European Journal of Combinatorics (6 papers)Nature Cell Biology (4 papers)BMC Bioinformatics (4 papers)Journal of Theoretical Biology (4 papers)Traffic (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Nicholas Hamilton
88 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 165
- Cell Biology 1.1k
- Biophysics 298
- Discrete Mathematics and Combinatorics 112
- Molecular Biology 1.7k
- Immunology and Allergy 129
Countries citing papers authored by Nicholas Hamilton
This map shows the geographic impact of Nicholas Hamilton'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 Hamilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Hamilton more than expected).
Fields of papers citing papers by Nicholas Hamilton
This network shows the impact of papers produced by Nicholas Hamilton. 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 Hamilton. The network helps show where Nicholas Hamilton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas Hamilton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 26 | |
| 2 | 2021 | 3 | |
| 3 | 2017 | 27 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 2 | |
| 6 | 2015 | 5 | |
| 7 | 2014 | 169 | |
| 8 | 2014 | 186 | |
| 9 | 2013 | 176 | |
| 10 | 2012 | 56 | |
| 11 | An efficient parallel implementation of Markov clustering algorithm for large-scale protein-protein interaction networks that uses MPI | 2009 | 7 |
| 12 | 2008 | 30 | |
| 13 | 2003 | 7 | |
| 14 | 2002 | 8 | |
| 15 | Quasi-quadrics and related structures | 2000 | 15 |
| 16 | On minimum possible volumes of strong Steiner trades. | 1999 | 3 |
| 17 | On the minimal possible volumes of strong Steiner trades | 1999 | 1 |
| 18 | Baer partitions of small order projective planes | 1999 | 1 |
| 19 | 1998 | 4 | |
| 20 | 1994 | 3 |
About Nicholas Hamilton
Nicholas Hamilton is a scholar working on Discrete Mathematics and Combinatorics, Biophysics, Structural Biology, Cell Biology and Molecular Biology, having authored 89 papers that have together received 3.1k indexed citations. Recurring topics across this work include Finite Group Theory Research (18 papers), graph theory and CDMA systems (17 papers), Coding theory and cryptography (15 papers), Cell Image Analysis Techniques (12 papers), Renal and related cancers (11 papers), Single-cell and spatial transcriptomics (8 papers), Cellular Mechanics and Interactions (8 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cell Biology (1.1k citations), Biophysics (298 citations), Discrete Mathematics and Combinatorics (112 citations), Molecular Biology (1.7k citations) and Immunology and Allergy (129 citations). Nicholas Hamilton has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rohan D. Teasdale, James Lefevre, Alpha S. Yap, Robert G. Parton, Hayley Cox, Suzie Verma, Robert G. Beiko, Kelly Hanson, Guillermo A. Gómez and Alexander N. Combes. Their work appears in journals such as European Journal of Combinatorics, Nature Cell Biology, BMC Bioinformatics, Journal of Theoretical Biology and Traffic.
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.