Martin J. Stone
- Molecular Biology top 2%
- Oncology top 5%
- Immunology top 5%
- Spectroscopy top 2%
- Materials Chemistry top 10%
- Co-authors
- Dudley H. WilliamsLukáš Žı́dekRichard J. PaynePeter E. WrightJustin P. LudemanJulie SanchezShirley K. RahmanMiloš V. Novotný
- Topics
- Chemokine receptors and signaling (31 papers)Glycosylation and Glycoproteins Research (22 papers)Protein Structure and Dynamics (17 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Martin J. Stone
99 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.6k
- Oncology 845
- Immunology 840
- Spectroscopy 500
- Materials Chemistry 483
Countries citing papers authored by Martin J. Stone
This map shows the geographic impact of Martin J. Stone'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 Martin J. Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Stone more than expected).
Fields of papers citing papers by Martin J. Stone
This network shows the impact of papers produced by Martin J. Stone. 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 Martin J. Stone. The network helps show where Martin J. Stone may publish in the future.
Co-authorship network of co-authors of Martin J. Stone
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Stone. A scholar is included among the top collaborators of Martin J. Stone 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 Martin J. Stone. Martin J. Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 28 | |
| 3 | 5 | |
| 4 | 43 | |
| 5 | Caesar prophesies the future: Sallust "Catiline" 51.35-6: an exercise in historiography | 0 |
| 6 | 63 | |
| 7 | 62 | |
| 8 | 6 | |
| 9 | 46 | |
| 10 | 37 | |
| 11 | 19 | |
| 12 | 34 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 73 | |
| 16 | 102 | |
| 17 | 56 | |
| 18 | 64 | |
| 19 | 34 | |
| 20 | 10 |
About Martin J. Stone
Martin J. Stone is a scholar working on Immunology, Oncology and Molecular Biology, having authored 106 papers that have together received 4.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (31 papers), Glycosylation and Glycoproteins Research (22 papers) and Protein Structure and Dynamics (17 papers). The work is most often cited by research in Immunology (840 citations), Molecular Biology (2.6k citations) and Oncology (845 citations). Martin J. Stone has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dudley H. Williams, Lukáš Žı́dek, Richard J. Payne, Peter E. Wright, Justin P. Ludeman, Julie Sanchez, Shirley K. Rahman, Miloš V. Novotný, Cheng Huang and Jiqing Ye. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences 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.