T. J. Newman
- Molecular Biology
- Condensed Matter Physics top 2%
- Statistical and Nonlinear Physics top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Cell Biology top 5%
- Co-authors
- Alan J. McKaneA. J. BrayLuca AlberganteEugene B. KolomeiskyJoseph P. StraleySam PalmerClare BlackburnRamon Grima
- Topics
- Theoretical and Computational Physics (24 papers)Stochastic processes and statistical mechanics (15 papers)Evolution and Genetic Dynamics (9 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
T. J. Newman
65 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 557
- Condensed Matter Physics 508
- Statistical and Nonlinear Physics 433
- Atomic and Molecular Physics, and Optics 423
- Cell Biology 324
Countries citing papers authored by T. J. Newman
This map shows the geographic impact of T. J. Newman'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 T. J. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Newman more than expected).
Fields of papers citing papers by T. J. Newman
This network shows the impact of papers produced by T. J. Newman. 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 T. J. Newman. The network helps show where T. J. Newman may publish in the future.
Co-authorship network of co-authors of T. J. Newman
This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Newman. A scholar is included among the top collaborators of T. J. Newman 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 T. J. Newman. T. J. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Thymic involution and rising disease incidence with agebreakdown → | 226 |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 91 | |
| 5 | 25 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 58 | |
| 11 | 0 | |
| 12 | 39 | |
| 13 | 27 | |
| 14 | 124 | |
| 15 | 24 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 42 |
About T. J. Newman
T. J. Newman is a scholar working on Condensed Matter Physics, Mathematical Physics and Modeling and Simulation, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (24 papers), Stochastic processes and statistical mechanics (15 papers) and Evolution and Genetic Dynamics (9 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Condensed Matter Physics (508 citations) and Statistical and Nonlinear Physics (433 citations). T. J. Newman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Alan J. McKane, A. J. Bray, Luca Albergante, Eugene B. Kolomeisky, Joseph P. Straley, Sam Palmer, Clare Blackburn, Ramon Grima, M. A. Moore and Janis Antonovics. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.