Tane S. Ray

2.9k total citations · 1 hit paper
31 papers, 2.2k citations indexed

About

Tane S. Ray is a scholar working on Condensed Matter Physics, Mathematical Physics and Molecular Biology. According to data from OpenAlex, Tane S. Ray has authored 31 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Condensed Matter Physics, 9 papers in Mathematical Physics and 6 papers in Molecular Biology. Recurrent topics in Tane S. Ray's work include Theoretical and Computational Physics (16 papers), Stochastic processes and statistical mechanics (9 papers) and Complex Systems and Time Series Analysis (4 papers). Tane S. Ray is often cited by papers focused on Theoretical and Computational Physics (16 papers), Stochastic processes and statistical mechanics (9 papers) and Complex Systems and Time Series Analysis (4 papers). Tane S. Ray collaborates with scholars based in United States, Canada and Barbados. Tane S. Ray's co-authors include Pablo Tamayo, Jeffery L. Kutok, Eric S. Lander, Jill P. Mesirov, Michael Reich, Andrew P. Weng, Kim Last, Donna Neuberg, Ken N. Ross and Geraldine S. Pinkus and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Tane S. Ray

30 papers receiving 2.1k citations

Hit Papers

Diffuse large B-cell lymphoma outcome prediction by gene-... 2002 2026 2010 2018 2002 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tane S. Ray United States 12 1.1k 597 374 336 280 31 2.2k
Taku A. Tokuyasu United States 22 1.1k 0.9× 211 0.4× 241 0.6× 80 0.2× 151 0.5× 45 2.6k
Hiroshi Hirai Japan 28 1.7k 1.5× 201 0.3× 977 2.6× 88 0.3× 148 0.5× 166 4.1k
Jung Hun Oh United States 32 467 0.4× 119 0.2× 382 1.0× 349 1.0× 95 0.3× 175 3.1k
Orly Alter United States 15 1.7k 1.5× 161 0.3× 152 0.4× 353 1.1× 79 0.3× 34 2.7k
Roberto Serra Italy 20 684 0.6× 184 0.3× 110 0.3× 123 0.4× 63 0.2× 105 1.5k
Tadashi Kadowaki Japan 17 428 0.4× 83 0.1× 151 0.4× 1.2k 3.6× 26 0.1× 42 2.3k
G. E. Thomas United Kingdom 14 844 0.7× 636 1.1× 742 2.0× 123 0.4× 48 0.2× 29 2.7k
Tomer Kalisky Israel 27 1.6k 1.4× 218 0.4× 571 1.5× 28 0.1× 59 0.2× 53 2.9k
Joshua J. Waterfall United States 19 3.2k 2.9× 142 0.2× 289 0.8× 89 0.3× 148 0.5× 33 4.2k
Kenji Hamada Japan 24 1.1k 1.0× 92 0.2× 262 0.7× 58 0.2× 32 0.1× 106 2.4k

Countries citing papers authored by Tane S. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Tane S. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tane S. Ray. 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 Tane S. Ray. The network helps show where Tane S. Ray may publish in the future.

Co-authorship network of co-authors of Tane S. Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Tane S. Ray. A scholar is included among the top collaborators of Tane S. Ray 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 Tane S. Ray. Tane S. Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ray, Tane S., et al.. (2020). Modelling the positive feedback mechanism of a karst aquifer using surface reconstruction. International Journal of Computational Methods and Experimental Measurements. 8(4). 367–386.
2.
Barnawal, Deepti, Shiv Shanker Pandey, Nidhi Bharti, et al.. (2017). ACC deaminase-containing plant growth-promoting rhizobacteria protect Papaver somniferum from downy mildew. Journal of Applied Microbiology. 122(5). 1286–1298. 36 indexed citations
3.
Ray, Tane S., et al.. (2008). Role of finite populations in determining evolutionary dynamics. Physical Review E. 77(2). 21909–21909. 2 indexed citations
4.
5.
Zhao, Hongyu, et al.. (2004). A novel DNA marker associated with breast metastasis. Journal of Clinical Oncology. 22(14_suppl). 681–681. 1 indexed citations
6.
Shipp, Margaret A., Ken N. Ross, Pablo Tamayo, et al.. (2002). Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine. 8(1). 68–74. 1842 indexed citations breakdown →
7.
Ray, Tane S., L. L. Moseley, & Naeem Jan. (2000). ORIGINATIONS AND EXTINCTIONS: ANALYSES OF FOSSIL DATA AND SIMULATIONS. International Journal of Modern Physics C. 11(2). 277–285. 3 indexed citations
8.
Jan, Naeem, L. L. Moseley, Tane S. Ray, & Dietrich Stauffer. (1999). Is the fossil record indicative of a critical system?. Advances in Complex Systems. 2(2). 137–141. 11 indexed citations
9.
Ray, Tane S. & Naeem Jan. (1995). Ray and Jan Reply:. Physical Review Letters. 75(5). 982–982. 2 indexed citations
10.
Ray, Tane S. & Naeem Jan. (1994). Anomalous approach to the self-organized critical state in a model for ‘‘life at the edge of chaos’’. Physical Review Letters. 72(25). 4045–4048. 47 indexed citations
11.
Ray, Tane S. & Naeem Jan. (1993). A percolation explanation for the ± J spin-glass critical temperature. Journal de Physique I. 3(11). 2125–2130. 9 indexed citations
12.
Horsthemke, Werner, Charles R. Doering, Tane S. Ray, & Martin A. Burschka. (1992). Fluctuations and correlations in a diffusion-reaction system: Unified description of internal fluctuations and external noise. Physical Review A. 45(8). 5492–5503. 17 indexed citations
13.
Doering, Charles R., Tane S. Ray, & M. L. Glasser. (1992). Long transmission times for transport through a weakly scattering slab. Physical Review A. 45(2). 825–828. 6 indexed citations
14.
Ray, Tane S.. (1991). Evidence for spinodal singularities in high-dimensional nearest-neighbor ising models. Journal of Statistical Physics. 62(1-2). 463–472. 8 indexed citations
15.
Ray, Tane S. & W. Klein. (1990). Nucleation near the spinodal in long-range Ising models. Journal of Statistical Physics. 61(3-4). 891–902. 18 indexed citations
16.
Ray, Tane S. & Jian‐Sheng Wang. (1990). Metastability and nucleation in Ising models with Swendsen-Wang dynamics. Physica A Statistical Mechanics and its Applications. 167(3). 580–588. 20 indexed citations
17.
Ray, Tane S., Pablo Tamayo, & W. Klein. (1989). Mean-field study of the Swendsen-Wang dynamics. Physical review. A, General physics. 39(11). 5949–5953. 34 indexed citations
18.
Klein, W., Tane S. Ray, & Pablo Tamayo. (1989). ScalingAnsatzfor Swendsen-Wang Dynamics. Physical Review Letters. 62(2). 163–166. 28 indexed citations
19.
Weissman, M. B., Robert D. Black, P.J. Restle, & Tane S. Ray. (1983). Thermally activated features in1fnoise in silicon on sapphire. Physical review. B, Condensed matter. 27(2). 1428–1431. 9 indexed citations
20.
Oldfield, Eric, Robert A. Kinsey, Bernard Montez, Tane S. Ray, & Karen Smith. (1982). High-resolution solid-state n.m.r. spectra of quadrupolar nuclei: magic-angle and off-axis spinning of vansdhaum-51 (I= 7/2) in sodium and ammonium metavanadates. Journal of the Chemical Society Chemical Communications. 254–254. 19 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026