Supriya Pan

7.8k total citations · 2 hit papers
104 papers, 3.5k citations indexed

About

Supriya Pan is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Supriya Pan has authored 104 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Astronomy and Astrophysics, 72 papers in Nuclear and High Energy Physics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Supriya Pan's work include Cosmology and Gravitation Theories (102 papers), Galaxies: Formation, Evolution, Phenomena (56 papers) and Black Holes and Theoretical Physics (40 papers). Supriya Pan is often cited by papers focused on Cosmology and Gravitation Theories (102 papers), Galaxies: Formation, Evolution, Phenomena (56 papers) and Black Holes and Theoretical Physics (40 papers). Supriya Pan collaborates with scholars based in India, China and South Africa. Supriya Pan's co-authors include Weiqiang Yang, Eleonora Di Valentino, Emmanuel N. Saridakis, Rafael C. Nunes, Subenoy Chakraborty, Andronikos Paliathanasis, Jaume de Haro, David F. Mota, Olga Mena and G. S. Sharov and has published in prestigious journals such as The Astrophysical Journal, Physics Reports and Nuclear Physics B.

In The Last Decade

Supriya Pan

102 papers receiving 3.3k citations

Hit Papers

Robust preference for Dynamical Dark Energy in DESI BAO a... 2024 2026 2025 2024 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriya Pan India 38 3.3k 2.3k 270 191 95 104 3.5k
Anjan A. Sen India 32 4.1k 1.2× 3.1k 1.3× 394 1.5× 219 1.1× 54 0.6× 91 4.2k
Rafael C. Nunes Brazil 32 2.5k 0.7× 1.7k 0.7× 235 0.9× 186 1.0× 87 0.9× 76 2.6k
Filippo Vernizzi France 30 3.7k 1.1× 2.6k 1.1× 259 1.0× 361 1.9× 61 0.6× 56 3.8k
Yun-Song Piao China 35 4.0k 1.2× 3.3k 1.4× 461 1.7× 366 1.9× 46 0.5× 132 4.1k
Shuichiro Yokoyama Japan 27 2.7k 0.8× 1.7k 0.7× 116 0.4× 307 1.6× 55 0.6× 88 2.7k
I. Waga Brazil 27 2.7k 0.8× 2.1k 0.9× 305 1.1× 94 0.5× 48 0.5× 45 2.8k
Nicola Bartolo Italy 23 2.0k 0.6× 1.2k 0.5× 130 0.5× 265 1.4× 42 0.4× 38 2.0k
Rachel Bean United States 24 2.4k 0.7× 1.7k 0.7× 142 0.5× 190 1.0× 105 1.1× 57 2.5k
N. J. Nunes Portugal 26 2.1k 0.6× 1.7k 0.7× 335 1.2× 124 0.6× 39 0.4× 58 2.2k
Ruth Lazkoz Spain 31 3.1k 0.9× 2.5k 1.1× 327 1.2× 214 1.1× 55 0.6× 85 3.2k

Countries citing papers authored by Supriya Pan

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supriya Pan. 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 Supriya Pan. The network helps show where Supriya Pan may publish in the future.

Co-authorship network of co-authors of Supriya Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Pan. A scholar is included among the top collaborators of Supriya Pan 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 Supriya Pan. Supriya Pan 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.
Haro, Jaume de & Supriya Pan. (2025). A Metric Approach to Newtonian Cosmology and Its Applications to Gravitational Systems. Symmetry. 17(7). 1000–1000. 1 indexed citations
2.
Abedin, M. N., et al.. (2025). In search of an interaction in the dark sector through Gaussian process and ANN approaches. Monthly Notices of the Royal Astronomical Society. 540(3). 2253–2268. 9 indexed citations
3.
Paul, Surajit Kumar, et al.. (2025). Parametrizing the Hubble function instead of dark energy: Many possibilities. Physical review. D. 112(4). 1 indexed citations
4.
Pan, Supriya, et al.. (2024). Dynamical dark energy confronted with multiple CMB missions. Physics of the Dark Universe. 45. 101539–101539. 19 indexed citations
5.
Ghosh, Subir, et al.. (2024). Cosmology in R2-gravity: Effects of a higher derivative scalar condensate background. Journal of High Energy Astrophysics. 43. 231–238. 1 indexed citations
6.
Pan, Supriya, Osamu Seto, Tomo Takahashi, & Yo Toda. (2024). Constraints on sterile neutrinos and the cosmological tensions. Physical review. D. 110(8). 5 indexed citations
7.
Haro, Jaume de & Supriya Pan. (2024). Reheating Constraints and the H0 Tension in Quintessential Inflation. Symmetry. 16(11). 1434–1434.
8.
Pan, Supriya, et al.. (2024). Coupled phantom cosmological model motivated by the warm inflationary paradigm. Physical review. D. 110(6). 5 indexed citations
9.
Giarè, William, Supriya Pan, Eleonora Di Valentino, et al.. (2023). Inflationary potential as seen from different angles: model compatibility from multiple CMB missions. Journal of Cosmology and Astroparticle Physics. 2023(9). 19–19. 19 indexed citations
10.
Yang, Weiqiang, Supriya Pan, Eleonora Di Valentino, Celia Escamilla‐Rivera, & Andronikos Paliathanasis. (2023). Exploring bulk viscous unified scenarios with gravitational waves standard sirens. Monthly Notices of the Royal Astronomical Society. 520(1). 1146–1154. 7 indexed citations
11.
Pan, Supriya, et al.. (2022). Do current observations support transient acceleration of our universe?. International Journal of Modern Physics D. 31(5). 2 indexed citations
12.
Yang, Weiqiang, Eleonora Di Valentino, Supriya Pan, Arman Shafieloo, & Xiaolei Li. (2021). Generalized emergent dark energy model and the Hubble constant tension. Physical review. D. 104(6). 36 indexed citations
13.
Yang, Weiqiang, Eleonora Di Valentino, Supriya Pan, Yabo Wu, & Jianbo Lu. (2020). Dynamical dark energy after Planck CMB final release and H0 tension. Monthly Notices of the Royal Astronomical Society. 501(4). 5845–5858. 64 indexed citations
14.
Pan, Supriya, G. S. Sharov, & Weiqiang Yang. (2020). Field theoretic interpretations of interacting dark energy scenarios and recent observations. Physical review. D. 101(10). 61 indexed citations
15.
Yang, Weiqiang, Supriya Pan, Andronikos Paliathanasis, Subir Ghosh, & Yabo Wu. (2019). Observational constraints of a new unified dark fluid and the H0 tension. Monthly Notices of the Royal Astronomical Society. 490(2). 2071–2085. 32 indexed citations
16.
Yang, Weiqiang, Supriya Pan, Eleonora Di Valentino, Andronikos Paliathanasis, & Jianbo Lu. (2019). Challenging bulk viscous unified scenarios with cosmological observations. Physical review. D. 100(10). 39 indexed citations
17.
Yang, Weiqiang, Olga Mena, Supriya Pan, & Eleonora Di Valentino. (2019). Dark sectors with dynamical coupling. Physical review. D. 100(8). 55 indexed citations
18.
Yang, Weiqiang, et al.. (2019). Constraints on quintessence scalar field models using cosmological observations. Physical review. D. 100(2). 33 indexed citations
19.
Haro, Jaume de & Supriya Pan. (2018). Bulk viscous quintessential inflation. International Journal of Modern Physics D. 27(5). 1850052–1850052. 15 indexed citations
20.
Yang, Weiqiang, Supriya Pan, Lixin Xu, & David F. Mota. (2018). Effects of anisotropic stress in interacting dark matter – dark energy scenarios. Monthly Notices of the Royal Astronomical Society. 482(2). 1858–1871. 56 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.

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