Arpa Hudait

1.9k total citations
20 papers, 1.5k citations indexed

About

Arpa Hudait is a scholar working on Atmospheric Science, Ecology and Molecular Biology. According to data from OpenAlex, Arpa Hudait has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 8 papers in Ecology and 5 papers in Molecular Biology. Recurrent topics in Arpa Hudait's work include nanoparticles nucleation surface interactions (14 papers), Physiological and biochemical adaptations (6 papers) and HIV Research and Treatment (5 papers). Arpa Hudait is often cited by papers focused on nanoparticles nucleation surface interactions (14 papers), Physiological and biochemical adaptations (6 papers) and HIV Research and Treatment (5 papers). Arpa Hudait collaborates with scholars based in United States, Canada and Germany. Arpa Hudait's co-authors include Valeria Molinero, Laura Lupi, Yuqing Qiu, Francesco Paesani, Michael Grünwald, Baron Peters, Ryan Gotchy Mullen, Andrew H. Nguyen, Daniel R. Moberg and Gregory A. Voth and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Arpa Hudait

19 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpa Hudait United States 15 870 338 285 217 181 20 1.5k
Yuqing Qiu United States 21 754 0.9× 232 0.7× 315 1.1× 135 0.6× 144 0.8× 65 1.6k
Laura Lupi Italy 17 672 0.8× 427 1.3× 114 0.4× 390 1.8× 133 0.7× 28 1.3k
Hiroki Nada Japan 20 696 0.8× 503 1.5× 160 0.6× 334 1.5× 120 0.7× 49 1.4k
Konrad Meister Germany 23 627 0.7× 267 0.8× 631 2.2× 428 2.0× 81 0.4× 55 2.0k
T. M. Davison United Kingdom 27 312 0.4× 144 0.4× 209 0.7× 207 1.0× 119 0.7× 88 2.0k
Xingli Wang China 22 563 0.6× 823 2.4× 90 0.3× 134 0.6× 90 0.5× 95 2.2k
Brian D. Swanson United States 17 367 0.4× 184 0.5× 91 0.3× 141 0.6× 64 0.4× 25 902
Kenji Mochizuki Japan 19 217 0.2× 370 1.1× 165 0.6× 193 0.9× 34 0.2× 92 1.3k
Gabriele C. Sosso United Kingdom 27 393 0.5× 1.5k 4.4× 94 0.3× 347 1.6× 82 0.5× 61 2.2k
Jiangyong Wang China 19 191 0.2× 253 0.7× 196 0.7× 47 0.2× 48 0.3× 146 1.5k

Countries citing papers authored by Arpa Hudait

Since Specialization
Citations

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

Fields of papers citing papers by Arpa Hudait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpa Hudait

This figure shows the co-authorship network connecting the top 25 collaborators of Arpa Hudait. A scholar is included among the top collaborators of Arpa Hudait 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 Arpa Hudait. Arpa Hudait 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.
Hudait, Arpa, et al.. (2025). Kinetic implications of IP 6 anion binding on the molecular switch of HIV-1 capsid assembly. Science Advances. 11(16). eadt7818–eadt7818. 2 indexed citations
2.
3.
Hudait, Arpa & Gregory A. Voth. (2024). HIV-1 capsid shape, orientation, and entropic elasticity regulate translocation into the nuclear pore complex. Proceedings of the National Academy of Sciences. 121(4). e2313737121–e2313737121. 25 indexed citations
4.
Hudait, Arpa, James H. Hurley, & Gregory A. Voth. (2023). Dynamics of upstream ESCRT organization at the HIV-1 budding site. Biophysical Journal. 122(13). 2655–2674. 8 indexed citations
5.
Hudait, Arpa. (2023). Multiscale Molecular Dynamics Simulations of Ice-Binding Proteins. Methods in molecular biology. 2730. 185–202.
6.
Wei, Guochao, Valentine V. Courouble, Ashwanth C. Francis, et al.. (2022). Prion-like low complexity regions enable avid virus-host interactions during HIV-1 infection. Nature Communications. 13(1). 5879–5879. 32 indexed citations
7.
Flower, Thomas G., Yoshinori Takahashi, Arpa Hudait, et al.. (2020). A helical assembly of human ESCRT-I scaffolds reverse-topology membrane scission. Nature Structural & Molecular Biology. 27(6). 570–580. 43 indexed citations
8.
Moberg, Daniel R., Daniel M. Becker, U. Buck, et al.. (2019). The end of ice I. Proceedings of the National Academy of Sciences. 116(49). 24413–24419. 55 indexed citations
9.
Qiu, Yuqing, Arpa Hudait, & Valeria Molinero. (2019). Size and Aggregation of Ice-binding Proteins Control Their Ice Nucleation Efficiency. Bulletin of the American Physical Society. 2019. 2 indexed citations
10.
Hudait, Arpa, et al.. (2019). Hydrogen-Bonding and Hydrophobic Groups Contribute Equally to the Binding of Hyperactive Antifreeze and Ice-Nucleating Proteins to Ice. Journal of the American Chemical Society. 141(19). 7887–7898. 123 indexed citations
11.
Qiu, Yuqing, Arpa Hudait, & Valeria Molinero. (2019). How Size and Aggregation of Ice-Binding Proteins Control Their Ice Nucleation Efficiency. Journal of the American Chemical Society. 141(18). 7439–7452. 120 indexed citations
12.
Hudait, Arpa, et al.. (2018). Ice-Nucleating and Antifreeze Proteins Recognize Ice through a Diversity of Anchored Clathrate and Ice-like Motifs. Journal of the American Chemical Society. 140(14). 4905–4912. 127 indexed citations
13.
Hudait, Arpa, et al.. (2018). Preordering of water is not needed for ice recognition by hyperactive antifreeze proteins. Proceedings of the National Academy of Sciences. 115(33). 8266–8271. 94 indexed citations
14.
Lupi, Laura, Arpa Hudait, Baron Peters, et al.. (2017). Role of stacking disorder in ice nucleation. Nature. 551(7679). 218–222. 199 indexed citations
15.
Qiu, Yuqing, Arpa Hudait, Ryan H. Mason, et al.. (2017). Ice Nucleation Efficiency of Hydroxylated Organic Surfaces Is Controlled by Their Structural Fluctuations and Mismatch to Ice. Journal of the American Chemical Society. 139(8). 3052–3064. 148 indexed citations
16.
Hudait, Arpa, et al.. (2017). Sink or Swim: Ions and Organics at the Ice–Air Interface. Journal of the American Chemical Society. 139(29). 10095–10103. 38 indexed citations
17.
Hudait, Arpa, et al.. (2016). Free energy contributions and structural characterization of stacking disordered ices. Physical Chemistry Chemical Physics. 18(14). 9544–9553. 90 indexed citations
18.
Hudait, Arpa & Valeria Molinero. (2016). What Determines the Ice Polymorph in Clouds?. Journal of the American Chemical Society. 138(28). 8958–8967. 49 indexed citations
19.
Lupi, Laura, Arpa Hudait, & Valeria Molinero. (2014). Heterogeneous Nucleation of Ice on Carbon Surfaces. Journal of the American Chemical Society. 136(8). 3156–3164. 246 indexed citations
20.
Hudait, Arpa & Valeria Molinero. (2014). Ice Crystallization in Ultrafine Water–Salt Aerosols: Nucleation, Ice-Solution Equilibrium, and Internal Structure. Journal of the American Chemical Society. 136(22). 8081–8093. 58 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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