Maya Narayanan Nair

1.4k total citations
50 papers, 999 citations indexed

About

Maya Narayanan Nair is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Polymers and Plastics. According to data from OpenAlex, Maya Narayanan Nair has authored 50 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 13 papers in Atomic and Molecular Physics, and Optics and 12 papers in Polymers and Plastics. Recurrent topics in Maya Narayanan Nair's work include Graphene research and applications (19 papers), Polymer Nanocomposites and Properties (10 papers) and Polymer crystallization and properties (10 papers). Maya Narayanan Nair is often cited by papers focused on Graphene research and applications (19 papers), Polymer Nanocomposites and Properties (10 papers) and Polymer crystallization and properties (10 papers). Maya Narayanan Nair collaborates with scholars based in France, United States and India. Maya Narayanan Nair's co-authors include Antonio Tejeda, A. Taleb‐Ibrahimi, M. R. Gopinathan Nair, Arlensiú Celis, E. H. Conrad, Claire Berger, Walter A. de Heer, M. S. Nevius, Adam Heller and Matthew Conrad and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Maya Narayanan Nair

45 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Narayanan Nair France 16 705 277 256 167 160 50 999
Zhenning Gu United States 9 991 1.4× 195 0.7× 122 0.5× 285 1.7× 144 0.9× 13 1.1k
Beth M. Nichols United States 12 526 0.7× 402 1.5× 141 0.6× 207 1.2× 52 0.3× 14 818
Stefano Costacurta Italy 18 604 0.9× 174 0.6× 86 0.3× 201 1.2× 53 0.3× 35 947
Yue Chan China 17 508 0.7× 274 1.0× 164 0.6× 375 2.2× 43 0.3× 61 842
A. V. Shvidchenko Russia 16 621 0.9× 184 0.7× 85 0.3× 245 1.5× 45 0.3× 58 850
Francisco J. Aparicio Spain 17 480 0.7× 449 1.6× 71 0.3× 196 1.2× 186 1.2× 45 852
S.S. Dahiwale India 17 589 0.8× 333 1.2× 51 0.2× 154 0.9× 141 0.9× 106 923
K. D. Patel India 21 956 1.4× 858 3.1× 85 0.3× 209 1.3× 188 1.2× 73 1.3k
Priyanka Pandey United States 9 731 1.0× 263 0.9× 65 0.3× 471 2.8× 159 1.0× 23 1.0k

Countries citing papers authored by Maya Narayanan Nair

Since Specialization
Citations

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

Fields of papers citing papers by Maya Narayanan Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Narayanan Nair. 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 Maya Narayanan Nair. The network helps show where Maya Narayanan Nair may publish in the future.

Co-authorship network of co-authors of Maya Narayanan Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Narayanan Nair. A scholar is included among the top collaborators of Maya Narayanan Nair 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 Maya Narayanan Nair. Maya Narayanan Nair 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.
Chen, Siwei, Jae Hyuck Jang, Hee‐Suk Chung, et al.. (2025). Proximity-induced antisymmetric humps in Hall resistivity in Fe-doped monolayer WSe2. Applied Physics Letters. 126(10).
4.
Dey, Avishek, Ranajit Saha, Sheng Zhang, et al.. (2024). Water‐Vapor Responsive Metallo‐Peptide Nanofibers. Angewandte Chemie. 136(47).
5.
Dey, Avishek, Ranajit Saha, Sheng Zhang, et al.. (2024). Water‐Vapor Responsive Metallo‐Peptide Nanofibers. Angewandte Chemie International Edition. 63(47). e202409391–e202409391. 5 indexed citations
6.
Nair, Maya Narayanan, Irene Palacio, A. Mascaraque, et al.. (2023). Giant electron-phonon interaction for a prototypical semiconductor interface: Sn/Ge(111)(3×3). Physical review. B.. 107(4). 1 indexed citations
7.
Khan, Saleem Ayaz, Maya Narayanan Nair, Younal Ksari, et al.. (2021). Renormalization of the valence and conduction bands of (C 6 H 5 C 2 H 4 NH 3 ) 2 PbI 4 hybrid perovskite. Journal of Physics D Applied Physics. 54(36). 365301–365301.
8.
Celis, Arlensiú, Maya Narayanan Nair, François Nicolas, et al.. (2020). Growth, morphology and electronic properties of epitaxial graphene on vicinal Ir(332) surface. Nanotechnology. 31(28). 285601–285601. 5 indexed citations
9.
Thupakula, Umamahesh, Giovanni Di Santo, L. Petaccia, et al.. (2020). Structural and electronic properties of the pure and stable elemental 3D topological Dirac semimetal α-Sn. APL Materials. 8(3). 21 indexed citations
10.
Nevius, M. S., Wonhee Ko, Marek Kolmer, et al.. (2019). Edge states and ballistic transport in zigzag graphene ribbons: The role of SiC polytypes. Physical review. B.. 100(4). 12 indexed citations
11.
Koshibae, Wataru, Gyaneshwar Sharma, Ruchi Tomar, et al.. (2019). The limit to realize an isolated magnetic single skyrmionic state. Journal of Materials Chemistry C. 7(5). 1337–1344. 3 indexed citations
12.
Daukiya, Lakshya, Maya Narayanan Nair, F. Vonau, et al.. (2018). Functionalization of 2D materials by intercalation. Progress in Surface Science. 94(1). 1–20. 54 indexed citations
13.
Daukiya, Lakshya, Maya Narayanan Nair, Samar Hajjar‐Garreau, et al.. (2018). Highly n-doped graphene generated through intercalated terbium atoms. Physical review. B.. 97(3). 24 indexed citations
14.
Conrad, Matthew, M. S. Nevius, Feng Wang, et al.. (2016). Semiconducting graphene and its incommensurate SiC interface. Bulletin of the American Physical Society. 2016. 1 indexed citations
15.
Nair, Maya Narayanan, Cristina Mattioli, Marion Cranney, et al.. (2015). STM Studies of Self-Assembled Tetrathiafulvalene (TTF) Derivatives on Graphene: Influence of the Mode of Deposition. The Journal of Physical Chemistry C. 119(17). 9334–9341. 12 indexed citations
16.
Nair, Maya Narayanan & M. R. Gopinathan Nair. (2011). Studies on impact modification and fractography of solution cast blends of PVC and NR/PU block copolymers. Polymer Bulletin. 68(3). 859–877. 10 indexed citations
17.
Nair, Maya Narayanan & M. R. Gopinathan Nair. (2010). Thermogravimetric analysis of PVC/NR-b-PU blends. Journal of Thermal Analysis and Calorimetry. 103(3). 863–872. 8 indexed citations
18.
Nair, Maya Narayanan, et al.. (2008). Blends of PVC and epoxidized liquid natural rubber: Studies on impact modification. Journal of Applied Polymer Science. 111(1). 48–56. 14 indexed citations
19.
Nair, M. R. Gopinathan, et al.. (2008). Synthesis and thermal studies of block copolymers from NR and MDI‐based polyurethanes. Journal of Applied Polymer Science. 111(1). 19–28. 8 indexed citations
20.
Nair, Maya Narayanan, et al.. (2007). Miscibility Studies of PVC / ELNR Blends. Polymer Bulletin. 59(3). 413–426. 7 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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