Nilimesh Das

675 total citations
39 papers, 540 citations indexed

About

Nilimesh Das is a scholar working on Molecular Biology, Materials Chemistry and Catalysis. According to data from OpenAlex, Nilimesh Das has authored 39 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Materials Chemistry and 9 papers in Catalysis. Recurrent topics in Nilimesh Das's work include Protein Interaction Studies and Fluorescence Analysis (14 papers), Ionic liquids properties and applications (9 papers) and Protein Structure and Dynamics (7 papers). Nilimesh Das is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (14 papers), Ionic liquids properties and applications (9 papers) and Protein Structure and Dynamics (7 papers). Nilimesh Das collaborates with scholars based in India, United States and Japan. Nilimesh Das's co-authors include Pratik Sen, Bhaswati Sengupta, K. S. Negi, Sanjay Batra, Shashikant U. Dighe, Rajeev Yadav, Arnab Halder, Subhajit Chakraborty, Sudeshna Datta and Debabrata Nandi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Nilimesh Das

38 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilimesh Das India 16 299 147 120 66 63 39 540
Pannur Venkatesu Taiwan 14 162 0.5× 163 1.1× 118 1.0× 50 0.8× 55 0.9× 18 510
Shulu Feng United States 7 167 0.6× 110 0.7× 220 1.8× 153 2.3× 30 0.5× 10 626
Dung Thanh Dang Vietnam 9 283 0.9× 90 0.6× 65 0.5× 40 0.6× 163 2.6× 19 568
W. Tamura-Lis United States 10 168 0.6× 41 0.3× 56 0.5× 43 0.7× 36 0.6× 28 361
André A. S. T. Ribeiro Brazil 7 212 0.7× 72 0.5× 10 0.1× 21 0.3× 27 0.4× 12 346
Charles J. Reedy United States 9 352 1.2× 207 1.4× 13 0.1× 92 1.4× 32 0.5× 9 619
Richard A. Dunbar United States 9 90 0.3× 94 0.6× 17 0.1× 94 1.4× 115 1.8× 11 384
Sangeeta Saini India 11 114 0.4× 207 1.4× 14 0.1× 101 1.5× 14 0.2× 24 466
Arnab Halder India 12 150 0.5× 111 0.8× 13 0.1× 29 0.4× 18 0.3× 24 366
Kevin P. Peil United States 5 189 0.6× 201 1.4× 137 1.1× 7 0.1× 45 0.7× 5 451

Countries citing papers authored by Nilimesh Das

Since Specialization
Citations

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

Fields of papers citing papers by Nilimesh Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilimesh Das

This figure shows the co-authorship network connecting the top 25 collaborators of Nilimesh Das. A scholar is included among the top collaborators of Nilimesh Das 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 Nilimesh Das. Nilimesh Das 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.
Paul, Tapas, et al.. (2025). FUS nanoclusters are a distinct state within the dilute phase. Nature Communications. 16(1). 9956–9956.
2.
Das, Nilimesh, et al.. (2024). Macromolecular crowding effects on protein dynamics. International Journal of Biological Macromolecules. 281(Pt 3). 136248–136248. 8 indexed citations
3.
Das, Nilimesh, et al.. (2024). Tracking heterogenous protein aggregation at nanoscale through fluorescence correlation spectroscopy. Photochemistry and Photobiology. 100(4). 989–999. 3 indexed citations
4.
Das, Nilimesh, et al.. (2023). Understanding the intricacy of protein in hydrated deep eutectic solvent: Solvation dynamics, conformational fluctuation dynamics, and stability. International Journal of Biological Macromolecules. 253(Pt 5). 127100–127100. 21 indexed citations
5.
Das, Nilimesh, et al.. (2023). Multiple evidences for molecular level heterogeneity in a non-ionic biocatalytic deep eutectic solvent. Journal of Molecular Liquids. 389. 122882–122882. 9 indexed citations
6.
Das, Nilimesh, et al.. (2023). Associated Water Dynamics Might Be a Key Factor Affecting Protein Stability in the Crowded Milieu. The Journal of Physical Chemistry B. 127(14). 3151–3163. 20 indexed citations
7.
Das, Nilimesh, et al.. (2023). Does Viscosity Decoupling Guarantee Dynamic Heterogeneity? A Clue through an Excitation and Emission Wavelength-Dependent Time-Resolved Fluorescence Anisotropy Study. The Journal of Physical Chemistry B. 127(32). 7162–7173. 7 indexed citations
10.
Das, Nilimesh, et al.. (2022). Viscosity decoupling does not guarantee dynamic heterogeneity: A way out. Journal of Photochemistry and Photobiology A Chemistry. 436. 114361–114361. 5 indexed citations
12.
Sengupta, Bhaswati, Nilimesh Das, Virender Singh, Ashwani Kumar Thakur, & Pratik Sen. (2020). Fluorescence correlation spectroscopy as a tool to investigate the directionality of proteolysis. International Journal of Biological Macromolecules. 164. 2524–2534. 5 indexed citations
13.
Das, Nilimesh, et al.. (2020). Highly Selective and Sensitive (PPB Level) Quinolin‐Based Colorimetric Chemosensor for Cu(II). ChemistrySelect. 5(30). 9435–9442. 11 indexed citations
14.
Dighe, Shashikant U., et al.. (2019). β-carboline-based turn-on fluorescence chemosensor for quantitative detection of fluoride at PPB level. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 220. 117099–117099. 23 indexed citations
15.
Das, Nilimesh & Pratik Sen. (2019). Size-dependent macromolecular crowding effect on the thermodynamics of protein unfolding revealed at the single molecular level. International Journal of Biological Macromolecules. 141. 843–854. 34 indexed citations
16.
Das, Nilimesh, et al.. (2019). Reversible Ultra‐Slow Crystal Growth of Mixed Lead Bismuth Perovskite Nanocrystals: The Presence of Dynamic Capping. Chemistry - A European Journal. 26(7). 1506–1510. 7 indexed citations
17.
Sengupta, Bhaswati, et al.. (2019). Domain-Specific Stabilization of Structural and Dynamic Responses of Human Serum Albumin by Sucrose. Protein and Peptide Letters. 26(4). 287–300. 5 indexed citations
18.
Sengupta, Bhaswati, Nilimesh Das, & Pratik Sen. (2017). Monomerization and aggregation of β-lactoglobulin under adverse condition: A fluorescence correlation spectroscopic investigation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1866(2). 316–326. 16 indexed citations
19.
Sengupta, Bhaswati, et al.. (2017). Single Molecular Level Probing of Structure and Dynamics of Papain Under Denaturation. Protein and Peptide Letters. 24(11). 1073–1081. 7 indexed citations
20.
Sengupta, Bhaswati, Nilimesh Das, & Pratik Sen. (2016). Elucidation of μs dynamics of domain-III of human serum albumin during the chemical and thermal unfolding: A fluorescence correlation spectroscopic investigation. Biophysical Chemistry. 221. 17–25. 16 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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