Eesha Khare

720 total citations · 1 hit paper
18 papers, 551 citations indexed

About

Eesha Khare is a scholar working on Biomaterials, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Eesha Khare has authored 18 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Eesha Khare's work include Collagen: Extraction and Characterization (4 papers), Protein Structure and Dynamics (3 papers) and Force Microscopy Techniques and Applications (2 papers). Eesha Khare is often cited by papers focused on Collagen: Extraction and Characterization (4 papers), Protein Structure and Dynamics (3 papers) and Force Microscopy Techniques and Applications (2 papers). Eesha Khare collaborates with scholars based in United States, United Kingdom and China. Eesha Khare's co-authors include Markus J. Buehler, Niels Holten‐Andersen, David L. Kaplan, Chi‐Hua Yu, Sabrina C. Shen, Stoyan K. Smoukov, Ivan V. Tomov, Ehsan Hajiesmaili, Alex Chortos and David R. Clarke and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and ACS Nano.

In The Last Decade

Eesha Khare

18 papers receiving 539 citations

Hit Papers

Transition-metal coordinate bonds for bioinspired macromo... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eesha Khare United States 10 158 157 131 103 97 18 551
Sujan Dutta India 12 237 1.5× 222 1.4× 184 1.4× 74 0.7× 101 1.0× 28 782
Christine Dupont-Gillain Belgium 15 242 1.5× 132 0.8× 91 0.7× 74 0.7× 55 0.6× 34 594
Nahla Rahoui China 11 192 1.2× 192 1.2× 162 1.2× 80 0.8× 32 0.3× 17 428
Denis V. Voronin Russia 13 257 1.6× 273 1.7× 125 1.0× 47 0.5× 82 0.8× 36 656
Philip Biehl Germany 11 157 1.0× 151 1.0× 109 0.8× 50 0.5× 40 0.4× 23 430
Fan Fan China 9 170 1.1× 165 1.1× 165 1.3× 201 2.0× 91 0.9× 14 589
Kenji Nagata Japan 14 157 1.0× 211 1.3× 198 1.5× 176 1.7× 65 0.7× 54 705
Peiling Wei China 11 446 2.8× 163 1.0× 132 1.0× 171 1.7× 100 1.0× 20 690
Fujun Liu China 11 245 1.6× 220 1.4× 150 1.1× 58 0.6× 56 0.6× 16 609

Countries citing papers authored by Eesha Khare

Since Specialization
Citations

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

Fields of papers citing papers by Eesha Khare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eesha Khare

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

All Works

18 of 18 papers shown
1.
Milazzo, Mario, Eesha Khare, Munir S. Skaf, et al.. (2025). Molecular-Scale Interactions at Mineralized Collagen Interfaces Prevent Network Percolation, Preserving Compliance. ACS Nano. 19(35). 31350–31362. 1 indexed citations
2.
Khare, Eesha, Zaira Martín‐Moldes, David L. Kaplan, et al.. (2024). Heterogeneous and Cooperative Rupture of Histidine–Ni2+ Metal-Coordination Bonds on Rationally Designed Protein Templates. ACS Biomaterials Science & Engineering. 10(5). 2945–2955. 2 indexed citations
3.
Khare, Eesha, et al.. (2024). Crosslinker energy landscape effects on dynamic mechanical properties of ideal polymer hydrogels. Materials Advances. 5(5). 1991–1997. 8 indexed citations
4.
Khare, Eesha, et al.. (2023). Localization of Zn2+ ions affects the structural folding and mechanics of Nereis virens Nvjp-1. Soft Matter. 19(21). 3917–3924. 1 indexed citations
5.
Khare, Eesha, et al.. (2023). Molecular understanding of Ni 2+ -nitrogen family metal-coordinated hydrogel relaxation times using free energy landscapes. Proceedings of the National Academy of Sciences. 120(4). e2213160120–e2213160120. 12 indexed citations
6.
Shen, Sabrina C., et al.. (2023). Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics. Chemical Reviews. 123(5). 2242–2275. 43 indexed citations
7.
Khare, Eesha, et al.. (2023). Bond clusters control rupture force limit in shear loaded histidine-Ni2+ metal-coordinated proteins. Nanoscale. 15(19). 8578–8588. 7 indexed citations
8.
Song, Jake, Eesha Khare, Li Rao, Markus J. Buehler, & Niels Holten‐Andersen. (2023). Coordination Stoichiometry Effects on the Binding Hierarchy of Histamine and Imidazole–M 2+ Complexes. Macromolecular Rapid Communications. 44(17). e2300077–e2300077. 4 indexed citations
9.
Khare, Eesha, et al.. (2023). Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization. ACS Biomaterials Science & Engineering. 9(7). 4101–4107. 2 indexed citations
10.
Wysokowski, Marcin, et al.. (2023). Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic–Organic Materials. Chemistry of Materials. 35(19). 7878–7903. 34 indexed citations
11.
Khare, Eesha, et al.. (2022). CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach. ACS Biomaterials Science & Engineering. 8(10). 4301–4310. 27 indexed citations
12.
Khare, Eesha, et al.. (2022). Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation. Proceedings of the National Academy of Sciences. 119(40). e2209524119–e2209524119. 27 indexed citations
13.
Pearson, Matthew D. & Eesha Khare. (2022). Addressing the single-use plastic proliferation problem. 3. 1 indexed citations
14.
Yu, Chi‐Hua, Eesha Khare, Om Narayan, et al.. (2021). ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences. Journal of the mechanical behavior of biomedical materials. 125. 104921–104921. 26 indexed citations
15.
Khare, Eesha, Anthony D. DeBellis, Brian J. Orr, et al.. (2021). Role of Methylene Diphenyl Diisocyanate (MDI) Additives on SBS-Modified Asphalt with Improved Thermal Stability and Mechanical Performance. Energy & Fuels. 35(21). 17629–17641. 23 indexed citations
16.
Khare, Eesha, Niels Holten‐Andersen, & Markus J. Buehler. (2021). Transition-metal coordinate bonds for bioinspired macromolecules with tunable mechanical properties. Nature Reviews Materials. 6(5). 421–436. 260 indexed citations breakdown →
17.
Hajiesmaili, Ehsan, Eesha Khare, Alex Chortos, Jennifer A. Lewis, & David R. Clarke. (2019). Voltage-controlled morphing of dielectric elastomer circular sheets into conical surfaces. Extreme Mechanics Letters. 30. 100504–100504. 37 indexed citations
18.
Khare, Eesha, Stephen J. Temple, Ivan V. Tomov, Fenghua Zhang, & Stoyan K. Smoukov. (2018). Low Fatigue Dynamic Auxetic Lattices With 3D Printable, Multistable, and Tuneable Unit Cells. Frontiers in Materials. 5. 36 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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