Harish Vashisth

1.4k total citations
66 papers, 1.1k citations indexed

About

Harish Vashisth is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Harish Vashisth has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 19 papers in Materials Chemistry and 8 papers in Organic Chemistry. Recurrent topics in Harish Vashisth's work include Protein Structure and Dynamics (22 papers), RNA and protein synthesis mechanisms (15 papers) and Enzyme Structure and Function (9 papers). Harish Vashisth is often cited by papers focused on Protein Structure and Dynamics (22 papers), RNA and protein synthesis mechanisms (15 papers) and Enzyme Structure and Function (9 papers). Harish Vashisth collaborates with scholars based in United States, Germany and United Kingdom. Harish Vashisth's co-authors include Cameron F. Abrams, Charles L. Brooks, Georgios Skiniotis, Richard R. Neubig, Shanshan Cheng, Luca Maragliano, Justin Schilling, Katrin Karbstein, Min Su and Bethany S. Strunk and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Harish Vashisth

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harish Vashisth United States 18 740 249 145 88 88 66 1.1k
Benjamin P. Roberts United States 8 461 0.6× 195 0.8× 71 0.5× 150 1.7× 92 1.0× 9 949
Haibo Sun China 16 385 0.5× 137 0.6× 141 1.0× 44 0.5× 102 1.2× 29 795
Vance Jaeger United States 10 316 0.4× 116 0.5× 149 1.0× 82 0.9× 90 1.0× 17 753
Sebastian Kraszewski France 18 449 0.6× 218 0.9× 328 2.3× 86 1.0× 101 1.1× 46 870
Maciej Długosz Poland 16 514 0.7× 221 0.9× 89 0.6× 54 0.6× 35 0.4× 43 890
Marcin Król Poland 17 456 0.6× 134 0.5× 63 0.4× 117 1.3× 21 0.2× 35 794
Kayla G. Sprenger United States 14 350 0.5× 94 0.4× 135 0.9× 72 0.8× 97 1.1× 34 795
Carolyn A. Fitch United States 13 972 1.3× 317 1.3× 79 0.5× 101 1.1× 30 0.3× 16 1.2k
Symon Gathiaka United States 11 368 0.5× 251 1.0× 119 0.8× 75 0.9× 314 3.6× 20 997
Shyh‐Ming Yang United States 18 308 0.4× 345 1.4× 238 1.6× 248 2.8× 172 2.0× 41 1.2k

Countries citing papers authored by Harish Vashisth

Since Specialization
Citations

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

Fields of papers citing papers by Harish Vashisth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Vashisth

This figure shows the co-authorship network connecting the top 25 collaborators of Harish Vashisth. A scholar is included among the top collaborators of Harish Vashisth 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 Harish Vashisth. Harish Vashisth 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.
Vashisth, Harish, et al.. (2026). Conformational dynamics in insulin receptor kinase reveal a type III allosteric pocket. Protein Science. 35(2). e70455–e70455.
2.
Planalp, Roy P., et al.. (2025). Role of sequence length and functionalization in interactions of bioconjugated peptides with mitomembranes. Biointerphases. 20(1). 1 indexed citations
3.
Verma, Jyoti & Harish Vashisth. (2024). Molecular basis for differential recognition of an allosteric inhibitor by receptor tyrosine kinases. Proteins Structure Function and Bioinformatics. 92(8). 905–922. 2 indexed citations
4.
Planalp, Roy P., et al.. (2024). Interactions and Transport of a Bioconjugated Peptide Targeting the Mitomembrane. Bioconjugate Chemistry. 35(3). 371–380. 2 indexed citations
5.
Verma, Jyoti & Harish Vashisth. (2024). Structural Models for a Series of Allosteric Inhibitors of IGF1R Kinase. International Journal of Molecular Sciences. 25(10). 5368–5368. 1 indexed citations
6.
Cote, Rick, et al.. (2023). Coupling of conformational dynamics and inhibitor binding in the phosphodiesterase‐5 family. Protein Science. 32(8). e4720–e4720. 2 indexed citations
7.
Vashisth, Harish, et al.. (2023). Role of Dynamics and Mutations in Interactions of a Zinc Finger Antiviral Protein with CG-rich Viral RNA. Journal of Chemical Information and Modeling. 63(3). 1002–1011. 6 indexed citations
8.
Vashisth, Harish, et al.. (2023). Structural and computational studies of HIV-1 RNA. RNA Biology. 21(1). 167–198. 6 indexed citations
9.
Stolz, Robert M., et al.. (2022). Epitaxial Self-Assembly of Interfaces of 2D Metal–Organic Frameworks for Electroanalytical Detection of Neurotransmitters. ACS Nano. 16(9). 13869–13883. 28 indexed citations
10.
Varga, Krisztina, et al.. (2022). Molecular interactions and inhibition of the SARS‐CoV‐2 main protease by a thiadiazolidinone derivative. Proteins Structure Function and Bioinformatics. 90(11). 1896–1907. 3 indexed citations
11.
Vashisth, Harish, et al.. (2022). Structural models of viral insulin‐like peptides and their analogs. Proteins Structure Function and Bioinformatics. 91(1). 62–73. 1 indexed citations
12.
Vashisth, Harish, et al.. (2021). Water Dynamics in a Peptide-appended Pillar[5]arene Artificial Channel in Lipid and Biomimetic Membranes. Frontiers in Chemistry. 9. 753635–753635. 3 indexed citations
13.
Feroz, Hasin, Bryan Ferlez, Tingwei Ren, et al.. (2021). Liposome-based measurement of light-driven chloride transport kinetics of halorhodopsin. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1863(8). 183637–183637. 4 indexed citations
14.
Vashisth, Harish, et al.. (2021). Design of Functionalized Lobed Particles for Porous Self-Assemblies. JOM. 73(8). 2413–2422. 4 indexed citations
15.
Vashisth, Harish, et al.. (2021). Role of conformational heterogeneity in ligand recognition by viral RNA molecules. Physical Chemistry Chemical Physics. 23(19). 11211–11223. 7 indexed citations
16.
Vashisth, Harish, Georgios Skiniotis, & Charles L. Brooks. (2014). Collective Variable Approaches for Single Molecule Flexible Fitting and Enhanced Sampling. Chemical Reviews. 114(6). 3353–3365. 20 indexed citations
17.
Vashisth, Harish, Georgios Skiniotis, & Charles L. Brooks. (2012). Using Enhanced Sampling and Structural Restraints to Refine Atomic Structures into Low-Resolution Electron Microscopy Maps. Structure. 20(9). 1453–1462. 38 indexed citations
18.
Vashisth, Harish, Luca Maragliano, & Cameron F. Abrams. (2012). “DFG-Flip” in the Insulin Receptor Kinase Is Facilitated by a Helical Intermediate State of the Activation Loop. Biophysical Journal. 102(8). 1979–1987. 54 indexed citations
19.
Vashisth, Harish & Cameron F. Abrams. (2009). Docking of insulin to a structurally equilibrated insulin receptor ectodomain. Proteins Structure Function and Bioinformatics. 78(6). 1531–1543. 19 indexed citations
20.
Vashisth, Harish & Cameron F. Abrams. (2008). Ligand Escape Pathways and (Un)Binding Free Energy Calculations for the Hexameric Insulin-Phenol Complex. Biophysical Journal. 95(9). 4193–4204. 72 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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