Amol Pawar

1.8k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Amol Pawar is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Amol Pawar has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Amol Pawar's work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Prion Diseases and Protein Misfolding (3 papers). Amol Pawar is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Prion Diseases and Protein Misfolding (3 papers). Amol Pawar collaborates with scholars based in United Kingdom, Italy and Germany. Amol Pawar's co-authors include Christopher M. Dobson, Michele Vendruscolo, Fabrizio Chiti, Jesús Zurdo, Gian Gaetano Tartaglia, Silvia Campioni, Ann‐Christin Brorsson, Leila M. Luheshi, David A. Lomas and Damian C. Crowther and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and PLoS Biology.

In The Last Decade

Amol Pawar

9 papers receiving 1.5k citations

Hit Papers

Prediction of “Aggregation-prone” and “Aggregation-suscep... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amol Pawar United Kingdom 7 1.2k 798 246 214 156 9 1.5k
Luke Rajah United Kingdom 9 962 0.8× 994 1.2× 137 0.6× 281 1.3× 76 0.5× 9 1.5k
Manuela López de la Paz Germany 16 1.5k 1.3× 826 1.0× 301 1.2× 409 1.9× 100 0.6× 24 1.9k
Francesco Bemporad Italy 19 939 0.8× 628 0.8× 233 0.9× 130 0.6× 191 1.2× 45 1.2k
Angela D. Williams United States 15 1.6k 1.4× 1.3k 1.7× 172 0.7× 374 1.7× 91 0.6× 27 2.1k
Masatomo So Japan 21 935 0.8× 776 1.0× 192 0.8× 194 0.9× 71 0.5× 58 1.4k
Jesper Søndergaard Pedersen Denmark 15 830 0.7× 467 0.6× 167 0.7× 133 0.6× 120 0.8× 17 1.3k
William Garzon-Rodriguez United States 12 758 0.7× 775 1.0× 64 0.3× 110 0.5× 62 0.4× 12 1.4k
Maria F. Mossuto Italy 14 821 0.7× 504 0.6× 226 0.9× 127 0.6× 161 1.0× 16 1.1k
Brian O’Nuallain United States 17 1.0k 0.9× 1.2k 1.5× 69 0.3× 217 1.0× 92 0.6× 22 1.6k
Maja Debulpaep Belgium 8 723 0.6× 629 0.8× 99 0.4× 141 0.7× 79 0.5× 10 1.1k

Countries citing papers authored by Amol Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Amol Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Pawar

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

All Works

9 of 9 papers shown
1.
Pawar, Amol, et al.. (2016). Prolactin level in umbilical cord blood of newborn and its relation to respiratory distress syndrome. International Journal of Reproduction Contraception Obstetrics and Gynecology. 6(2). 433–433. 3 indexed citations
2.
Hamada, Daizo, Toshiki Tanaka, Gian Gaetano Tartaglia, et al.. (2008). Competition between Folding, Native-State Dimerisation and Amyloid Aggregation in β-Lactoglobulin. Journal of Molecular Biology. 386(3). 878–890. 70 indexed citations
3.
Tartaglia, Gian Gaetano, Amol Pawar, Silvia Campioni, et al.. (2008). Prediction of Aggregation-Prone Regions in Structured Proteins. Journal of Molecular Biology. 380(2). 425–436. 354 indexed citations
4.
Rivers, Robert, Janet R. Kumita, Gian Gaetano Tartaglia, et al.. (2008). Molecular determinants of the aggregation behavior of α‐ and β‐synuclein. Protein Science. 17(5). 887–898. 85 indexed citations
5.
Pawar, Amol & Giorgio Favrin. (2008). Finite Size Effects in Simulations of Protein Aggregation. PLoS ONE. 3(7). e2641–e2641. 6 indexed citations
6.
Meinhardt, Jessica, Gian Gaetano Tartaglia, Amol Pawar, et al.. (2007). Similarities in the thermodynamics and kinetics of aggregation of disease‐related Aβ(1–40) peptides. Protein Science. 16(6). 1214–1222. 46 indexed citations
7.
Luheshi, Leila M., Gian Gaetano Tartaglia, Ann‐Christin Brorsson, et al.. (2007). Systematic In Vivo Analysis of the Intrinsic Determinants of Amyloid β Pathogenicity. PLoS Biology. 5(11). e290–e290. 157 indexed citations
8.
Pawar, Amol, et al.. (2005). Prediction of “Aggregation-prone” and “Aggregation-susceptible” Regions in Proteins Associated with Neurodegenerative Diseases. Journal of Molecular Biology. 350(2). 379–392. 505 indexed citations breakdown →
9.
Pawar, Amol, et al.. (2004). Prediction of the Absolute Aggregation Rates of Amyloidogenic Polypeptide Chains. Journal of Molecular Biology. 341(5). 1317–1326. 270 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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