Puneet Rawat

762 total citations
27 papers, 424 citations indexed

About

Puneet Rawat is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Puneet Rawat has authored 27 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Infectious Diseases. Recurrent topics in Puneet Rawat's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein Structure and Dynamics (8 papers) and vaccines and immunoinformatics approaches (7 papers). Puneet Rawat is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Protein Structure and Dynamics (8 papers) and vaccines and immunoinformatics approaches (7 papers). Puneet Rawat collaborates with scholars based in India, Japan and Norway. Puneet Rawat's co-authors include M. Michael Gromiha, Sandeep Kumar, A. Mary Thangakani, Divya Sharma, Victor Greiff, Sherlyn Jemimah, Janakiraman Vani, Rahmad Akbar, P. K. Ponnuswamy and Philippe A. Robert and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Puneet Rawat

25 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puneet Rawat India 13 331 152 65 65 47 27 424
Nicholas Marze United States 6 447 1.4× 267 1.8× 28 0.4× 31 0.5× 49 1.0× 7 595
Jinle Tang China 10 215 0.6× 56 0.4× 165 2.5× 126 1.9× 32 0.7× 20 521
Shinji Soga Japan 7 324 1.0× 169 1.1× 31 0.5× 91 1.4× 7 0.1× 15 416
Isaure Chauvot de Beauchêne France 12 285 0.9× 50 0.3× 21 0.3× 52 0.8× 11 0.2× 27 396
Emily K. Makowski United States 15 347 1.0× 357 2.3× 71 1.1× 13 0.2× 17 0.4× 22 480
Jordan R. Willis United States 13 339 1.0× 289 1.9× 56 0.9× 24 0.4× 13 0.3× 17 658
Hristo L. Svilenov Germany 14 327 1.0× 203 1.3× 27 0.4× 23 0.4× 6 0.1× 31 401
Quinlin Hanson United States 5 132 0.4× 99 0.7× 63 1.0× 41 0.6× 10 0.2× 8 210
Renate Sekul Germany 7 274 0.8× 54 0.4× 35 0.5× 57 0.9× 9 0.2× 7 345
Maria G. Prado United States 8 150 0.5× 29 0.2× 43 0.7× 19 0.3× 23 0.5× 11 375

Countries citing papers authored by Puneet Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Puneet Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneet Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Rawat. A scholar is included among the top collaborators of Puneet Rawat 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 Puneet Rawat. Puneet Rawat 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.
Rawat, Puneet, Divya Sharma, Venkata S. Mandala, et al.. (2025). Investigating Local Sequence‐Structural Attributes of Amyloidogenic Light Chain Variable Domains. Proteins Structure Function and Bioinformatics. 93(9). 1451–1464. 1 indexed citations
2.
Rawat, Puneet, et al.. (2025). YAbS: The Antibody Society’s antibody therapeutics database. mAbs. 17(1). 2468845–2468845. 3 indexed citations
3.
Sørensen, Christoffer V., Puneet Rawat, Anne Ljungars, et al.. (2024). ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns. Bioinformatics Advances. 4(1). vbae020–vbae020. 1 indexed citations
4.
Smorodina, Eva, Rahmad Akbar, Maria Chernigovskaya, et al.. (2024). Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability. Communications Biology. 7(1). 922–922. 10 indexed citations
5.
Rawat, Puneet, et al.. (2024). Publisher Correction: Adaptive immune receptor repertoire analysis. Nature Reviews Methods Primers. 4(1). 1 indexed citations
6.
Rawat, Puneet, et al.. (2024). Adaptive immune receptor repertoire analysis. Nature Reviews Methods Primers. 4(1). 13 indexed citations
7.
Sharma, Divya, Puneet Rawat, Victor Greiff, Janakiraman Vani, & M. Michael Gromiha. (2023). Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166959–166959. 6 indexed citations
8.
Khan, Asif, Alexander I. Cowen-Rivers, Philippe A. Robert, et al.. (2023). Toward real-world automated antibody design with combinatorial Bayesian optimization. Cell Reports Methods. 3(1). 100374–100374. 26 indexed citations
9.
Akbar, Rahmad, Puneet Rawat, Philippe A. Robert, et al.. (2022). Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs. 14(1). 2008790–2008790. 73 indexed citations
10.
Rawat, Puneet, et al.. (2022). Understanding the mutational frequency in SARS-CoV-2 proteome using structural features. Computers in Biology and Medicine. 147. 105708–105708. 6 indexed citations
11.
Rawat, Puneet, et al.. (2022). Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies. Bioinformatics. 38(16). 4051–4052. 5 indexed citations
12.
Rawat, Puneet, et al.. (2021). AbsoluRATE: An in-silico method to predict the aggregation kinetics of native proteins. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1869(9). 140682–140682. 10 indexed citations
13.
Rawat, Puneet, Divya Sharma, Ambuj Srivastava, Janakiraman Vani, & M. Michael Gromiha. (2021). Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies. Scientific Reports. 11(1). 10220–10220. 10 indexed citations
14.
Rawat, Puneet, et al.. (2021). Exploring the sequence features determining amyloidosis in human antibody light chains. Scientific Reports. 11(1). 13785–13785. 22 indexed citations
15.
Rawat, Puneet, et al.. (2021). Effect of charged mutation on aggregation of a pentapeptide: Insights from molecular dynamics simulations. Proteins Structure Function and Bioinformatics. 90(2). 405–417. 4 indexed citations
16.
Sharma, Divya, Puneet Rawat, Janakiraman Vani, & M. Michael Gromiha. (2021). Elucidating important structural features for the binding affinity of spike ‐ SARS‐CoV‐2 neutralizing antibody complexes. Proteins Structure Function and Bioinformatics. 90(3). 824–834. 17 indexed citations
17.
Jemimah, Sherlyn, et al.. (2021). A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19. Scientific Reports. 11(1). 24073–24073. 14 indexed citations
18.
Rawat, Puneet, et al.. (2020). ANuPP: A Versatile Tool to Predict Aggregation Nucleating Regions in Peptides and Proteins. Journal of Molecular Biology. 433(11). 166707–166707. 39 indexed citations
19.
Rawat, Puneet, Sherlyn Jemimah, P. K. Ponnuswamy, & M. Michael Gromiha. (2020). Why are ACE2 binding coronavirus strains SARS‐CoV / SARS‐CoV ‐2 wild and NL63 mild?. Proteins Structure Function and Bioinformatics. 89(4). 389–398. 26 indexed citations
20.
Sharma, Monica, et al.. (2015). Denovo Designing, Virtual Screening and Lead Optimization of Potential Drug Candidate for Herpes Disease. Journal of Microbial & Biochemical Technology. 7(6).

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nicholas Marze Breakdown of academic impact, for papers by Jinle Tang Breakdown of academic impact, for papers by Shinji Soga Breakdown of academic impact, for papers by Isaure Chauvot de Beauchêne Breakdown of academic impact, for papers by Emily K. Makowski Breakdown of academic impact, for papers by Jordan R. Willis Breakdown of academic impact, for papers by Hristo L. Svilenov Breakdown of academic impact, for papers by Quinlin Hanson Breakdown of academic impact, for papers by Renate Sekul Breakdown of academic impact, for papers by Maria G. Prado
Rankless by CCL
2026