Shiv Swaroop

977 total citations · 1 hit paper
9 papers, 597 citations indexed

About

Shiv Swaroop is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shiv Swaroop has authored 9 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shiv Swaroop's work include Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Graphene and Nanomaterials Applications (2 papers). Shiv Swaroop is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Graphene and Nanomaterials Applications (2 papers). Shiv Swaroop collaborates with scholars based in India, Ireland and France. Shiv Swaroop's co-authors include Manish Gaur, Mikhaël Bechelany, Awadh Bihari Yadav, Ahmed Barhoum, Devesh Tewari, Vancha Harish, Charu Misra, Gurunath Ramanathan, Alok Jain and Janmejay Pandey and has published in prestigious journals such as Biochemistry, Journal of Hazardous Materials and Tetrahedron Letters.

In The Last Decade

Shiv Swaroop

9 papers receiving 588 citations

Hit Papers

Review on Nanoparticles and Nanostructured Materials: Bio... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Swaroop India 7 290 207 133 116 52 9 597
Shazia Tanvir Canada 9 201 0.7× 158 0.8× 138 1.0× 110 0.9× 44 0.8× 12 469
Jiya Jose India 19 297 1.0× 313 1.5× 201 1.5× 134 1.2× 72 1.4× 56 933
Hao Bao-qing China 7 485 1.7× 194 0.9× 125 0.9× 80 0.7× 51 1.0× 8 675
Francisco José dos Santos Brazil 8 184 0.6× 155 0.7× 98 0.7× 85 0.7× 48 0.9× 21 512
Erasmo Orrantia‐Borunda Mexico 15 349 1.2× 243 1.2× 62 0.5× 111 1.0× 40 0.8× 43 731
Esraa Samy Abu Serea Egypt 11 301 1.0× 241 1.2× 137 1.0× 95 0.8× 106 2.0× 14 611
Haiming Li China 16 307 1.1× 212 1.0× 78 0.6× 136 1.2× 84 1.6× 51 681
Nadeem Joudeh Norway 5 478 1.6× 332 1.6× 184 1.4× 152 1.3× 66 1.3× 8 966
Manish Gaur India 4 362 1.2× 245 1.2× 157 1.2× 97 0.8× 69 1.3× 6 673
Consuelo Celesti Italy 17 313 1.1× 295 1.4× 115 0.9× 149 1.3× 117 2.3× 41 694

Countries citing papers authored by Shiv Swaroop

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Swaroop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Swaroop

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Swaroop. A scholar is included among the top collaborators of Shiv Swaroop 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 Shiv Swaroop. Shiv Swaroop 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.
Globisch, Christoph, et al.. (2022). Structural basis of Omicron immune evasion: A comparative computational study. Computers in Biology and Medicine. 147. 105758–105758. 8 indexed citations
2.
Harish, Vancha, Devesh Tewari, Manish Gaur, et al.. (2022). Review on Nanoparticles and Nanostructured Materials: Bioimaging, Biosensing, Drug Delivery, Tissue Engineering, Antimicrobial, and Agro-Food Applications. Nanomaterials. 12(3). 457–457. 335 indexed citations breakdown →
3.
Pandey, Janmejay, et al.. (2021). In silico design of multi-epitope-based peptide vaccine against SARS-CoV-2 using its spike protein. Journal of Biomolecular Structure and Dynamics. 40(11). 5189–5202. 14 indexed citations
5.
Gaur, Manish, Charu Misra, Awadh Bihari Yadav, et al.. (2021). Biomedical Applications of Carbon Nanomaterials: Fullerenes, Quantum Dots, Nanotubes, Nanofibers, and Graphene. Materials. 14(20). 5978–5978. 160 indexed citations
6.
Mallajosyula, Vamsee, Shiv Swaroop, & Raghavan Varadarajan. (2020). Influenza Hemagglutinin Head Domain Mimicry by Rational Design. The Protein Journal. 39(5). 434–448. 2 indexed citations
7.
Tripathi, Arti, Shiv Swaroop, & Raghavan Varadarajan. (2019). Molecular Determinants of Temperature-Sensitive Phenotypes. Biochemistry. 58(13). 1738–1750. 4 indexed citations
8.
Mondal, Sudipta, Shiv Swaroop, Gurunath Ramanathan, & Sandeep Verma. (2010). A synthetic ditryptophan conjugate that rescues bacteria from mercury toxicity through complexation. Tetrahedron Letters. 51(47). 6111–6115. 10 indexed citations
9.
Swaroop, Shiv, et al.. (2009). Biomineralization of N,N-dimethylformamide by Paracoccus sp. strain DMF. Journal of Hazardous Materials. 171(1-3). 268–272. 58 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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