Pragati Kushwaha

31 total papers · 457 total citations
22 papers, 364 citations indexed

About

Pragati Kushwaha is a scholar working on Organic Chemistry, Molecular Biology and Epidemiology. According to data from OpenAlex, Pragati Kushwaha has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organic Chemistry, 9 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Pragati Kushwaha's work include Synthesis and Biological Evaluation (7 papers), Synthesis and biological activity (4 papers) and Trypanosoma species research and implications (3 papers). Pragati Kushwaha is often cited by papers focused on Synthesis and Biological Evaluation (7 papers), Synthesis and biological activity (4 papers) and Trypanosoma species research and implications (3 papers). Pragati Kushwaha collaborates with scholars based in India, Poland and United Kingdom. Pragati Kushwaha's co-authors include Koneni V. Sashidhara, Sampa Gupta, Mohammad Imran Siddiqi, K. Bhaskara Rao, Ram K. Modukuri, Praveen Kumar Shukla, Neena Goyal, Ruchir Kant, Pratiksha Singh and Mukesh Pasupuleti and has published in prestigious journals such as Journal of Medicinal Chemistry, Tetrahedron and European Journal of Medicinal Chemistry.

In The Last Decade

Pragati Kushwaha

19 papers receiving 362 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pragati Kushwaha 263 106 67 46 43 22 364
Mariana Bastos dos Santos 180 0.7× 127 1.2× 54 0.8× 57 1.2× 42 1.0× 23 377
Marcos V. Palmeira‐Mello 216 0.8× 70 0.7× 72 1.1× 28 0.6× 28 0.7× 28 391
Edson F. da Silva 259 1.0× 91 0.9× 69 1.0× 81 1.8× 20 0.5× 23 343
Elżbieta Hejchman 208 0.8× 86 0.8× 23 0.3× 34 0.7× 65 1.5× 26 341
Georgeta Serban 289 1.1× 91 0.9× 27 0.4× 16 0.3× 25 0.6× 15 359
Manish Sharma 181 0.7× 72 0.7× 69 1.0× 13 0.3× 27 0.6× 14 323
Luiz Antônio Dutra 191 0.7× 114 1.1× 72 1.1× 58 1.3× 58 1.3× 23 400
Monique Araújo de Brito 164 0.6× 83 0.8× 41 0.6× 28 0.6× 48 1.1× 29 321
Anu Rani 193 0.7× 106 1.0× 41 0.6× 13 0.3× 34 0.8× 26 311
José Wanderlan Pontes Espíndola 273 1.0× 85 0.8× 149 2.2× 131 2.8× 14 0.3× 12 383

Countries citing papers authored by Pragati Kushwaha

Since Specialization
Citations

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

Fields of papers citing papers by Pragati Kushwaha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragati Kushwaha

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

All Works

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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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