Pooja Patel

45 total papers · 652 total citations
22 papers, 463 citations indexed

About

Pooja Patel is a scholar working on Pediatrics, Perinatology and Child Health, Education and Cell Biology. According to data from OpenAlex, Pooja Patel has authored 22 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 3 papers in Education and 2 papers in Cell Biology. Recurrent topics in Pooja Patel's work include Plant Physiology and Cultivation Studies (2 papers), Online and Blended Learning (1 paper) and Signaling Pathways in Disease (1 paper). Pooja Patel is often cited by papers focused on Plant Physiology and Cultivation Studies (2 papers), Online and Blended Learning (1 paper) and Signaling Pathways in Disease (1 paper). Pooja Patel collaborates with scholars based in India, United States and Australia. Pooja Patel's co-authors include T. V. Ramana Rao, Neeta B. Gol, Hiren Patel, Patricio S Espinosa, Glenn Melvin, Melissa R. Dvorsky, Cristina McKean, Joshua M. Langberg, Naomi J. Hackworth and Elizabeth Westrupp and has published in prestigious journals such as Postharvest Biology and Technology, Frontiers in Neurology and Microbiology Spectrum.

In The Last Decade

Pooja Patel

16 papers receiving 443 citations

Hit Papers

Improvement of quality an... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Pooja Patel 299 257 154 113 28 22 463
Mohammad Reza Sanjabi 150 0.5× 62 0.2× 194 1.3× 72 0.6× 69 2.5× 29 456
Mohamed Abdelbaset Salama 140 0.5× 140 0.5× 123 0.8× 58 0.5× 19 0.7× 37 425
Nima Azarakhsh 219 0.7× 259 1.0× 199 1.3× 68 0.6× 38 1.4× 12 412
Aktsar Roskiana Ahmad 157 0.5× 73 0.3× 93 0.6× 33 0.3× 52 1.9× 33 445
Claire I. G. L. Sarantópoulos 253 0.8× 260 1.0× 193 1.3× 77 0.7× 41 1.5× 21 513
Mehmet Burak Büyükcan 228 0.8× 142 0.6× 181 1.2× 95 0.8× 49 1.8× 18 530
María Roberta Ansorena 195 0.7× 245 1.0× 208 1.4× 103 0.9× 46 1.6× 21 525
Poliana Cristina Spricigo 308 1.0× 173 0.7× 162 1.1× 115 1.0× 52 1.9× 36 510
Bernard Maringgal 244 0.8× 235 0.9× 146 0.9× 71 0.6× 23 0.8× 20 504
María E. Latorre 111 0.4× 63 0.2× 202 1.3× 75 0.7× 58 2.1× 22 428

Countries citing papers authored by Pooja Patel

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Patel. A scholar is included among the top collaborators of Pooja Patel 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 Pooja Patel. Pooja Patel 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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