Deepika Awasthi

62 total papers · 1.2k total citations
29 papers, 789 citations indexed

About

Deepika Awasthi is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Deepika Awasthi has authored 29 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 12 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Deepika Awasthi's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Nitric Oxide and Endothelin Effects (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Deepika Awasthi is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Nitric Oxide and Endothelin Effects (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Deepika Awasthi collaborates with scholars based in India, United States and Spain. Deepika Awasthi's co-authors include Madhu Dikshit, Sheela Nagarkoti, Tulika Chandra, Megha Dubey, Abhishek Kumar Singh, Manoj Kumar Barthwal, Sachin Kumar, Kumaravelu Jagavelu, Priya Pathak and Amit Kumar and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Deepika Awasthi

28 papers receiving 781 citations

Author Peers

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

Author Last Decade Papers Cites
Deepika Awasthi 349 303 119 75 67 29 789
Xingxing Zhu 259 0.7× 281 0.9× 74 0.6× 50 0.7× 63 0.9× 46 856
Seyed Mohammad Gheibihayat 210 0.6× 274 0.9× 75 0.6× 54 0.7× 44 0.7× 43 759
Silvana Sandri 201 0.6× 387 1.3× 85 0.7× 103 1.4× 66 1.0× 35 790
Annalaura Mastrangelo 234 0.7× 412 1.4× 199 1.7× 153 2.0× 45 0.7× 16 880
Daniel Crean 315 0.9× 317 1.0× 67 0.6× 109 1.5× 50 0.7× 33 877
Hsin‐Yu Fang 234 0.7× 254 0.8× 64 0.5× 61 0.8× 59 0.9× 33 775
Patrizia Dapino 429 1.2× 230 0.8× 145 1.2× 68 0.9× 68 1.0× 41 884
Hyun‐Mi Ko 181 0.5× 272 0.9× 90 0.8× 29 0.4× 45 0.7× 32 633
F. Braut‐Boucher 255 0.7× 308 1.0× 119 1.0× 44 0.6× 44 0.7× 24 675
Zigang Shen 256 0.7× 223 0.7× 98 0.8× 81 1.1× 25 0.4× 22 653

Countries citing papers authored by Deepika Awasthi

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Awasthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Awasthi

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Awasthi. A scholar is included among the top collaborators of Deepika Awasthi 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 Deepika Awasthi. Deepika Awasthi 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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2026