Parakriti Gupta

75 total papers · 1.2k total citations
40 papers, 252 citations indexed

About

Parakriti Gupta is a scholar working on Infectious Diseases, Epidemiology and Endocrinology. According to data from OpenAlex, Parakriti Gupta has authored 40 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 18 papers in Epidemiology and 7 papers in Endocrinology. Recurrent topics in Parakriti Gupta's work include Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (8 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Parakriti Gupta is often cited by papers focused on Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (8 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Parakriti Gupta collaborates with scholars based in India, United States and Canada. Parakriti Gupta's co-authors include D P Chauhan, Mini P. Singh, K. S. Chugh, Kapil Goyal, Kamran Zaman, Neelam Taneja, Lipika Singhal, Sunil Sethi, Varsha Gupta and Sumeeta Khurana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and Endoscopy.

In The Last Decade

Parakriti Gupta

32 papers receiving 241 citations

Author Peers

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

Author Last Decade Papers Cites
Parakriti Gupta 90 66 43 42 23 40 252
J Prazák 46 0.5× 114 1.7× 34 0.8× 12 0.3× 19 0.8× 29 322
A Wegmann 50 0.6× 85 1.3× 72 1.7× 38 0.9× 11 0.5× 38 330
Jeonghyun Chang 60 0.7× 65 1.0× 29 0.7× 17 0.4× 35 1.5× 49 315
Hasan Selçuk Özger 193 2.1× 65 1.0× 71 1.7× 15 0.4× 15 0.7× 46 330
Mustafa Zahir Bakıcı 64 0.7× 106 1.6× 66 1.5× 20 0.5× 26 1.1× 32 296
Rahul Dhodapkar 108 1.2× 97 1.5× 25 0.6× 21 0.5× 85 3.7× 54 290
Sasipha Tachaboon 89 1.0× 53 0.8× 91 2.1× 7 0.2× 44 1.9× 22 295
Tetsuya Horino 104 1.2× 93 1.4× 41 1.0× 13 0.3× 30 1.3× 28 275
Joana Alves 71 0.8× 70 1.1× 49 1.1× 32 0.8× 10 0.4× 34 274
Yicheng Huang 57 0.6× 47 0.7× 63 1.5× 10 0.2× 9 0.4× 32 223

Countries citing papers authored by Parakriti Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Parakriti Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parakriti Gupta

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