Pooja Sharma

64 total papers · 778 total citations
18 papers, 78 citations indexed

About

Pooja Sharma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Pooja Sharma has authored 18 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Infectious Diseases. Recurrent topics in Pooja Sharma's work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and COVID-19 Clinical Research Studies (2 papers). Pooja Sharma is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and COVID-19 Clinical Research Studies (2 papers). Pooja Sharma collaborates with scholars based in India, United States and United Kingdom. Pooja Sharma's co-authors include Dhruba K. Bhattacharyya, Mohammed Faruq, Shaista Parveen, A Vivekanand, Resham Thapa-Parajuli, Dinesh Raj Bhuju, Uzma Shamim, Achal Kumar Srivastava, Pankaj Hari and Ambrish Mithal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biosensors and Bioelectronics and Journal of the Neurological Sciences.

In The Last Decade

Pooja Sharma

16 papers receiving 77 citations

Author Peers

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

Author						Papers	Cites
Pooja Sharma	43	25	16	11	8	18	78
Hiroshi Nakazora	42 1.0×	8 0.3×	42 2.6×	8 0.7×	5 0.6×	18	117
Ashwin Venkatesh	39 0.9×	11 0.4×	30 1.9×	13 1.2×	3 0.4×	16	220
John D. Hong	126 2.9×	42 1.7×	33 2.1×	7 0.6×	2 0.3×	12	226
Luca Giudice	64 1.5×	13 0.5×	12 0.8×	15 1.4×	4 0.5×	15	129
Keaton Karlinsey	25 0.6×	9 0.4×	5 0.3×	5 0.5×	7 0.9×	11	92
Marianna Pezzella	57 1.3×	33 1.3×	52 3.3×	6 0.5×	12 1.5×	15	217
Yu Chen	51 1.2×	6 0.2×	5 0.3×	7 0.6×	5 0.6×	20	215
Tomoya Asaka	138 3.2×	42 1.7×	22 1.4×	6 0.5×	11 1.4×	14	228
Shoichiro Kawasaki	25 0.6×	43 1.7×	46 2.9×	13 1.2×	1 0.1×	19	123
Akın Nihat	122 2.8×	8 0.3×	33 2.1×	6 0.5×	5 0.6×	18	223

Countries citing papers authored by Pooja Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Pooja Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Sharma

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