Neha Sawant

52 total papers · 783 total citations
28 papers, 454 citations indexed

About

Neha Sawant is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Neha Sawant has authored 28 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Neha Sawant's work include Alzheimer's disease research and treatments (9 papers), Mitochondrial Function and Pathology (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Neha Sawant is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Mitochondrial Function and Pathology (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Neha Sawant collaborates with scholars based in United States, India and Spain. Neha Sawant's co-authors include P. Hemachandra Reddy, Arubala P. Reddy, Sudhir Kshirsagar, Hallie Morton, Xiangling Yin, Subodh Kumar, Jangampalli Adi Pradeepkiran, Murali Vijayan, Mathew George and Harinder Singh and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Human Molecular Genetics.

In The Last Decade

Neha Sawant

26 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Neha Sawant	234	189	88	58	56	28	454
Ian Weidling	308 1.3×	251 1.3×	55 0.6×	55 0.9×	45 0.8×	15	485
Anna Fracassi	180 0.8×	243 1.3×	113 1.3×	55 0.9×	53 0.9×	26	509
Dan Miao	212 0.9×	252 1.3×	82 0.9×	64 1.1×	49 0.9×	33	545
Helena Passarelli Giroud Joaquim	149 0.6×	188 1.0×	70 0.8×	75 1.3×	56 1.0×	36	474
Hsin‐Hua Li	186 0.8×	234 1.2×	107 1.2×	24 0.4×	53 0.9×	26	541
Francesca Natale	214 0.9×	237 1.3×	87 1.0×	27 0.5×	39 0.7×	21	489
Kenji Suzuki	154 0.7×	202 1.1×	63 0.7×	37 0.6×	39 0.7×	24	422
Xubo Li	191 0.8×	104 0.6×	99 1.1×	39 0.7×	39 0.7×	36	513
Michiko Sekiya	203 0.9×	274 1.4×	119 1.4×	34 0.6×	70 1.3×	19	485
Ana Maria Orellana	233 1.0×	117 0.6×	118 1.3×	29 0.5×	42 0.8×	23	532

Countries citing papers authored by Neha Sawant

Since Specialization

Citations

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

Fields of papers citing papers by Neha Sawant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Sawant

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