Neha Sharma

194 total papers · 2.4k total citations
101 papers, 1.8k citations indexed

About

Neha Sharma is a scholar working on Complementary and alternative medicine, Physiology and Molecular Biology. According to data from OpenAlex, Neha Sharma has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Complementary and alternative medicine, 17 papers in Physiology and 14 papers in Molecular Biology. Recurrent topics in Neha Sharma's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Alzheimer's disease research and treatments (10 papers). Neha Sharma is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Alzheimer's disease research and treatments (10 papers). Neha Sharma collaborates with scholars based in India, United States and Australia. Neha Sharma's co-authors include Bimla Nehru, Navneet Khurana, Manish Vyas, Anil Kumar, Jitendriya Mishra, Harikesh Kalonia, Rakesh Kumar, Rajan Kumar, Meenu Mehta and Saurabh Satija and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Brain Research.

In The Last Decade

Neha Sharma

94 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Neha Sharma 466 339 257 254 234 101 1.8k
Hala F. Zaki 542 1.2× 312 0.9× 166 0.6× 200 0.8× 277 1.2× 100 1.8k
Aaron H. Burstein 544 1.2× 484 1.4× 391 1.5× 282 1.1× 202 0.9× 61 2.3k
Madhavan Nampoothiri 553 1.2× 272 0.8× 221 0.9× 209 0.8× 176 0.8× 80 1.8k
Shamsher Singh 820 1.8× 481 1.4× 255 1.0× 226 0.9× 289 1.2× 136 2.3k
Jin Gyu Choi 509 1.1× 442 1.3× 296 1.2× 262 1.0× 173 0.7× 59 1.7k
Md. Jakaria 881 1.9× 327 1.0× 302 1.2× 169 0.7× 221 0.9× 66 2.0k
Shofiul Azam 634 1.4× 279 0.8× 290 1.1× 129 0.5× 230 1.0× 46 1.6k
Lin Li 729 1.6× 181 0.5× 299 1.2× 168 0.7× 194 0.8× 109 2.0k
Keiichi Irie 363 0.8× 275 0.8× 322 1.3× 465 1.8× 354 1.5× 71 1.8k
Gulrana Khuwaja 424 0.9× 323 1.0× 293 1.1× 235 0.9× 179 0.8× 49 1.6k

Countries citing papers authored by Neha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Neha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Sharma

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