Neha Sawant
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience
- Biological Psychiatry top 10%
- Pharmacology
- Co-authors
- P. Hemachandra ReddyArubala P. ReddySudhir KshirsagarHallie MortonXiangling YinJangampalli Adi PradeepkiranSubodh KumarMurali Vijayan
- Topics
- Alzheimer's disease research and treatments (9 papers)Mitochondrial Function and Pathology (5 papers)Neurological disorders and treatments (3 papers)
- Journals
- Free Radical Biology and MedicineInternational Journal of Molecular SciencesHuman Molecular Genetics
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Neha Sawant
27 papers receiving 462 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 240
- Physiology 191
- Cellular and Molecular Neuroscience 92
- Biological Psychiatry 59
- Pharmacology 56
Countries citing papers authored by Neha Sawant
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 15 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 127 | |
| 13 | 47 | |
| 14 | 46 | |
| 15 | 44 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | ISOLATION AND CHARACTERIZATION OF LEAD METAL RESISTANT BACTERIA FOR ITS PROSPECTS IN BIOREMEDIATION OF CONTAMINATED SOIL | 3 |
| 19 | 19 | |
| 20 | 0 |
About Neha Sawant
Neha Sawant is a scholar working on Biological Psychiatry, Physiology and Neurology, having authored 28 papers that have together received 470 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Mitochondrial Function and Pathology (5 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Physiology (191 citations) and Neurology (56 citations). Neha Sawant has collaborated with scholars based in United States, India and Spain. Frequent co-authors include P. Hemachandra Reddy, Arubala P. Reddy, Sudhir Kshirsagar, Hallie Morton, Xiangling Yin, Jangampalli Adi Pradeepkiran, Subodh Kumar, Murali Vijayan, Mathew George and Abdus Salam. Their work appears in journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Human Molecular Genetics.
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.