Ashwini Mokashi
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Physiology
- Biochemistry top 10%
- Co-authors
- Richard A. HawkinsIan A. SimpsonM. Regina DeJosephMark S. BrownfieldJanice H. UrbanJuan R. VinãRobyn L. O’KaneRosa Zaragozá
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Amino Acid Enzymes and Metabolism (5 papers)Drug Transport and Resistance Mechanisms (3 papers)
- Journals
- The Journal of Comparative NeurologyFEBS LettersAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Ashwini Mokashi
12 papers receiving 420 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 168
- Molecular Biology 120
- Endocrine and Autonomic Systems 107
- Physiology 79
- Biochemistry 62
Countries citing papers authored by Ashwini Mokashi
This map shows the geographic impact of Ashwini Mokashi'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 Ashwini Mokashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwini Mokashi more than expected).
Fields of papers citing papers by Ashwini Mokashi
This network shows the impact of papers produced by Ashwini Mokashi. 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 Ashwini Mokashi. The network helps show where Ashwini Mokashi may publish in the future.
Co-authorship network of co-authors of Ashwini Mokashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwini Mokashi. A scholar is included among the top collaborators of Ashwini Mokashi 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 Ashwini Mokashi. Ashwini Mokashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Synergism between the Two Membranes of the Blood-brain Barrier: Glucose and Amino Acid Transport | 7 |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 74 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 85 | |
| 11 | 42 | |
| 12 | 169 |
About Ashwini Mokashi
Ashwini Mokashi is a scholar working on Biochemistry, Pharmaceutical Science and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 423 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Behavioral Neuroscience (34 citations) and Cellular and Molecular Neuroscience (168 citations). Ashwini Mokashi has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Richard A. Hawkins, Ian A. Simpson, M. Regina DeJoseph, Mark S. Brownfield, Janice H. Urban, Juan R. Vinã, Robyn L. O’Kane, Rosa Zaragozá, Kavi Devraj and Roland L. Myers. Their work appears in journals such as The Journal of Comparative Neurology, FEBS Letters and American Journal of Physiology-Endocrinology and Metabolism.
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.