Shiv K. Sharma
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 10%
- Physiology
- Pharmacology top 10%
- Co-authors
- Thomas CarewMartha W. BagnallMichael A. SuttonPhilip S. PortogheseJustin L. ShobeRobert M. JonesCarolyn M. SherffMary M. Lunzer
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Neurobiology and Insect Physiology Research (6 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shiv K. Sharma
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 861
- Cognitive Neuroscience 163
- Physiology 157
- Pharmacology 126
Countries citing papers authored by Shiv K. Sharma
This map shows the geographic impact of Shiv K. 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 Shiv K. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiv K. Sharma more than expected).
Fields of papers citing papers by Shiv K. Sharma
This network shows the impact of papers produced by Shiv K. 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 Shiv K. Sharma. The network helps show where Shiv K. Sharma may publish in the future.
Co-authorship network of co-authors of Shiv K. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shiv K. Sharma. A scholar is included among the top collaborators of Shiv K. 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 Shiv K. Sharma. Shiv K. Sharma 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 | Efficacy of bio-pesticides against fall armyworm, Spodoptera frugiperda under laboratory condition | 1 |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 2 | |
| 7 | A study on babesiosis in HF cattle | 0 |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 36 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 58 | |
| 15 | 39 | |
| 16 | 20 | |
| 17 | 98 | |
| 18 | 25 | |
| 19 | 14 | |
| 20 | Histopathological aberration in fish skeletal muscle during induced starvation. | 1 |
About Shiv K. Sharma
Shiv K. Sharma is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (861 citations), Developmental Neuroscience (74 citations) and Neurology (125 citations). Shiv K. Sharma has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Thomas Carew, Martha W. Bagnall, Michael A. Sutton, Philip S. Portoghese, Justin L. Shobe, Robert M. Jones, Carolyn M. Sherff, Mary M. Lunzer, Maria Waldhoer and Patrick M. Woster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.