Krishna C. Vadodaria
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 1%
- Biomaterials top 5%
- Co-authors
- Sebastian JessbergerFred H. GagePraful S. SingruM.R. SawayaPaul E. SawchenkoK. Peter R. NilssonRobert A. RissmanJean Rivier
- Topics
- Neurogenesis and neuroplasticity mechanisms (10 papers)Pluripotent Stem Cells Research (8 papers)Neuroscience and Neural Engineering (8 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Krishna C. Vadodaria
29 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.2k
- Physiology 569
- Cellular and Molecular Neuroscience 524
- Developmental Neuroscience 367
- Biomaterials 220
Countries citing papers authored by Krishna C. Vadodaria
This map shows the geographic impact of Krishna C. Vadodaria'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 Krishna C. Vadodaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna C. Vadodaria more than expected).
Fields of papers citing papers by Krishna C. Vadodaria
This network shows the impact of papers produced by Krishna C. Vadodaria. 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 Krishna C. Vadodaria. The network helps show where Krishna C. Vadodaria may publish in the future.
Co-authorship network of co-authors of Krishna C. Vadodaria
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna C. Vadodaria. A scholar is included among the top collaborators of Krishna C. Vadodaria 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 Krishna C. Vadodaria. Krishna C. Vadodaria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 33 | |
| 4 | 26 | |
| 5 | 70 | |
| 6 | 57 | |
| 7 | 45 | |
| 8 | 33 | |
| 9 | 140 | |
| 10 | 30 | |
| 11 | 100 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 27 | |
| 15 | 42 | |
| 16 | 67 | |
| 17 | 19 | |
| 18 | 78 | |
| 19 | Functional Amyloids As Natural Storage of Peptide Hormones in Pituitary Secretory Granulesbreakdown → | 872 |
| 20 | 159 |
About Krishna C. Vadodaria
Krishna C. Vadodaria is a scholar working on Developmental Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Pluripotent Stem Cells Research (8 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Developmental Neuroscience (367 citations), Biological Psychiatry (194 citations) and Behavioral Neuroscience (206 citations). Krishna C. Vadodaria has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sebastian Jessberger, Fred H. Gage, Praful S. Singru, M.R. Sawaya, Paul E. Sawchenko, K. Peter R. Nilsson, Robert A. Rissman, Jean Rivier, Roland Riek and Rozalyn Simon. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.