Arun S. Dabholkar
- Cognitive Neuroscience top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- Peter R. HuttenlocherWayne W. CarmichaelKazuo OgawaJennifer B. PresleyChristine A. CurcioMark JohnsonJiahn-Dar HuangMelissa F. Chimento
- Topics
- Peroxisome Proliferator-Activated Receptors (3 papers)Metabolism and Genetic Disorders (3 papers)Amino Acid Enzymes and Metabolism (2 papers)
- Journals
- The Journal of Comparative NeurologyAnnals of the New York Academy of SciencesCellular and Molecular Life Sciences
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Arun S. Dabholkar
15 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 1.2k
- Pediatrics, Perinatology and Child Health 401
- Cellular and Molecular Neuroscience 384
- Radiology, Nuclear Medicine and Imaging 312
- Molecular Biology 299
Countries citing papers authored by Arun S. Dabholkar
This map shows the geographic impact of Arun S. Dabholkar'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 Arun S. Dabholkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun S. Dabholkar more than expected).
Fields of papers citing papers by Arun S. Dabholkar
This network shows the impact of papers produced by Arun S. Dabholkar. 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 Arun S. Dabholkar. The network helps show where Arun S. Dabholkar may publish in the future.
Co-authorship network of co-authors of Arun S. Dabholkar
This figure shows the co-authorship network connecting the top 25 collaborators of Arun S. Dabholkar. A scholar is included among the top collaborators of Arun S. Dabholkar 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 Arun S. Dabholkar. Arun S. Dabholkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | Regional differences in synaptogenesis in human cerebral cortexbreakdown → | 2090 |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 23 | |
| 6 | 52 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | Increased peroxisomal activity in the liver of vitamin E deficient rats | 13 |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 |
About Arun S. Dabholkar
Arun S. Dabholkar is a scholar working on Biochemistry, Clinical Biochemistry and Environmental Chemistry, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Metabolism and Genetic Disorders (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Developmental Neuroscience (166 citations) and Behavioral Neuroscience (77 citations). Arun S. Dabholkar has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Peter R. Huttenlocher, Wayne W. Carmichael, Kazuo Ogawa, Jennifer B. Presley, Christine A. Curcio, Mark Johnson, Jiahn-Dar Huang, Melissa F. Chimento, Janardan K. Reddy and Narendra D. Lalwani. Their work appears in journals such as The Journal of Comparative Neurology, Annals of the New York Academy of Sciences and Cellular and Molecular Life 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.