Akash Das
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Luminescence and Fluorescent Materials 5
-
- Advanced biosensing and bioanalysis techniques 3
- Lipid Membrane Structure and Behavior 3
- Co-authors
- Michael S. Brown (4 shared papers)Joseph L. Goldstein (4 shared papers)Arun Radhakrishnan (2 shared papers)Donald D. Anderson (2 shared papers)Jef K. De Brabander (2 shared papers)Feiran Lu (2 shared papers)Qiren Liang (2 shared papers)Lina Abi-Mosleh (1 shared paper)
- Journals
- New Journal of Chemistry (6 papers)Cancer Research (2 papers)Journal of Lipid Research (2 papers)Journal of Photochemistry and Photobiology A Chemistry (2 papers)eLife (2 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Akash Das
33 papers receiving 937 citations
Peers
Comparison fields: 5 of 89
- Physiology 71
- Biochemistry 107
- Cell Biology 198
- Molecular Biology 494
- Physiology 165
Countries citing papers authored by Akash Das
This map shows the geographic impact of Akash Das'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 Akash Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akash Das more than expected).
Fields of papers citing papers by Akash Das
This network shows the impact of papers produced by Akash Das. 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 Akash Das. The network helps show where Akash Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Akash Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 270 | |
| 2 | 2015 | 253 | |
| 3 | 2013 | 90 | |
| 4 | 2016 | 54 | |
| 5 | 2007 | 45 | |
| 6 | 2008 | 36 | |
| 7 | 2021 | 29 | |
| 8 | 2008 | 26 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2024 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 5 |
About Akash Das
Akash Das is a scholar working on Materials Chemistry, Molecular Biology, Spectroscopy, Organic Chemistry and Oncology, having authored 39 papers that have together received 947 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (9 papers), Luminescence and Fluorescent Materials (5 papers), Metal complexes synthesis and properties (5 papers), Cholesterol and Lipid Metabolism (4 papers), Click Chemistry and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Photochemistry and Electron Transfer Studies (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Physiology (71 citations), Biochemistry (107 citations), Cell Biology (198 citations), Molecular Biology (494 citations) and Physiology (165 citations). Akash Das has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Michael S. Brown, Joseph L. Goldstein, Arun Radhakrishnan, Donald D. Anderson, Jef K. De Brabander, Feiran Lu, Qiren Liang, Lina Abi-Mosleh, Lawrence L. Rudel and Matthew A. Davis. Their work appears in journals such as New Journal of Chemistry, Cancer Research, Journal of Lipid Research, Journal of Photochemistry and Photobiology A Chemistry and eLife.
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.