Devaraj Subramanian
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- Retinal Development and Disorders 2
- Advanced biosensing and bioanalysis techniques 1
- Protein Tyrosine Phosphatases 1
-
- Cellular transport and secretion 5
- Microtubule and mitosis dynamics 1
- Co-authors
- Carsten Schultz (9 shared papers)Vibor Laketa (5 shared papers)Rainer Müller (2 shared papers)Matthias Mentel (3 shared papers)Rainer Pepperkok (3 shared papers)Jocelyn Laporte (1 shared paper)Marnix Wieffer (1 shared paper)Dmytro Puchkov (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)Nature (1 paper)Nature Chemical Biology (1 paper)Biotechnology Journal (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Devaraj Subramanian
9 papers receiving 474 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 238
- Physiology 54
- Molecular Biology 297
- Biophysics 24
- Cellular and Molecular Neuroscience 71
Countries citing papers authored by Devaraj Subramanian
This map shows the geographic impact of Devaraj Subramanian'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 Devaraj Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devaraj Subramanian more than expected).
Fields of papers citing papers by Devaraj Subramanian
This network shows the impact of papers produced by Devaraj Subramanian. 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 Devaraj Subramanian. The network helps show where Devaraj Subramanian may publish in the future.
Co-authors
The 25 scholars most cited alongside Devaraj Subramanian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2010 | 69 | |
| 3 | 2011 | 69 | |
| 4 | 2014 | 46 | |
| 5 | 2014 | 33 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 30 | |
| 8 | 2009 | 29 | |
| 9 | 2011 | 22 |
About Devaraj Subramanian
Devaraj Subramanian is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Oncology and Physiology, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Retinal Development and Disorders (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Microtubule and mitosis dynamics (1 paper), Photochromic and Fluorescence Chemistry (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cell Biology (238 citations), Physiology (54 citations), Molecular Biology (297 citations), Biophysics (24 citations) and Cellular and Molecular Neuroscience (71 citations). Devaraj Subramanian has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Carsten Schultz, Vibor Laketa, Rainer Müller, Matthias Mentel, Rainer Pepperkok, Jocelyn Laporte, Marnix Wieffer, Dmytro Puchkov, Volker Haucke and M. Krauß. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Nature, Nature Chemical Biology and Biotechnology Journal.
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.