Sona Rajakumari
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis 9
- Physiology top 5%
- Adipose Tissue and Metabolism 8
- Rehabilitation top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 3
- Lipid Membrane Structure and Behavior 2
- Peroxisome Proliferator-Activated Receptors 2
- Fungal and yeast genetics research 2
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases 4
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- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Günther DaumPatrick SealeKyoung‐Jae WonHee‐Woong LimRam RajasekharanJeff IshibashiBalaji EnuguttiKarlheinz Grillitsch
- Cited by
- BiochemistryPhysiologyRehabilitation
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Genes & Development (2 papers)
- Partner nations
- IndiaAustriaUnited States
In The Last Decade
Sona Rajakumari
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Biochemistry 678
- Physiology 575
- Rehabilitation 93
- Molecular Biology 708
- Epidemiology 351
Countries citing papers authored by Sona Rajakumari
This map shows the geographic impact of Sona Rajakumari'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 Sona Rajakumari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sona Rajakumari more than expected).
Fields of papers citing papers by Sona Rajakumari
This network shows the impact of papers produced by Sona Rajakumari. 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 Sona Rajakumari. The network helps show where Sona Rajakumari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sona Rajakumari, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 10 | |
| 5 | 2017 | 61 | |
| 6 | 2015 | 110 | |
| 7 | 2014 | 176 | |
| 8 | 2013 | 279 | |
| 9 | 2012 | 20 | |
| 10 | 2011 | 91 | |
| 11 | 2010 | 72 | |
| 12 | 2010 | 46 | |
| 13 | 2009 | 86 | |
| 14 | 2009 | 56 | |
| 15 | 2008 | 108 | |
| 16 | 2008 | 17 | |
| 17 | 2006 | 220 | |
| 18 | 2006 | 5 |
About Sona Rajakumari
Sona Rajakumari is a scholar working on Biochemistry, Physiology and Molecular Medicine, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (9 papers), Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Lipid Membrane Structure and Behavior (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Biochemistry (678 citations), Physiology (575 citations) and Rehabilitation (93 citations). Sona Rajakumari has collaborated with scholars based in India, Austria and United States. Frequent co-authors include Günther Daum, Patrick Seale, Kyoung‐Jae Won, Hee‐Woong Lim, Ram Rajasekharan, Jeff Ishibashi, Balaji Enugutti, Karlheinz Grillitsch, Günther Daum and Jun Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.