Sunitha Shiva
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant responses to water stress
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Photosynthetic Processes and Mechanisms 5
- Plant biochemistry and biosynthesis 3
- Heat shock proteins research 2
- Plant Gene Expression Analysis 2
- Biochemistry 10
- Lipid metabolism and biosynthesis 10
- Co-authors
- Ruth Welti (12 shared papers)Pamela Tamura (9 shared papers)Mary R. Roth (9 shared papers)Hieu Vu (7 shared papers)S. V. Krishna Jagadish (1 shared paper)Jyoti Shah (4 shared papers)Kathrin Schrick (3 shared papers)Xuemin Wang (3 shared papers)
- Journals
- Plants (1 paper)Journal of Biological Chemistry (1 paper)Physiologia Plantarum (1 paper)The Plant Journal (1 paper)The Plant Genome (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Sunitha Shiva
15 papers receiving 381 citations
Peers
Comparison fields: 5 of 55
- Biochemistry 176
- Plant Science 186
- Molecular Biology 244
- Spectroscopy 29
- Agronomy and Crop Science 14
Countries citing papers authored by Sunitha Shiva
This map shows the geographic impact of Sunitha Shiva'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 Sunitha Shiva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunitha Shiva more than expected).
Fields of papers citing papers by Sunitha Shiva
This network shows the impact of papers produced by Sunitha Shiva. 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 Sunitha Shiva. The network helps show where Sunitha Shiva may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunitha Shiva, 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 | 2014 | 90 | |
| 2 | 2018 | 66 | |
| 3 | 2020 | 54 | |
| 4 | 2013 | 39 | |
| 5 | 2011 | 34 | |
| 6 | 2017 | 34 | |
| 7 | 2013 | 19 | |
| 8 | 2012 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2024 | 1 |
About Sunitha Shiva
Sunitha Shiva is a scholar working on Molecular Biology, Biochemistry, Plant Science, Organic Chemistry and Surgery, having authored 15 papers that have together received 388 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (10 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Plant biochemistry and biosynthesis (3 papers), Plant Molecular Biology Research (2 papers), Heat shock proteins research (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Biochemistry (176 citations), Plant Science (186 citations), Molecular Biology (244 citations), Spectroscopy (29 citations) and Agronomy and Crop Science (14 citations). Sunitha Shiva has collaborated with scholars based in United States and Germany. Frequent co-authors include Ruth Welti, Pamela Tamura, Mary R. Roth, Hieu Vu, S. V. Krishna Jagadish, Jyoti Shah, Kathrin Schrick, Xuemin Wang, Maoyin Li and Thilani Samarakoon. Their work appears in journals such as Plants, Journal of Biological Chemistry, Physiologia Plantarum, The Plant Journal and The Plant Genome.
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.