Neena Srivastava
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 5
- Nutrition and Dietetics top 10%
- Biochemical Analysis and Sensing Techniques 4
- Child Nutrition and Water Access 3
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- Adipose Tissue and Metabolism 5
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- Adipokines, Inflammation, and Metabolic Diseases 13
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- Cardiovascular Disease and Adiposity 3
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- Diabetes and associated disorders 3
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- Peroxisome Proliferator-Activated Receptors 3
- Co-authors
- Monisha BanerjeeMadhukar SaxenaBalraj MittalShally AwasthiC. G. AgarwalS. M. NatuUma SinghJai Prakash
- Cited by
- Endocrine and Autonomic SystemsNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterología (4 papers)PLoS ONE (2 papers)Journal of Hypertension (1 paper)
In The Last Decade
Neena Srivastava
40 papers receiving 783 citations
Peers
Comparison fields: 5 of 92
- Endocrine and Autonomic Systems 60
- Nutrition and Dietetics 112
- Endocrinology, Diabetes and Metabolism 110
- Physiology 159
- Epidemiology 209
Countries citing papers authored by Neena Srivastava
This map shows the geographic impact of Neena Srivastava'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 Neena Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neena Srivastava more than expected).
Fields of papers citing papers by Neena Srivastava
This network shows the impact of papers produced by Neena Srivastava. 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 Neena Srivastava. The network helps show where Neena Srivastava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neena Srivastava, 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 | 2018 | 5 | |
| 2 | 2015 | 25 | |
| 3 | Interleukin-6 (IL-6)-597 A/G (rs1800797) & -174 G/C (rs1800795) gene polymorphisms in type 2 diabetes | 2014 | 24 |
| 4 | 2014 | 18 | |
| 5 | 2013 | 40 | |
| 6 | 2013 | 16 | |
| 7 | 2013 | 81 | |
| 8 | 2013 | 5 | |
| 9 | 2012 | 3 | |
| 10 | 2012 | 35 | |
| 11 | 2012 | 42 | |
| 12 | 2012 | 13 | |
| 13 | 2012 | 22 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 57 | |
| 16 | 2009 | 38 | |
| 17 | 2008 | 15 | |
| 18 | 2008 | 43 | |
| 19 | 2007 | 5 | |
| 20 | 2007 | 22 |
About Neena Srivastava
Neena Srivastava is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Nutrition and Dietetics, having authored 40 papers that have together received 819 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Regulation of Appetite and Obesity (5 papers), Adipose Tissue and Metabolism (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Cardiovascular Disease and Adiposity (3 papers), Child Nutrition and Water Access (3 papers), Diabetes and associated disorders (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (60 citations), Nutrition and Dietetics (112 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Neena Srivastava has collaborated with scholars based in India and Israel. Frequent co-authors include Monisha Banerjee, Madhukar Saxena, Balraj Mittal, Shally Awasthi, C. G. Agarwal, S. M. Natu, Uma Singh, Jai Prakash, Balraj Mittal and Ram Lakhan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hypertension.
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.