T. Peeyush Kumar

487 total citations
13 papers, 380 citations indexed

About

T. Peeyush Kumar is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, T. Peeyush Kumar has authored 13 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in T. Peeyush Kumar's work include Neuroscience and Neuropharmacology Research (7 papers), Pancreatic function and diabetes (4 papers) and Biochemical effects in animals (3 papers). T. Peeyush Kumar is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Pancreatic function and diabetes (4 papers) and Biochemical effects in animals (3 papers). T. Peeyush Kumar collaborates with scholars based in India, Saudi Arabia and United States. T. Peeyush Kumar's co-authors include C.S. Paulose, Sherin Antony, Naijil George, Gireesh Gangadharan, Spiros Blackburn, Devin W. McBride, Jayanarayanan Sadanandan, Pramod K. Dash, Korah P. Kuruvilla and Jobin Mathew and has published in prestigious journals such as European Journal of Pharmacology, British Journal Of Nutrition and Molecular and Cellular Endocrinology.

In The Last Decade

T. Peeyush Kumar

13 papers receiving 371 citations

Peers

T. Peeyush Kumar
Ayhan Koçak Türkiye
Iva Božić Serbia
Fernando da Silva Fiorin Brazil
Isabelle Jamme France
Ülker Sönmez Türkiye
Yilong Shan China
Jake T. Neumann United States
Reggie Hui‐Chao Lee United States
Xiangbai Chen United States
Ayhan Koçak Türkiye
T. Peeyush Kumar
Citations per year, relative to T. Peeyush Kumar T. Peeyush Kumar (= 1×) peers Ayhan Koçak

Countries citing papers authored by T. Peeyush Kumar

Since Specialization
Citations

This map shows the geographic impact of T. Peeyush Kumar'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 T. Peeyush Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Peeyush Kumar more than expected).

Fields of papers citing papers by T. Peeyush Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Peeyush Kumar. 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 T. Peeyush Kumar. The network helps show where T. Peeyush Kumar may publish in the future.

Co-authorship network of co-authors of T. Peeyush Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Peeyush Kumar. A scholar is included among the top collaborators of T. Peeyush Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Peeyush Kumar. T. Peeyush Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kumar, T. Peeyush, et al.. (2019). Neurobehavioral Deficits After Subarachnoid Hemorrhage in Mice: Sensitivity Analysis and Development of a New Composite Score. Journal of the American Heart Association. 8(8). e011699–e011699. 36 indexed citations
2.
Kumar, T. Peeyush, et al.. (2018). Endothelial Cell Dysfunction and Injury in Subarachnoid Hemorrhage. Molecular Neurobiology. 56(3). 1992–2006. 70 indexed citations
3.
George, Naijil, T. Peeyush Kumar, Sherin Antony, Jayanarayanan Sadanandan, & C.S. Paulose. (2012). Effect of vitamin D3in reducing metabolic and oxidative stress in the liver of streptozotocin-induced diabetic rats. British Journal Of Nutrition. 108(8). 1410–1418. 66 indexed citations
4.
5.
Kumar, T. Peeyush, et al.. (2010). Enhanced NMDAR1, NMDA2B and mGlu5 receptors gene expression in the cerebellum of insulin induced hypoglycaemic and streptozotocin induced diabetic rats. European Journal of Pharmacology. 630(1-3). 61–68. 26 indexed citations
6.
Kumar, T. Peeyush, Sherin Antony, Smijin Soman, et al.. (2010). Role of curcumin in the prevention of cholinergic mediated cortical dysfunctions in streptozotocin-induced diabetic rats. Molecular and Cellular Endocrinology. 331(1). 1–10. 21 indexed citations
7.
8.
Antony, Sherin, T. Peeyush Kumar, Korah P. Kuruvilla, Naijil George, & C.S. Paulose. (2010). Decreased GABA Receptor Binding in the Cerebral Cortex of Insulin Induced Hypoglycemic and Streptozotocin Induced Diabetic Rats. Neurochemical Research. 35(10). 1516–1521. 26 indexed citations
9.
Mathew, Jobin, T. Peeyush Kumar, Reas S. Khan, & C.S. Paulose. (2010). Behavioral deficit and decreased GABA receptor functional regulation in the cerebellum of epileptic rats: Effect of Bacopa monnieri and bacoside A. Epilepsy & Behavior. 17(4). 441–447. 22 indexed citations
10.
Gangadharan, Gireesh, et al.. (2009). Enhanced muscarinic M1 receptor gene expression in the corpus striatum of streptozotocin-induced diabetic rats. Journal of Biomedical Science. 16(1). 38–38. 11 indexed citations
11.
Anju, T.R., T. Peeyush Kumar, & C.S. Paulose. (2009). Decreased GABAA Receptors Functional Regulation in the Cerebral Cortex and Brainstem of Hypoxic Neonatal Rats: Effect of Glucose and Oxygen Supplementation. Cellular and Molecular Neurobiology. 30(4). 599–606. 8 indexed citations
12.
13.
Gangadharan, Gireesh, et al.. (2007). Decreased muscarinic M1 receptor gene expression in the hypothalamus, brainstem, and pancreatic islets of streptozotocin‐induced diabetic rats. Journal of Neuroscience Research. 86(4). 947–953. 18 indexed citations

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.

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