Keshava N. Kumar

943 total citations
22 papers, 792 citations indexed

About

Keshava N. Kumar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Keshava N. Kumar has authored 22 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Keshava N. Kumar's work include Neuroscience and Neuropharmacology Research (17 papers), Ion channel regulation and function (9 papers) and Lipid Membrane Structure and Behavior (6 papers). Keshava N. Kumar is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Ion channel regulation and function (9 papers) and Lipid Membrane Structure and Behavior (6 papers). Keshava N. Kumar collaborates with scholars based in United States and Germany. Keshava N. Kumar's co-authors include Elias K. Michaelis, P. S. Johnson, MP Mattson, Bin Cheng, Haitao Wang, Ranu Pal, Nanda Tilakaratne, Xinkun Wang, Elena S. Dremina and Victor S. Sharov and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Keshava N. Kumar

22 papers receiving 780 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keshava N. Kumar United States 13 477 445 111 94 87 22 792
G.A. MacGibbon New Zealand 15 532 1.1× 447 1.0× 220 2.0× 127 1.4× 85 1.0× 17 985
G.F. Di Renzo Italy 15 494 1.0× 398 0.9× 137 1.2× 91 1.0× 47 0.5× 34 887
Ingeborg Aa. Torgner Norway 17 653 1.4× 623 1.4× 200 1.8× 180 1.9× 50 0.6× 31 1.3k
J.C. Louis France 12 426 0.9× 305 0.7× 101 0.9× 98 1.0× 92 1.1× 18 765
Uta Strasser United States 11 499 1.0× 563 1.3× 103 0.9× 172 1.8× 92 1.1× 13 852
Fernando Picatoste Spain 19 608 1.3× 270 0.6× 167 1.5× 65 0.7× 33 0.4× 37 941
S. H. Appel United States 13 374 0.8× 344 0.8× 119 1.1× 73 0.8× 85 1.0× 18 777
Yucui Chen United States 10 439 0.9× 417 0.9× 82 0.7× 52 0.6× 70 0.8× 13 718
Ruslan I. Stanika Austria 17 454 1.0× 427 1.0× 111 1.0× 89 0.9× 46 0.5× 22 738
Carol L. Zielke United States 19 574 1.2× 274 0.6× 149 1.3× 126 1.3× 37 0.4× 26 1.0k

Countries citing papers authored by Keshava N. Kumar

Since Specialization
Citations

This map shows the geographic impact of Keshava N. 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 Keshava N. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshava N. Kumar more than expected).

Fields of papers citing papers by Keshava N. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshava N. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Keshava N. Kumar. A scholar is included among the top collaborators of Keshava N. 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 Keshava N. Kumar. Keshava N. Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Keshava N., Ranu Pal, Xiaodong Bao, et al.. (2008). A Rat Brain Bicistronic Gene with an Internal Ribosome Entry Site Codes for a Phencyclidine-binding Protein with Cytotoxic Activity. Journal of Biological Chemistry. 284(4). 2245–2257. 7 indexed citations
2.
Wang, Xinkun, et al.. (2007). Genome-wide transcriptome profiling of region-specific vulnerability to oxidative stress in the hippocampus. Genomics. 90(2). 201–212. 39 indexed citations
3.
Wang, Xinkun, Ranu Pal, Xuewen Chen, et al.. (2005). High intrinsic oxidative stress may underlie selective vulnerability of the hippocampal CA1 region. Molecular Brain Research. 140(1-2). 120–126. 94 indexed citations
4.
Pal, Ranu, Abdulbaki Aǵbaş, Xiaodong Bao, et al.. (2003). Selective dendrite-targeting of mRNAs of NR1 splice variants without exon 5: identification of a cis-acting sequence and isolation of sequence-binding proteins. Brain Research. 994(1). 1–18. 26 indexed citations
5.
Kumar, Keshava N., et al.. (2002). Superoxide modification and inactivation of a neuronal receptor-like complex. Free Radical Biology and Medicine. 32(6). 512–524. 2 indexed citations
6.
7.
Kumar, Keshava N., P. S. Johnson, Xingyu Chen, et al.. (1998). Cloning of a BrainN-Methyl-d-Aspartate- andd,l-ϵ-2-Amino-4-propyl-5-phosphono-3-pentanoic Acid (CGP 39653)-Binding Protein. Biochemical and Biophysical Research Communications. 253(2). 463–469. 5 indexed citations
8.
Kumar, Keshava N., et al.. (1996). A synaptic membrane glycine-, glutamate- and thienylcyclohexylpiperidine-binding protein: isolation and immunochemical characterization. Neurochemistry International. 29(5). 507–519. 11 indexed citations
9.
Aistrup, Gary L., et al.. (1996). Ion channel properties of a protein complex with characteristics of a glutamate/N‐methyl‐d‐aspartate receptor. FEBS Letters. 394(2). 141–148. 15 indexed citations
10.
Hoffman, Paula L., Sanjiv V. Bhave, Keshava N. Kumar, et al.. (1996). The 71 kDa glutamate-binding protein is increased in cerebellar granule cells after chronic ethanol treatment. Molecular Brain Research. 39(1-2). 167–176. 29 indexed citations
11.
Kumar, Keshava N., et al.. (1995). Nitric oxide: Its identity and role in blood pressure control. Life Sciences. 57(17). 1547–1556. 38 indexed citations
12.
Kumar, Keshava N., et al.. (1995). Cloning of the cDNA for a Brain Glycine-, Glutamate- and Thienylcyclohexylpiperidine (TCP)-Binding Protein. Biochemical and Biophysical Research Communications. 216(1). 390–398. 12 indexed citations
13.
Kumar, Keshava N., et al.. (1994). Purification and pharmacological and immunochemical characterization of synaptic membrane proteins with ligand-binding properties of N-methyl-D-aspartate receptors.. Journal of Biological Chemistry. 269(44). 27384–27393. 18 indexed citations
14.
15.
Mattson, MP, Keshava N. Kumar, Haitao Wang, Bin Cheng, & Elias K. Michaelis. (1993). Basic FGF regulates the expression of a functional 71 kDa NMDA receptor protein that mediates calcium influx and neurotoxicity in hippocampal neurons. Journal of Neuroscience. 13(11). 4575–4588. 161 indexed citations
16.
Michaelis, Elias K., Mary L. Michaelis, Keshava N. Kumar, et al.. (1992). Purification, Reconstitution, and Cloning of an NMDA Receptor‐Ion Channel Complex from Rat Brain Synaptic Membranes: Implications for Neurobiological Changes in Alcoholisma. Annals of the New York Academy of Sciences. 654(1). 7–18. 8 indexed citations
17.
18.
Kumar, Keshava N., et al.. (1991). Cloning of cDNA for the glutamate-binding subunit of an NMDA receptor complex. Nature. 354(6348). 70–73. 136 indexed citations
19.
Kumar, Keshava N., et al.. (1991). Hydrodynamic properties of the purified glutamate-binding protein subunit of the N-methyl-D-aspartate receptor. Journal of Biological Chemistry. 266(23). 14947–14952. 10 indexed citations
20.
Eaton, Mary J., et al.. (1990). Immunochemical characterization of brain synaptic membrane glutamate-binding proteins.. Journal of Biological Chemistry. 265(27). 16195–16204. 36 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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