Krishna Kumar

966 total citations
26 papers, 736 citations indexed

About

Krishna Kumar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Krishna Kumar has authored 26 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Krishna Kumar's work include Axon Guidance and Neuronal Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Krishna Kumar is often cited by papers focused on Axon Guidance and Neuronal Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Krishna Kumar collaborates with scholars based in Singapore, Germany and China. Krishna Kumar's co-authors include Christoph Redies, Sreedharan Sajikumar, Thomas Behnisch, Nicole Hertel, Tuck Wah Soong, Silke Keiner, D. Chichung Lie, Otto W. Witte, Christoph Redecker and Nimmi Baby and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Krishna Kumar

26 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Kumar Singapore 16 303 295 119 111 103 26 736
Fenglian Xu Canada 18 278 0.9× 274 0.9× 104 0.9× 69 0.6× 82 0.8× 45 974
Daisaku Yokomaku Japan 17 495 1.6× 387 1.3× 176 1.5× 105 0.9× 84 0.8× 20 957
Eric S. McCoy United States 12 235 0.8× 513 1.7× 73 0.6× 74 0.7× 46 0.4× 17 1.1k
M Zaremba Poland 18 336 1.1× 292 1.0× 176 1.5× 278 2.5× 50 0.5× 64 985
Silke Penschuck Switzerland 12 409 1.3× 236 0.8× 108 0.9× 56 0.5× 124 1.2× 13 626
Irina Korshunova Denmark 20 223 0.7× 411 1.4× 129 1.1× 71 0.6× 33 0.3× 33 885
Dariusz Orłowski Denmark 17 234 0.8× 127 0.4× 42 0.4× 131 1.2× 87 0.8× 45 743
Yoshiki Matsumoto Japan 18 168 0.6× 257 0.9× 158 1.3× 79 0.7× 26 0.3× 59 965
Mohammad A. Alzubi Jordan 16 88 0.3× 233 0.8× 87 0.7× 66 0.6× 91 0.9× 45 874
Sergiy Sylantyev United Kingdom 15 440 1.5× 350 1.2× 35 0.3× 78 0.7× 180 1.7× 38 913

Countries citing papers authored by Krishna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kumar. A scholar is included among the top collaborators of Krishna 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 Krishna Kumar. Krishna 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, Krishna. (2022). Technology and Education Today. Social Change. 52(4). 467–477. 1 indexed citations
2.
Kumar, Lakhan, Mohita Chugh, Saroj Kumar, et al.. (2022). Remediation of petrorefinery wastewater contaminants: A review on physicochemical and bioremediation strategies. Process Safety and Environmental Protection. 159. 362–375. 68 indexed citations
3.
Zhai, Jing, Sheeja Navakkode, Krishna Kumar, et al.. (2022). Loss of Ca V 1.3 RNA editing enhances mouse hippocampal plasticity, learning, and memory. Proceedings of the National Academy of Sciences. 119(32). e2203883119–e2203883119. 8 indexed citations
4.
Kumar, Krishna, et al.. (2020). Regulation of aberrant proteasome activity re‐establishes plasticity and long‐term memory in an animal model of Alzheimer's disease. The FASEB Journal. 34(7). 9466–9479. 16 indexed citations
5.
Huang, Jian, Qingli Li, Hasan Mohammad, et al.. (2019). Regulation of feeding by somatostatin neurons in the tuberal nucleus. Yearbook of pediatric endocrinology. 1 indexed citations
6.
Luo, Sarah, Ju Huang, Qin Li, et al.. (2018). Regulation of feeding by somatostatin neurons in the tuberal nucleus. Science. 361(6397). 76–81. 82 indexed citations
7.
Dasgupta, Ananya, Nimmi Baby, Krishna Kumar, et al.. (2017). Substance P induces plasticity and synaptic tagging/capture in rat hippocampal area CA2. Proceedings of the National Academy of Sciences. 114(41). E8741–E8749. 44 indexed citations
8.
Frangeul, Laura, José V. Sánchez‐Mut, Sabine Fièvre, et al.. (2017). Input-dependent regulation of excitability controls dendritic maturation in somatosensory thalamocortical neurons. Nature Communications. 8(1). 2015–2015. 25 indexed citations
9.
Kumar, Krishna, Thomas Behnisch, & Sreedharan Sajikumar. (2016). Inhibition of Histone Deacetylase 3 Restores Amyloid-β Oligomer-Induced Plasticity Deficit in Hippocampal CA1 Pyramidal Neurons. Journal of Alzheimer s Disease. 51(3). 783–791. 57 indexed citations
10.
Kumar, Krishna, et al.. (2013). CISGENESIS â An alternate approach for development of geneticallymodified crops. Annals of biological research. 4(9). 109–115. 1 indexed citations
11.
Mishra, Rahul, et al.. (2013). An Inspection of Mobility Models Routine on Routing Protocols in Ad Hoc Network. 2 indexed citations
12.
Kumar, Krishna, et al.. (2011). Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel. SHILAP Revista de lepidopterología. 5 indexed citations
13.
Kumar, Krishna, Nicole Hertel, & Christoph Redies. (2010). Cadherin expression in the somatosensory cortex: evidence for a combinatorial molecular code at the single-cell level. Neuroscience. 175. 37–48. 48 indexed citations
14.
Kumar, Krishna, et al.. (2009). Expression of classic cadherins and δ-protocadherins in the developing ferret retina. BMC Neuroscience. 10(1). 153–153. 30 indexed citations
15.
Sundararajan, T., et al.. (2009). A novel survey towards various energy models with Ad Hoc On Demand Distance Vector Routing Protocol (AODV). 1–5. 3 indexed citations
16.
Hertel, Nicole, et al.. (2008). A cadherin‐based code for the divisions of the mouse basal ganglia. The Journal of Comparative Neurology. 508(4). 511–528. 39 indexed citations
17.
Kumar, Krishna, et al.. (2008). Layer-Specific Expression of Multiple Cadherins in the Developing Visual Cortex (V1) of the Ferret. Cerebral Cortex. 19(2). 388–401. 38 indexed citations
18.
Kumar, Krishna, et al.. (2008). Comparative analysis of cadherin expression and connectivity patterns in the cerebellar system of ferret and mouse. The Journal of Comparative Neurology. 511(6). 736–752. 21 indexed citations
19.
Kumar, Krishna & Christoph Redies. (2008). Expression of Cadherin Superfamily Genes in Brain Vascular Development. Journal of Cerebral Blood Flow & Metabolism. 29(2). 224–229. 21 indexed citations
20.
Kumar, Krishna. (1993). Mohandas Karamchand Gandhi. Prospects. 23(3-4). 507–517. 6 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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