K.C. Biju

635 total citations
23 papers, 514 citations indexed

About

K.C. Biju is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Neurology. According to data from OpenAlex, K.C. Biju has authored 23 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 13 papers in Sensory Systems and 5 papers in Neurology. Recurrent topics in K.C. Biju's work include Olfactory and Sensory Function Studies (12 papers), Neurobiology and Insect Physiology Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). K.C. Biju is often cited by papers focused on Olfactory and Sensory Function Studies (12 papers), Neurobiology and Insect Physiology Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). K.C. Biju collaborates with scholars based in United States, India and United Kingdom. K.C. Biju's co-authors include Debra Ann Fadool, Nishikant K. Subhedar, Robert A. Clark, Melissa Ann Cavallin, Thomas G. Mast, Senlin Li, Subhash Saha, David Marks, Cang Chen and Katelyn Powell and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

K.C. Biju

21 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.C. Biju United States 15 230 149 129 123 74 23 514
Koshi Murata Japan 16 200 0.9× 213 1.4× 145 1.1× 116 0.9× 50 0.7× 37 630
Emi Kiyokage Japan 15 350 1.5× 329 2.2× 281 2.2× 178 1.4× 82 1.1× 28 930
Junzo Ochi Japan 14 192 0.8× 56 0.4× 162 1.3× 29 0.2× 108 1.5× 48 521
Valérie Coronas France 18 388 1.7× 187 1.3× 357 2.8× 87 0.7× 29 0.4× 31 874
Jessica H. Brann United States 12 199 0.9× 314 2.1× 99 0.8× 169 1.4× 19 0.3× 14 501
Benjamin Delprat France 17 154 0.7× 552 3.7× 750 5.8× 66 0.5× 18 0.2× 35 1.2k
Naresh K. Hanchate United States 11 163 0.7× 118 0.8× 175 1.4× 93 0.8× 171 2.3× 14 676
Mark N. Rand United States 9 295 1.3× 113 0.8× 177 1.4× 70 0.6× 14 0.2× 11 449
Kyoko Ajiki Japan 11 283 1.2× 29 0.2× 318 2.5× 15 0.1× 47 0.6× 13 602
L. Castaldo Italy 13 289 1.3× 11 0.1× 122 0.9× 38 0.3× 84 1.1× 54 540

Countries citing papers authored by K.C. Biju

Since Specialization
Citations

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

Fields of papers citing papers by K.C. Biju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.C. Biju. 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 K.C. Biju. The network helps show where K.C. Biju may publish in the future.

Co-authorship network of co-authors of K.C. Biju

This figure shows the co-authorship network connecting the top 25 collaborators of K.C. Biju. A scholar is included among the top collaborators of K.C. Biju 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 K.C. Biju. K.C. Biju 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
2.
Biju, K.C.. (2023). Diagnosis of Chronic Liver Disease using Machine Learning Techniques. International Journal for Research in Applied Science and Engineering Technology. 11(6). 346–351.
3.
Muir, Eric R., et al.. (2019). Functional MRI of the mouse olfactory system. Neuroscience Letters. 704. 57–61. 14 indexed citations
5.
Phillips, Kimberley A., Corinna N. Ross, Catherine Cheng, et al.. (2017). Behavioral phenotypes associated with MPTP induction of partial lesions in common marmosets ( Callithrix jacchus ). Behavioural Brain Research. 325(Pt A). 51–62. 17 indexed citations
6.
Muir, Eric R., Cang Chen, Jingwei Liu, et al.. (2016). Multimodal MRI Evaluation of the MitoPark Mouse Model of Parkinson’s Disease. PLoS ONE. 11(3). e0151884–e0151884. 20 indexed citations
7.
Biju, K.C., et al.. (2015). Hematopoietic knockdown of PPARδ reduces atherosclerosis in LDLR−/− mice. Gene Therapy. 23(1). 78–85. 18 indexed citations
8.
Biju, K.C., et al.. (2013). Odor enrichment sculpts the abundance of olfactory bulb mitral cells. Neuroscience Letters. 541. 173–178. 5 indexed citations
9.
Tucker, Kristal R., Melissa Ann Cavallin, K.C. Biju, et al.. (2010). The Olfactory Bulb: A Metabolic Sensor of Brain Insulin and Glucose Concentrations via a Voltage-Gated Potassium Channel. Results and problems in cell differentiation. 52. 147–157. 39 indexed citations
10.
Cavallin, Melissa Ann, Katelyn Powell, K.C. Biju, & Debra Ann Fadool. (2010). State-dependent sculpting of olfactory sensory neurons is attributed to sensory enrichment, odor deprivation, and aging. Neuroscience Letters. 483(2). 90–95. 36 indexed citations
11.
Biju, K.C., et al.. (2008). Neuronal nitric oxide synthase in the olfactory system, forebrain, pituitary and retina of the adult teleost Clarias batrachus. Journal of Chemical Neuroanatomy. 37(3). 170–181. 14 indexed citations
12.
Biju, K.C., Thomas G. Mast, & Debra Ann Fadool. (2008). Olfactory sensory deprivation increases the number of proBDNF-immunoreactive mitral cells in the olfactory bulb of mice. Neuroscience Letters. 447(1). 42–47. 14 indexed citations
13.
Biju, K.C., David Marks, Thomas G. Mast, & Debra Ann Fadool. (2007). Deletion of voltage‐gated channel affects glomerular refinement and odorant receptor expression in the mouse olfactory system. The Journal of Comparative Neurology. 506(2). 161–179. 38 indexed citations
14.
Biju, K.C., et al.. (2006). Neurotrophin B receptor kinase increases Kv subfamily member 1.3 (Kv1.3) ion channel half-life and surface expression. Neuroscience. 144(2). 531–546. 43 indexed citations
15.
Subhedar, Nishikant K., et al.. (2005). Role of neuropeptide Y (NPY) in the regulation of reproduction: study based on catfish model. Fish Physiology and Biochemistry. 31(2-3). 167–172. 15 indexed citations
17.
Biju, K.C., et al.. (2005). Ontogeny of GnRH-like immunoreactive neuronal systems in the forebrain of the Indian major carp, Cirrhinus mrigala. General and Comparative Endocrinology. 141(2). 161–171. 7 indexed citations
18.
Biju, K.C., et al.. (2004). Neuropeptide Y in the olfactory system, forebrain and pituitary of the teleost, Clarias batrachus. Journal of Chemical Neuroanatomy. 27(1). 55–70. 38 indexed citations
19.
Biju, K.C., et al.. (2003). GnRH-LH secreting cells axis in the pituitary of the teleost Clarias batrachus responds to neuropeptide Y treatment: an immunocytochemical study. General and Comparative Endocrinology. 131(2). 126–133. 25 indexed citations
20.
Biju, K.C., Praful S. Singru, Martin P. Schreibman, & Nishikant K. Subhedar. (2003). Reproduction phase-related expression of GnRH-like immunoreactivity in the olfactory receptor neurons, their projections to the olfactory bulb and in the nervus terminalis in the female Indian major carp Cirrhinus mrigala (Ham.). General and Comparative Endocrinology. 133(3). 358–367. 30 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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