Krishnakumar N. Menon

887 total citations
40 papers, 728 citations indexed

About

Krishnakumar N. Menon is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Krishnakumar N. Menon has authored 40 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Krishnakumar N. Menon's work include Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immunotherapy and Immune Responses (3 papers). Krishnakumar N. Menon is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immunotherapy and Immune Responses (3 papers). Krishnakumar N. Menon collaborates with scholars based in India, Australia and United Kingdom. Krishnakumar N. Menon's co-authors include Claude C.A. Bernard, Terrance G. Johns, Nicole Kerlero de Rosbo, Raja Biswas, Kavitha R. Dinesh, Sara J. Piddlesden, Shantikumar V. Nair, C. Gopi Mohan, Kazuhiro Ikenaka and Sumihiro Hase and has published in prestigious journals such as The Journal of Immunology, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Krishnakumar N. Menon

40 papers receiving 714 citations

Peers

Krishnakumar N. Menon
Johannes F. W. Greiner Germany
Jiahui Ye China
Myriam Fabre Spain
Kerstin Danker Germany
Zhengyan Yang China
Xiaomin Su China
Tomoko Fukushige Japan
Jung-Hee Lee South Korea
Sylva Haralambous Greece
Xiaoqian Liu China
Johannes F. W. Greiner Germany
Krishnakumar N. Menon
Citations per year, relative to Krishnakumar N. Menon Krishnakumar N. Menon (= 1×) peers Johannes F. W. Greiner

Countries citing papers authored by Krishnakumar N. Menon

Since Specialization
Citations

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

Fields of papers citing papers by Krishnakumar N. Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnakumar N. Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnakumar N. Menon. A scholar is included among the top collaborators of Krishnakumar N. Menon 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 Krishnakumar N. Menon. Krishnakumar N. Menon 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.
Gupta, Akanksha, et al.. (2023). Effect of dexamethasone implant on intraocular cytokines in diabetic macular edema. Indian Journal of Ophthalmology. 71(2). 363–368. 1 indexed citations
2.
Mony, Ullas, et al.. (2022). Interactome based identification and validation of prefoldin 5-α for prognosing CNS leukemia in B-ALL patients. Scientific Reports. 12(1). 15491–15491. 2 indexed citations
3.
Payne, Natalie L., Guizhi Sun, Anusha Ashokan, et al.. (2021). Exploiting the preferential phagocytic uptake of nanoparticle-antigen conjugates for the effective treatment of autoimmunity. Nanomedicine Nanotechnology Biology and Medicine. 40. 102481–102481. 6 indexed citations
4.
5.
Ariyannur, Prasanth S., et al.. (2018). Exploring the role of defective fibronectin matrix assembly in the VHL-associated CNS hemangioblastoma. Drug Metabolism and Personalized Therapy. 33(3). 127–134. 1 indexed citations
6.
Menon, Krishnakumar N., et al.. (2018). Fibronectin protein expression in renal cell carcinoma in correlation with clinical stage of tumour. Biomarker Research. 6(1). 23–23. 8 indexed citations
7.
Mohan, C. Gopi, et al.. (2018). Generation of humanized single-chain fragment variable immunotherapeutic against EGFR variant III using baculovirus expression system and in vitro validation. International Journal of Biological Macromolecules. 124. 17–24. 9 indexed citations
8.
Menon, Krishnakumar N., et al.. (2018). Expression and Purification of Quinine Dihydro Pteridine Reductase from astrocytes and its significance in the astrocyte pathology. International Journal of Biological Macromolecules. 110. 567–572. 3 indexed citations
9.
10.
Menon, Krishnakumar N., Maya S. Nair, Ullas Mony, et al.. (2015). Development and molecular characterization of polymeric micro-nanofibrous scaffold of a defined 3-D niche for in vitro chemosensitivity analysis against acute myeloid leukemia cells. International Journal of Nanomedicine. 10. 3603–3603. 13 indexed citations
11.
Nampoothiri, Sheela, et al.. (2015). Genotype–phenotype analysis of von Hippel–Lindau syndrome in fifteen Indian families. Familial Cancer. 14(4). 585–594. 13 indexed citations
12.
Shalumon, K.T., Liming Milbauer, R. Jayakumar, et al.. (2013). Poly (lactic acid)–chitosan–collagen composite nanofibers as substrates for blood outgrowth endothelial cells. International Journal of Biological Macromolecules. 58. 220–224. 23 indexed citations
13.
Ganesan, Trivadi S., et al.. (2010). A simple and efficient method for processing of cell lysates for two‐dimensional gel electrophoresis. Electrophoresis. 31(14). 2429–2435. 7 indexed citations
14.
Dinesh, Kavitha R., et al.. (2010). Lactobacillus Fermentum  Isolated from Human Colonic Mucosal Biopsy Inhibits the Growth and Adhesion of Enteric and Foodborne Pathogens. Journal of Food Science. 75(9). M546–51. 64 indexed citations
15.
Menon, Krishnakumar N., Yanghong Wu, Joel T. Haas, et al.. (2007). Diminished degradation of myelin basic protein by anti-sulfatide antibody and interferon-γ in myelin from glia maturation factor-deficient mice. Neuroscience Research. 58(2). 156–163. 7 indexed citations
16.
Menon, Krishnakumar N., Matthew N. Rasband, Christopher M. Taylor, et al.. (2003). The myelin–axolemmal complex: biochemical dissection and the role of galactosphingolipids. Journal of Neurochemistry. 87(4). 995–1009. 43 indexed citations
17.
Nakakita, Shin‐ichi, Krishnakumar N. Menon, Shunji Natsuka, Kazuhiro Ikenaka, & Sumihiro Hase. (1999).  l-4Galactosyltransferase Activity of Mouse Brain as Revealed by Analysis of Brain-Specific Complex-Type iV-Linked Sugar Chains. The Journal of Biochemistry. 126(6). 1161–1169. 17 indexed citations
18.
Menon, Krishnakumar N., Sara J. Piddlesden, & Claude C.A. Bernard. (1997). Demyelinating Antibodies to Myelin Oligodendrocyte Glycoprotein and Galactocerebroside Induce Degradation of Myelin Basic Protein in Isolated Human Myelin. Journal of Neurochemistry. 69(1). 214–222. 41 indexed citations
19.
Johns, Terrance G., et al.. (1995). Myelin oligodendrocyte glycoprotein induces a demyelinating encephalomyelitis resembling multiple sclerosis.. The Journal of Immunology. 154(10). 5536–5541. 152 indexed citations
20.
Menon, Krishnakumar N., et al.. (1988). Evidence for the incorporation of [32P]orthophosphate into leaf inositol phospholipids. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 962(2). 178–185. 10 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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