Veeranna

4.1k total citations · 2 hit papers
37 papers, 3.4k citations indexed

About

Veeranna is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Veeranna has authored 37 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Cell Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Veeranna's work include Skin and Cellular Biology Research (14 papers), Cellular transport and secretion (5 papers) and Nerve injury and regeneration (5 papers). Veeranna is often cited by papers focused on Skin and Cellular Biology Research (14 papers), Cellular transport and secretion (5 papers) and Nerve injury and regeneration (5 papers). Veeranna collaborates with scholars based in United States, India and Canada. Veeranna's co-authors include Ralph A. Nixon, Mala V. Rao, Aidong Yuan, Harish C. Pant, Ashok B. Kulkarni, Toshio Ohshima, Roscoe O. Brady, Glenn Longenecker, Jerrold M. Ward and H. C. Pant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Veeranna

36 papers receiving 3.3k citations

Hit Papers

Targeted disruption of the cyclin-dependent kinase 5 gene... 1996 2026 2006 2016 1996 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veeranna United States 22 1.6k 1.1k 1.0k 695 540 37 3.4k
Eiichiro Nagata Japan 30 2.1k 1.3× 670 0.6× 1.2k 1.2× 588 0.8× 485 0.9× 117 4.0k
Gustavo Pigino United States 28 1.8k 1.1× 1.1k 1.0× 1.4k 1.4× 1.9k 2.7× 575 1.1× 33 3.9k
Michio Niinobe Japan 33 3.0k 1.8× 1.3k 1.3× 1.3k 1.3× 700 1.0× 212 0.4× 64 4.7k
Alfredo Gorio Italy 35 2.1k 1.3× 456 0.4× 2.4k 2.4× 766 1.1× 447 0.8× 151 5.1k
Jean‐Christophe Deloulme France 31 2.6k 1.6× 626 0.6× 1.4k 1.4× 372 0.5× 234 0.4× 64 4.1k
Shernaz X. Bamji Canada 32 2.0k 1.3× 609 0.6× 1.9k 1.9× 579 0.8× 266 0.5× 47 3.8k
Hosung Jung South Korea 27 1.8k 1.1× 407 0.4× 1.1k 1.1× 840 1.2× 215 0.4× 56 3.5k
Nicholas W. Seeds United States 37 2.0k 1.3× 867 0.8× 1.4k 1.3× 329 0.5× 291 0.5× 73 4.2k
Lucia Notterpek United States 36 1.6k 1.0× 722 0.7× 1.8k 1.8× 822 1.2× 732 1.4× 76 4.1k
Anna Logvinova United States 17 2.0k 1.2× 631 0.6× 1.2k 1.2× 458 0.7× 342 0.6× 20 3.9k

Countries citing papers authored by Veeranna

Since Specialization
Citations

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

Fields of papers citing papers by Veeranna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veeranna

This figure shows the co-authorship network connecting the top 25 collaborators of Veeranna. A scholar is included among the top collaborators of Veeranna 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 Veeranna. Veeranna 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.
Berg, Martin J., Veeranna, Asok Kumar, et al.. (2025). Pathobiology of the autophagy-lysosomal pathway in the Huntington’s disease brain. Acta Neuropathologica Communications. 13(1). 228–228.
2.
Yuan, Aidong, Veeranna, Henry Sershen, et al.. (2018). Neurofilament light interaction with GluN1 modulates neurotransmission and schizophrenia-associated behaviors. Translational Psychiatry. 8(1). 167–167. 40 indexed citations
3.
Yuan, Aidong, Mala V. Rao, Veeranna, & Ralph A. Nixon. (2017). Neurofilaments and Neurofilament Proteins in Health and Disease. Cold Spring Harbor Perspectives in Biology. 9(4). a018309–a018309. 528 indexed citations breakdown →
4.
Yuan, Zhen, Henry Sershen, Veeranna, et al.. (2015). Neurofilament subunits are integral components of synapses and modulate neurotransmission and behavior in vivo. Molecular Psychiatry. 20(8). 986–994. 96 indexed citations
5.
Morales‐Corraliza, José, Matthew J. Mazzella, Veeranna, et al.. (2011). Calpastatin modulates APP processing in the brains of β-amyloid depositing but not wild-type mice. Neurobiology of Aging. 33(6). 1125.e9–1125.e18. 12 indexed citations
6.
Rao, Mala V., Panaiyur S. Mohan, Asok Kumar, et al.. (2011). The Myosin Va Head Domain Binds to the Neurofilament-L Rod and Modulates Endoplasmic Reticulum (ER) Content and Distribution within Axons. PLoS ONE. 6(2). e17087–e17087. 43 indexed citations
7.
Dyakin, Victor V., Yuanxin Chen, Craig A. Branch, et al.. (2010). The contributions of myelin and axonal caliber to transverse relaxation time in shiverer and neurofilament-deficient mouse models. NeuroImage. 51(3). 1098–1105. 19 indexed citations
8.
Veeranna, Dun‐Sheng Yang, Ju‐Hyun Lee, et al.. (2009). Declining phosphatases underlie aging-related hyperphosphorylation of neurofilaments. Neurobiology of Aging. 32(11). 2016–2029. 40 indexed citations
9.
Yuan, Aidong, Mala V. Rao, Takahiro Sasaki, et al.. (2006). α-Internexin Is Structurally and Functionally Associated with the Neurofilament Triplet Proteins in the Mature CNS. Journal of Neuroscience. 26(39). 10006–10019. 173 indexed citations
10.
Veeranna, Takahide Kaji, Barry Boland, et al.. (2004). Calpain Mediates Calcium-Induced Activation of the Erk1,2 MAPK Pathway and Cytoskeletal Phosphorylation in Neurons. American Journal Of Pathology. 165(3). 795–805. 108 indexed citations
11.
Noble, Wendy, Vicki Olm, Kazuyuki Takata, et al.. (2003). Cdk5 Is a Key Factor in Tau Aggregation and Tangle Formation In Vivo. Neuron. 38(4). 555–565. 405 indexed citations
12.
Zheng, Ya-Li, Bingsheng Li, Veeranna, & Harish C. Pant. (2003). Phosphorylation of the Head Domain of Neurofilament Protein (NF-M). Journal of Biological Chemistry. 278(26). 24026–24032. 43 indexed citations
13.
Pant, Harish C., Veeranna, & Philip Grant. (2001). Regulation of axonal neurofilament phosphorylation. Current topics in cellular regulation. 36. 133–III. 31 indexed citations
14.
Veeranna, et al.. (1997). Phosphorylation of human high molecular weight neurofilament protein (hNF-H) by neuronal cyclin-dependent kinase 5 (cdk5). Brain Research. 765(2). 259–266. 54 indexed citations
15.
Pant, H. C. & Veeranna. (1995). Neurofilament phosphorylation. Biochemistry and Cell Biology. 73(9-10). 575–592. 147 indexed citations
16.
Bhargava, Hemendra N., George A. Matwyshyn, Poluru L. Reddy, & Veeranna. (1994). Brain and spinal cord kappa opiate receptors and pharmacological responses to U-50,488H in rats of differing ages. Pharmacology Biochemistry and Behavior. 48(1). 87–91. 6 indexed citations
17.
Reddy, Poluru L., Veeranna, Sanjay N. Thorat, & Hemendra N. Bhargava. (1993). Evidence for the behavioral supersensitivity of dopamine D2 receptors without receptor up-regulation in morphine-abstinent rats. Brain Research. 607(1-2). 293–300. 21 indexed citations
18.
Veeranna, et al.. (1993). Effect of chronic administration of U-50,488H, a κ-opioid receptor agonist, on central dopamine D2 receptors of the rat. European Journal of Pharmacology. 235(1). 23–30. 5 indexed citations
19.
Thorat, Sanjay N., et al.. (1993). Biochemical and behavioral studies on the interaction between μ- and κ-opiate agonists in mice. Brain Research. 615(2). 191–198. 16 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026