Manoj K. Gottipati

519 total citations
24 papers, 417 citations indexed

About

Manoj K. Gottipati is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology. According to data from OpenAlex, Manoj K. Gottipati has authored 24 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 8 papers in Developmental Neuroscience and 7 papers in Neurology. Recurrent topics in Manoj K. Gottipati's work include Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neuroscience and Neural Engineering (6 papers). Manoj K. Gottipati is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neuroscience and Neural Engineering (6 papers). Manoj K. Gottipati collaborates with scholars based in United States, Croatia and Saudi Arabia. Manoj K. Gottipati's co-authors include Vladimir Parpura, Ryan J. Gilbert, Elena Bekyarova, Robert C. Haddon, Jonathan M. Zuidema, Phillip G. Popovich, Irina Kaļiņina, Michelle Gray, Reno C. Reyes and Mathieu Lesort and has published in prestigious journals such as Nano Letters, Biomaterials and Scientific Reports.

In The Last Decade

Manoj K. Gottipati

24 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoj K. Gottipati United States 12 245 118 100 83 69 24 417
Daniela Grumme Germany 8 271 1.1× 175 1.5× 77 0.8× 61 0.7× 122 1.8× 11 568
Kanelina Karali Greece 7 108 0.4× 154 1.3× 55 0.6× 81 1.0× 42 0.6× 10 451
Luciana Politti Cartarozzi Brazil 13 171 0.7× 81 0.7× 81 0.8× 38 0.5× 60 0.9× 29 423
Choya Yoon United States 7 252 1.0× 164 1.4× 104 1.0× 32 0.4× 117 1.7× 8 498
Mayara Vieira Mundim Brazil 11 124 0.5× 150 1.3× 78 0.8× 41 0.5× 115 1.7× 11 421
Balázs Varga United Kingdom 8 141 0.6× 157 1.3× 69 0.7× 45 0.5× 102 1.5× 13 379
Amanda Mulligan United States 6 338 1.4× 102 0.9× 41 0.4× 66 0.8× 84 1.2× 7 402
Xianghai Wang China 15 270 1.1× 135 1.1× 37 0.4× 68 0.8× 83 1.2× 23 482
Victor Túlio Ribeiro‐Resende Brazil 12 305 1.2× 114 1.0× 38 0.4× 63 0.8× 82 1.2× 21 450
Nicole Geremia Canada 8 407 1.7× 124 1.1× 63 0.6× 85 1.0× 101 1.5× 10 553

Countries citing papers authored by Manoj K. Gottipati

Since Specialization
Citations

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

Fields of papers citing papers by Manoj K. Gottipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj K. Gottipati

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj K. Gottipati. A scholar is included among the top collaborators of Manoj K. Gottipati 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 Manoj K. Gottipati. Manoj K. Gottipati 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.
2.
Gottipati, Manoj K., Devan L. Puhl, Zhen Guan, et al.. (2021). Acute Dose-Dependent Neuroprotective Effects of Poly(pro-17β-estradiol) in a Mouse Model of Spinal Contusion Injury. ACS Chemical Neuroscience. 12(6). 959–965. 4 indexed citations
3.
Puhl, Devan L., et al.. (2020). Electrospun Fiber Scaffolds for Engineering Glial Cell Behavior to Promote Neural Regeneration. Bioengineering. 8(1). 4–4. 39 indexed citations
4.
Gottipati, Manoj K., Jonathan M. Zuidema, & Ryan J. Gilbert. (2020). Biomaterial strategies for creating in vitro astrocyte cultures resembling in vivo astrocyte morphologies and phenotypes. Current Opinion in Biomedical Engineering. 14. 67–74. 11 indexed citations
5.
Ziemba, Alexis M., et al.. (2020). Conventional immunomarkers stain a fraction of astrocytes in vitro: A comparison of rat cortical and spinal cord astrocytes in naïve and stimulated cultures. Journal of Neuroscience Research. 99(3). 806–826. 5 indexed citations
6.
Gottipati, Manoj K., Anthony R. D’Amato, Alexis M. Ziemba, Phillip G. Popovich, & Ryan J. Gilbert. (2020). TGFβ3 is neuroprotective and alleviates the neurotoxic response induced by aligned poly-l-lactic acid fibers on naïve and activated primary astrocytes. Acta Biomaterialia. 117. 273–282. 31 indexed citations
7.
Gottipati, Manoj K., Elena Bekyarova, Robert C. Haddon, & Vladimir Parpura. (2020). Chemically Functionalized Water-Soluble Single-Walled Carbon Nanotubes Obstruct Vesicular/Plasmalemmal Recycling in Astrocytes Down-Stream of Calcium Ions. Cells. 9(7). 1597–1597. 1 indexed citations
8.
Brennan, Faith H., et al.. (2019). Human immune cells infiltrate the spinal cord and impair recovery after spinal cord injury in humanized mice. Scientific Reports. 9(1). 19105–19105. 13 indexed citations
9.
Zuidema, Jonathan M., Ryan J. Gilbert, & Manoj K. Gottipati. (2018). Biomaterial Approaches to Modulate Reactive Astroglial Response. Cells Tissues Organs. 205(5-6). 372–395. 37 indexed citations
10.
11.
Goldstein, Evan Z., et al.. (2017). Intraspinal TLR4 activation promotes iron storage but does not protect neurons or oligodendrocytes from progressive iron-mediated damage. Experimental Neurology. 298(Pt A). 42–56. 23 indexed citations
12.
Tewari, Shivendra G., Manoj K. Gottipati, & Vladimir Parpura. (2016). Mathematical Modeling in Neuroscience: Neuronal Activity and Its Modulation by Astrocytes. Frontiers in Integrative Neuroscience. 10. 3–3. 7 indexed citations
13.
Gottipati, Manoj K., Elena Bekyarova, Robert C. Haddon, & Vladimir Parpura. (2015). Chemically functionalized single-walled carbon nanotubes enhance the glutamate uptake characteristics of mouse cortical astrocytes. Amino Acids. 47(7). 1379–1388. 16 indexed citations
14.
Gottipati, Manoj K., Elena Bekyarova, Michael Brenner, Robert C. Haddon, & Vladimir Parpura. (2014). Changes in the Morphology and Proliferation of Astrocytes Induced by Two Modalities of Chemically Functionalized Single-Walled Carbon Nanotubes are Differentially Mediated by Glial Fibrillary Acidic Protein. Nano Letters. 14(7). 3720–3727. 17 indexed citations
17.
Grubišić, Vladimir, Manoj K. Gottipati, Randy F. Stout, J. Robert Grammer, & Vladimir Parpura. (2013). Heterogeneity of myotubes generated by the MyoD and E12 basic helix-loop-helix transcription factors in otherwise non-differentiation growth conditions. Biomaterials. 35(7). 2188–2198. 4 indexed citations
18.
Gottipati, Manoj K., et al.. (2013). Method for the determination of trajectory angles of directional secretory vesicles in cultured astrocytes.. PubMed. 7. 48–52. 1 indexed citations
19.
Lee, William, Reno C. Reyes, Manoj K. Gottipati, et al.. (2013). Enhanced Ca2+-dependent glutamate release from astrocytes of the BACHD Huntington's disease mouse model. Neurobiology of Disease. 58. 192–199. 67 indexed citations
20.
Gottipati, Manoj K., et al.. (2013). Chemically Functionalized Single-Walled Carbon Nanotube Films Modulate the Morpho-Functional and Proliferative Characteristics of Astrocytes. Nano Letters. 13(9). 4387–4392. 22 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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