Sanjay W. Pimplikar

4.7k total citations · 1 hit paper
42 papers, 3.8k citations indexed

About

Sanjay W. Pimplikar is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Sanjay W. Pimplikar has authored 42 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Physiology and 10 papers in Cell Biology. Recurrent topics in Sanjay W. Pimplikar's work include Alzheimer's disease research and treatments (20 papers), Cellular transport and secretion (8 papers) and Erythrocyte Function and Pathophysiology (5 papers). Sanjay W. Pimplikar is often cited by papers focused on Alzheimer's disease research and treatments (20 papers), Cellular transport and secretion (8 papers) and Erythrocyte Function and Pathophysiology (5 papers). Sanjay W. Pimplikar collaborates with scholars based in United States, Germany and Canada. Sanjay W. Pimplikar's co-authors include Kai Simons, Yuehua Gao, Bruce T. Lamb, Kaushik Ghosal, Robert G. Parton, Kathleen A. Ryan, Lukas A. Huber, Marino Zerial, Henriette van Praag and Mark P. Mattson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sanjay W. Pimplikar

42 papers receiving 3.7k citations

Hit Papers

TREM2 deficiency eliminates TREM2+ inflammatory macrophag... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay W. Pimplikar United States 26 1.9k 1.7k 900 804 657 42 3.8k
Antonio Migheli Italy 39 2.4k 1.3× 2.6k 1.5× 666 0.7× 1.4k 1.7× 1.1k 1.7× 83 6.1k
Minh Dang Nguyen Canada 32 940 0.5× 2.5k 1.4× 557 0.6× 1.1k 1.4× 1.1k 1.6× 70 5.7k
Carol M. Troy United States 32 1.2k 0.6× 2.8k 1.6× 663 0.7× 439 0.5× 1.3k 1.9× 65 4.6k
Hyang‐Sook Hoe South Korea 32 1.4k 0.7× 1.5k 0.8× 345 0.4× 620 0.8× 832 1.3× 92 3.3k
Jean‐Noël Octave Belgium 37 2.3k 1.2× 2.3k 1.4× 421 0.5× 584 0.7× 1.1k 1.6× 107 4.3k
Tiziana Borsello Italy 31 1.5k 0.8× 2.1k 1.2× 370 0.4× 742 0.9× 1.2k 1.8× 82 4.1k
Robert Siman United States 40 1.7k 0.9× 2.9k 1.6× 1.4k 1.5× 559 0.7× 1.5k 2.4× 63 5.4k
Satoshi Tsubuki Japan 28 2.6k 1.4× 2.4k 1.4× 923 1.0× 529 0.7× 1.0k 1.6× 40 4.9k
Panaiyur S. Mohan United States 31 2.3k 1.2× 1.9k 1.1× 1.7k 1.8× 488 0.6× 838 1.3× 44 5.1k
Oksana Berezovska United States 38 2.5k 1.3× 2.2k 1.2× 590 0.7× 381 0.5× 889 1.4× 85 4.1k

Countries citing papers authored by Sanjay W. Pimplikar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay W. Pimplikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay W. Pimplikar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay W. Pimplikar. A scholar is included among the top collaborators of Sanjay W. Pimplikar 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 Sanjay W. Pimplikar. Sanjay W. Pimplikar 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.
Morris, Jacqueline K., et al.. (2015). Decrease in levels of the evolutionarily conserved microRNA miR-124 affects oligodendrocyte numbers in Zebrafish, Danio rerio. Invertebrate Neuroscience. 15(3). 4–4. 15 indexed citations
3.
Bastian, Chinthasagar, et al.. (2015). JNK-interacting protein 1 mediates Alzheimer's-like pathological features in AICD-transgenic mice. Neurobiology of Aging. 36(8). 2370–2379. 5 indexed citations
4.
Pimplikar, Sanjay W.. (2014). Neuroinflammation in Alzheimer’s Disease: from Pathogenesis to a Therapeutic Target. Journal of Clinical Immunology. 34(S1). 64–69. 90 indexed citations
5.
Song, Pingan & Sanjay W. Pimplikar. (2012). Knockdown of Amyloid Precursor Protein in Zebrafish Causes Defects in Motor Axon Outgrowth. PLoS ONE. 7(4). e34209–e34209. 33 indexed citations
7.
Ghosal, Kaushik, et al.. (2010). APP Intracellular Domain Impairs Adult Neurogenesis in Transgenic Mice by Inducing Neuroinflammation. PLoS ONE. 5(7). e11866–e11866. 90 indexed citations
8.
Ghosal, Kaushik & Sanjay W. Pimplikar. (2010). Aging and excitotoxic stress exacerbate neural circuit reorganization in amyloid precursor protein intracellular domain transgenic mice. Neurobiology of Aging. 32(12). 2320.e1–2320.e9. 21 indexed citations
9.
Pimplikar, Sanjay W., Ralph A. Nixon, Nikolaos K. Robakis, Jie Shen, & Li-Huei Tsai. (2010). Amyloid-Independent Mechanisms in Alzheimer's Disease Pathogenesis. Journal of Neuroscience. 30(45). 14946–14954. 227 indexed citations
10.
Pimplikar, Sanjay W., et al.. (2010). Detection of APP Intracellular Domain in Brain Tissue. Methods in molecular biology. 670. 85–91. 12 indexed citations
11.
Ghosal, Kaushik, et al.. (2009). Alzheimer's disease-like pathological features in transgenic mice expressing the APP intracellular domain. Proceedings of the National Academy of Sciences. 106(43). 18367–18372. 208 indexed citations
12.
Liang, Jennifer O., et al.. (2009). Amyloid precursor protein is required for convergent-extension movements during Zebrafish development. Developmental Biology. 335(1). 1–11. 58 indexed citations
13.
Vogt, Daniel, David L. Thomas, Verónica Galván, et al.. (2009). Abnormal neuronal networks and seizure susceptibility in mice overexpressing the APP intracellular domain. Neurobiology of Aging. 32(9). 1725–1729. 97 indexed citations
14.
Varvel, Nicholas H., Kiran Bhaskar, Anita Patil, et al.. (2008). Aβ Oligomers Induce Neuronal Cell Cycle Events in Alzheimer's Disease. Journal of Neuroscience. 28(43). 10786–10793. 115 indexed citations
15.
Tartakoff, Alan M., A. Gregory Matera, Sanjay W. Pimplikar, & Thomas Weimbs. (2004). Regulation of nuclear functions – nucleocytoplasmic transport in context. European Journal of Cell Biology. 83(5). 185–192. 3 indexed citations
16.
Pimplikar, Sanjay W. & Kai Simons. (1993). Regulation of apical transport in epithelial cells by a Gsclass of heterotrimeric G protein. Nature. 362(6419). 456–458. 159 indexed citations
17.
Pimplikar, Sanjay W. & Kai Simons. (1993). Role of heterotrimeric G proteins in polarized membrane transport. Journal of Cell Science. 1993(Supplement_17). 27–32. 20 indexed citations
18.
Kobayashi, Toshihide, et al.. (1992). Sphingolipid transport from the trans‐Golgi network to the apical surface in permeabilized MDCK cells. FEBS Letters. 300(3). 227–231. 35 indexed citations
19.
Simons, Kai, Paul Dupree, Klaus Fiedler, et al.. (1992). Biogenesis of Cell-surface Polarity in Epithelial Cells and Neurons. Cold Spring Harbor Symposia on Quantitative Biology. 57(0). 611–619. 45 indexed citations
20.
Pimplikar, Sanjay W. & Reinhart A.F. Reithmeier. (1988). Studies on the interaction of matrix-bound inhibitor with Band 3, the anion transport protein of human erythrocyte membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 942(2). 253–261. 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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