Vaibhav P. Pai

1.7k total citations
30 papers, 1.1k citations indexed

About

Vaibhav P. Pai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Vaibhav P. Pai has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Plant Science. Recurrent topics in Vaibhav P. Pai's work include Planarian Biology and Electrostimulation (16 papers), Developmental Biology and Gene Regulation (7 papers) and Plant and Biological Electrophysiology Studies (6 papers). Vaibhav P. Pai is often cited by papers focused on Planarian Biology and Electrostimulation (16 papers), Developmental Biology and Gene Regulation (7 papers) and Plant and Biological Electrophysiology Studies (6 papers). Vaibhav P. Pai collaborates with scholars based in United States, Spain and India. Vaibhav P. Pai's co-authors include Michael Levin, Nelson D. Horseman, Joan M. Lemire, Aaron M. Marshall, Tal Shomrat, Sherry Aw, Laura L. Hernandez, Gufa Lin, Malinda A. Stull and Arthur R. Buckley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Vaibhav P. Pai

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaibhav P. Pai United States 18 761 342 325 96 83 30 1.1k
Gerald B. Call United States 17 869 1.1× 321 0.9× 75 0.2× 41 0.4× 237 2.9× 27 1.6k
Charles Plessy Japan 21 1.1k 1.5× 165 0.5× 130 0.4× 106 1.1× 141 1.7× 51 1.6k
José M. Dias Sweden 18 1.0k 1.4× 171 0.5× 247 0.8× 31 0.3× 178 2.1× 39 1.4k
Hui Jia China 20 1.5k 2.0× 54 0.2× 279 0.9× 26 0.3× 134 1.6× 65 2.0k
Corinne Blugeon France 22 1.1k 1.4× 199 0.6× 102 0.3× 33 0.3× 97 1.2× 46 1.6k
Nerina Gnesutta Italy 18 1.6k 2.2× 292 0.9× 1.1k 3.3× 14 0.1× 221 2.7× 33 2.2k
Gilles Herrada France 7 415 0.5× 630 1.8× 95 0.3× 83 0.9× 65 0.8× 8 1.3k
Ulrike Dohrmann Germany 15 751 1.0× 203 0.6× 410 1.3× 38 0.4× 110 1.3× 20 1.3k

Countries citing papers authored by Vaibhav P. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Vaibhav P. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaibhav P. Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav P. Pai. A scholar is included among the top collaborators of Vaibhav P. Pai 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 Vaibhav P. Pai. Vaibhav P. Pai 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.
Varley, Thomas F., et al.. (2025). Identification of brain-like complex information architectures in embryonic tissue of Xenopus laevis organoids. Communicative & Integrative Biology. 18(1). 2568307–2568307.
2.
Pai, Vaibhav P., et al.. (2025). Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence. Communications Biology. 8(1). 646–646. 1 indexed citations
3.
Tung, Angela, et al.. (2024). Embryos assist morphogenesis of others through calcium and ATP signaling mechanisms in collective teratogen resistance. Nature Communications. 15(1). 535–535. 6 indexed citations
4.
Pai, Vaibhav P., et al.. (2022). Screening Biophysical Sensors and Neurite Outgrowth Actuators in Human Induced-Pluripotent-Stem-Cell-Derived Neurons. Cells. 11(16). 2470–2470. 2 indexed citations
5.
Pai, Vaibhav P., et al.. (2020). HCN2 Channel-Induced Rescue of Brain Teratogenesis via Local and Long-Range Bioelectric Repair. Frontiers in Cellular Neuroscience. 14. 136–136. 39 indexed citations
6.
Pai, Vaibhav P. & Dany Spencer Adams. (2019). Preventing Ethanol-Induced Brain and Eye Morphology Defects Using Optogenetics. PubMed. 1(4). 260–272. 7 indexed citations
7.
Cervera, Javier, Vaibhav P. Pai, Michael Levin, & Salvador Mafé. (2019). From non-excitable single-cell to multicellular bioelectrical states supported by ion channels and gap junction proteins: Electrical potentials as distributed controllers. Progress in Biophysics and Molecular Biology. 149. 39–53. 34 indexed citations
8.
Pai, Vaibhav P., et al.. (2018). HCN2 Rescues brain defects by enforcing endogenous voltage pre-patterns. Nature Communications. 9(1). 998–998. 69 indexed citations
9.
Pai, Vaibhav P., et al.. (2017). The brain is required for normal muscle and nerve patterning during early Xenopus development. Nature Communications. 8(1). 587–587. 40 indexed citations
10.
Pai, Vaibhav P., Valerie Willocq, Joan M. Lemire, et al.. (2017). HCN4 ion channel function is required for early events that regulate anatomical left-right patterning in a Nodal- and Lefty asymmetric gene expression-independent manner. Biology Open. 6(10). 1445–1457. 24 indexed citations
11.
Pai, Vaibhav P., Joan M. Lemire, Jean‐François Paré, et al.. (2015). Endogenous Gradients of Resting Potential Instructively Pattern Embryonic Neural Tissue via Notch Signaling and Regulation of Proliferation. Journal of Neuroscience. 35(10). 4366–4385. 105 indexed citations
12.
Pai, Vaibhav P., Joan M. Lemire, Ying Chen, Gufa Lin, & Michael Levin. (2015). Local and long-range endogenous resting potential gradients antagonistically regulate apoptosis and proliferation in the embryonic CNS. The International Journal of Developmental Biology. 59(7-8-9). 327–340. 49 indexed citations
13.
14.
Pai, Vaibhav P., Sherry Aw, Tal Shomrat, Joan M. Lemire, & Michael Levin. (2012). Transmembrane voltage potential controls embryonic eye patterning in Xenopus laevis. Development. 139(3). 623–623. 4 indexed citations
15.
Pai, Vaibhav P., Sherry Aw, Tal Shomrat, Joan M. Lemire, & Michael Levin. (2011). Transmembrane voltage potential controls embryonic eye patterning in Xenopus laevis. Development. 139(2). 313–323. 167 indexed citations
16.
Pai, Vaibhav P. & Aaron M. Marshall. (2011). Intraluminal volume homeostasis. Communicative & Integrative Biology. 4(5). 532–537. 9 indexed citations
17.
Pai, Vaibhav P. & Nelson D. Horseman. (2011). Multiple Cellular Responses to Serotonin Contribute to Epithelial Homeostasis. PLoS ONE. 6(2). e17028–e17028. 28 indexed citations
18.
Pai, Vaibhav P., Aaron M. Marshall, Laura L. Hernandez, Arthur R. Buckley, & Nelson D. Horseman. (2009). Altered serotonin physiology in human breast cancers favors paradoxical growth and cell survival. Breast Cancer Research. 11(6). R81–R81. 116 indexed citations
19.
Pai, Vaibhav P. & Nelson D. Horseman. (2008). Biphasic Regulation of Mammary Epithelial Resistance by Serotonin through Activation of Multiple Pathways. Journal of Biological Chemistry. 283(45). 30901–30910. 84 indexed citations
20.
Marshall, Aaron M., Vaibhav P. Pai, Maureen A. Sartor, & Nelson D. Horseman. (2008). In vitro multipotent differentiation and barrier function of a human mammary epithelium. Cell and Tissue Research. 335(2). 383–395. 26 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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