Anushree Tripathi

435 total citations
21 papers, 267 citations indexed

About

Anushree Tripathi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Anushree Tripathi has authored 21 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Anushree Tripathi's work include Neuroscience and Neuropharmacology Research (4 papers), Machine Learning in Bioinformatics (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Anushree Tripathi is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Machine Learning in Bioinformatics (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Anushree Tripathi collaborates with scholars based in India, Sweden and Spain. Anushree Tripathi's co-authors include Elisa Mengual, Lucı́a Prensa, Krishna Misra, Jyoti Prakash Singh, Carolina Cebrián, Michael Spedding, Esther Schenker, Thérèse M. Jay, Soumya Iyengar and Arnaud Cressant and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Comparative Neurology.

In The Last Decade

Anushree Tripathi

20 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anushree Tripathi India 10 121 99 74 21 16 21 267
Fernando Leonardi‐Essmann Germany 9 170 1.4× 158 1.6× 56 0.8× 5 0.2× 11 0.7× 12 366
Emer Leahy United States 5 130 1.1× 196 2.0× 45 0.6× 27 1.3× 24 1.5× 6 337
Joanna Jędrzejewska‐Szmek Poland 9 134 1.1× 70 0.7× 95 1.3× 3 0.1× 11 0.7× 16 199
Christian Freichel Switzerland 11 202 1.7× 132 1.3× 48 0.6× 10 0.5× 6 0.4× 21 442
Joshua L. Smalley United States 9 116 1.0× 152 1.5× 27 0.4× 7 0.3× 20 1.3× 16 256
Uyen Pham United States 10 83 0.7× 135 1.4× 57 0.8× 16 0.8× 10 0.6× 12 263
Emmanuel J. Botzolakis United States 11 235 1.9× 191 1.9× 48 0.6× 9 0.4× 12 0.8× 11 338
Marcella M. Cline United States 10 57 0.5× 160 1.6× 9 0.1× 8 0.4× 5 0.3× 15 351
Xiaohua Wu China 5 161 1.3× 46 0.5× 73 1.0× 6 0.3× 3 0.2× 9 212
Curt Christoffersen United States 10 242 2.0× 175 1.8× 53 0.7× 22 1.0× 8 0.5× 15 369

Countries citing papers authored by Anushree Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Anushree Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anushree Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Anushree Tripathi. A scholar is included among the top collaborators of Anushree Tripathi 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 Anushree Tripathi. Anushree Tripathi 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.
Tripathi, Anushree, et al.. (2025). O-GlcNAc transferase couples nutrient availability to synaptic plasticity in paraventricular neurons to regulate satiety. Journal of Biological Chemistry. 302(2). 111124–111124.
2.
Tripathi, Anushree, et al.. (2023). In vivo spontaneous activity and coital-evoked inhibition of mouse accessory olfactory bulb output neurons. iScience. 26(9). 107545–107545. 2 indexed citations
3.
Singh, Jyoti Prakash, et al.. (2023). A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 2291–2301. 17 indexed citations
4.
Tripathi, Anushree, et al.. (2022). A Semi-Supervised Autoencoder-Based Approach for Protein Function Prediction.. PubMed. 26(10). 4957–4965. 1 indexed citations
5.
Tripathi, Anushree, et al.. (2022). Artificial Intelligence in Accelerating Drug Discovery andDevelopment. Recent Patents on Biotechnology. 17(1). 9–23. 23 indexed citations
6.
Tripathi, Anushree, et al.. (2022). A Semi-Supervised Autoencoder-Based Approach for Protein Function Prediction. IEEE Journal of Biomedical and Health Informatics. 26(10). 4957–4965. 10 indexed citations
7.
Tripathi, Anushree, Sebastian Sulis Sato, & Paolo Medini. (2021). Cortico-cortical connectivity behind acoustic information transfer to mouse orbitofrontal cortex is sensitive to neuromodulation and displays local sensory gating: relevance in disorders with auditory hallucinations?. Journal of Psychiatry and Neuroscience. 46(3). E371–E387. 8 indexed citations
8.
Tripathi, Anushree, Michael Spedding, Esther Schenker, et al.. (2020). Cognition- and circuit-based dysfunction in a mouse model of 22q11.2 microdeletion syndrome: effects of stress. Translational Psychiatry. 10(1). 41–41. 21 indexed citations
9.
Misra, Krishna, et al.. (2017). Next-Generation Sequencing for Drug Designing and Development: An Omics Approach for Cancer Treatment. International Journal of Pharmacology. 13(7). 709–723. 2 indexed citations
10.
Tripathi, Anushree & Krishna Misra. (2016). Designing and Development of Novel Curcumin Analogues/Congeners as Inhibitors of Breast Cancer Stem Cells Growth. SHILAP Revista de lepidopterología. 6 indexed citations
11.
Mongia, Smriti, Anushree Tripathi, & Elisa Mengual. (2016). Arborization patterns of amygdalopetal axons from the rat ventral pallidum. Brain Structure and Function. 221(9). 4549–4573. 3 indexed citations
12.
13.
Tripathi, Anushree & Krishna Misra. (2016). Inhibition of P-Glycoprotein Mediated Efflux of Paclitaxel by Coumarin Derivatives in Cancer Stem Cells: An In Silico Approach. Combinatorial Chemistry & High Throughput Screening. 19(6). 497–506. 15 indexed citations
14.
Tripathi, Anushree, Krishna Misra, & Rajesh K. Kesharwani. (2016). Study of Some Piperine Analogues on Drugs Efflux by Targeting P-glycoprotein, an in silico Approach. Letters in Drug Design & Discovery. 13(9). 952–961. 2 indexed citations
15.
Tripathi, Anushree, Esther Schenker, Michael Spedding, & Thérèse M. Jay. (2015). The hippocampal to prefrontal cortex circuit in mice: a promising electrophysiological signature in models for psychiatric disorders. Brain Structure and Function. 221(4). 2385–2391. 14 indexed citations
16.
Tripathi, Anushree, Durg Vijay Singh, Rajesh K. Kesharwani, & Krishna Misra. (2014). P-Glycoprotein: A Critical Comparison of Models Depicting Mechanism of Drug Efflux and Role of Modulators. Proceedings of the National Academy of Sciences India Section B Biological Sciences. 85(2). 359–375. 3 indexed citations
17.
Tripathi, Anushree, Lucı́a Prensa, & Elisa Mengual. (2012). Axonal branching patterns of ventral pallidal neurons in the rat. Brain Structure and Function. 218(5). 1133–1157. 50 indexed citations
18.
Tripathi, Anushree, Lucı́a Prensa, Carolina Cebrián, & Elisa Mengual. (2010). Axonal branching patterns of nucleus accumbens neurons in the rat. The Journal of Comparative Neurology. 518(22). 4649–4673. 54 indexed citations
19.
Tripathi, Anushree, et al.. (2008). Expression of δ- and μ-opioid receptors in the ventricular and subventricular zones of the developing human neocortex. Neuroscience Research. 61(3). 257–270. 24 indexed citations
20.
Singh, Dipali, et al.. (1970). An Overview of Computational Approaches in Structure Based Drug Design. SHILAP Revista de lepidopterología. 2(1). 53–61. 1 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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