Ruchi Parekh

3.8k total citations · 1 hit paper
16 papers, 886 citations indexed

About

Ruchi Parekh is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Genetics. According to data from OpenAlex, Ruchi Parekh has authored 16 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Biophysics and 5 papers in Genetics. Recurrent topics in Ruchi Parekh's work include Neurobiology and Insect Physiology Research (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Ruchi Parekh is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Ruchi Parekh collaborates with scholars based in United States and Australia. Ruchi Parekh's co-authors include Giorgio A. Ascoli, Kaiyu Wang, Fei Wang, Nora Forknall, Barry J. Dickson, Tansy Yang, Maryam Halavi, Kelly Hamilton, Christopher Patrick and Davi D. Bock and has published in prestigious journals such as Nature, Neuron and Current Biology.

In The Last Decade

Ruchi Parekh

16 papers receiving 880 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

2021 197 citations Brad K. Hulse, Hannah Haberkern et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruchi Parekh United States	12	506	274	267	225	175	16	886
Jan Felix Evers United Kingdom	17	617 1.2×	128 0.5×	173 0.6×	100 0.4×	284 1.6×	21	947
Paloma T. Gonzalez-Bellido United States	14	359 0.7×	121 0.4×	88 0.3×	281 1.2×	92 0.5×	24	693
Marta Costa United Kingdom	16	767 1.5×	87 0.3×	381 1.4×	260 1.2×	209 1.2×	22	1.0k
James D. Manton United Kingdom	13	264 0.5×	170 0.6×	159 0.6×	95 0.4×	120 0.7×	23	549
Davi D. Bock United States	21	1.4k 2.7×	345 1.3×	463 1.7×	354 1.6×	344 2.0×	39	2.2k
Nadine Randel Germany	11	335 0.7×	128 0.5×	75 0.3×	131 0.6×	245 1.4×	12	753
Friedrich Förstner Germany	9	516 1.0×	285 1.0×	107 0.4×	75 0.3×	270 1.5×	9	938
Jan Funke United States	13	214 0.4×	219 0.8×	96 0.4×	78 0.3×	153 0.9×	29	757
Louis K. Scheffer United States	15	331 0.7×	123 0.4×	87 0.3×	76 0.3×	129 0.7×	36	1.0k
Aaron D. Ostrovsky United Kingdom	8	493 1.0×	52 0.2×	270 1.0×	227 1.0×	213 1.2×	11	713

Countries citing papers authored by Ruchi Parekh

Since Specialization

Citations

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

Fields of papers citing papers by Ruchi Parekh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruchi Parekh

This figure shows the co-authorship network connecting the top 25 collaborators of Ruchi Parekh. A scholar is included among the top collaborators of Ruchi Parekh 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 Ruchi Parekh. Ruchi Parekh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Hulse, Brad K., Hannah Haberkern, Romain Franconville, et al.. (2021). A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection. eLife. 10. 197 indexed citations breakdown →

Wang, Kaiyu, Fei Wang, Nora Forknall, et al.. (2020). Neural circuit mechanisms of sexual receptivity in Drosophila females. Nature. 589(7843). 577–581. 66 indexed citations

Wang, Fei, Kaiyu Wang, Nora Forknall, Ruchi Parekh, & Barry J. Dickson. (2020). Circuit and Behavioral Mechanisms of Sexual Rejection by Drosophila Females. Current Biology. 30(19). 3749–3760.e3. 28 indexed citations

Schretter, Catherine E., Yoshinori Aso, Alice A. Robie, et al.. (2020). Cell types and neuronal circuitry underlying female aggression in Drosophila. eLife. 9. 54 indexed citations

Wang, Fei, Kaiyu Wang, Nora Forknall, et al.. (2020). Neural circuitry linking mating and egg laying in Drosophila females. Nature. 579(7797). 101–105. 93 indexed citations

Ache, Jan M., Ruchi Parekh, Patrick Breads, et al.. (2019). Neural Basis for Looming Size and Velocity Encoding in the Drosophila Giant Fiber Escape Pathway. Current Biology. 29(6). 1073–1081.e4. 82 indexed citations

Nanda, Sumit, Maurizio Bergamino, Sridevi Polavaram, et al.. (2015). Doubling up on the Fly: NeuroMorpho.Org Meets Big Data. Neuroinformatics. 13(1). 127–129. 13 indexed citations

Parekh, Ruchi, Rubén Armañanzas, & Giorgio A. Ascoli. (2015). The importance of metadata to assess information content in digital reconstructions of neuronal morphology. Cell and Tissue Research. 360(1). 121–127. 25 indexed citations

Polavaram, Sridevi, Todd A. Gillette, Ruchi Parekh, & Giorgio A. Ascoli. (2014). Statistical analysis and data mining of digital reconstructions of dendritic morphologies. Frontiers in Neuroanatomy. 8. 138–138. 41 indexed citations

10.

Parekh, Ruchi & Giorgio A. Ascoli. (2014). Quantitative Investigations of Axonal and Dendritic Arbors. The Neuroscientist. 21(3). 241–254. 37 indexed citations

11.

Parekh, Ruchi & Giorgio A. Ascoli. (2013). Neuronal Morphology Goes Digital: A Research Hub for Cellular and System Neuroscience. Neuron. 77(6). 1017–1038. 139 indexed citations

12.

Parekh, Ruchi, et al.. (2013). Neuronal Morphology Goes Digital: A Research Hub for Cellular and System Neuroscience. Neuron. 78(1). 206–206. 3 indexed citations

13.

Halavi, Maryam, Kelly Hamilton, Ruchi Parekh, & Giorgio A. Ascoli. (2012). Digital Reconstructions of Neuronal Morphology: Three Decades of Research Trends. Frontiers in Neuroscience. 6. 49–49. 94 indexed citations

14.

Wei, Yina, Ghanim Ullah, Ruchi Parekh, Jokūbas Žiburkus, & Steven J. Schiff. (2011). Kalman filter tracking of intracellular neuronal voltage and current. 13. 5844–5849. 9 indexed citations

15.

Parekh, Ruchi. (2010). Interactions between oriens, basket and pyramidal cells during in vitro seizure-like events in CA1 of the rat hippocampus. 2 indexed citations

16.

Parekh, Ruchi. (2000). Comparison of performance of variants of single-layer perceptron algorithms on nonseparable data. Medical Entomology and Zoology. 8. 415–438. 3 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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