Ruchi Parekh
- Cellular and Molecular Neuroscience top 5%
- Biophysics top 1%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Co-authors
- Giorgio A. AscoliKaiyu WangFei WangNora ForknallBarry J. DicksonTansy YangMaryam HalaviKelly Hamilton
- Topics
- Neurobiology and Insect Physiology Research (8 papers)Cell Image Analysis Techniques (7 papers)Advanced Fluorescence Microscopy Techniques (6 papers)
- Journals
- NatureNeuronCurrent Biology
- Partner nations
- United StatesAustralia
In The Last Decade
Ruchi Parekh
16 papers receiving 880 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 506
- Biophysics 274
- Genetics 267
- Ecology, Evolution, Behavior and Systematics 225
- Molecular Biology 175
Countries citing papers authored by Ruchi Parekh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selectionbreakdown → | 197 |
| 2 | 66 | |
| 3 | 28 | |
| 4 | 54 | |
| 5 | 93 | |
| 6 | 82 | |
| 7 | 13 | |
| 8 | 25 | |
| 9 | 41 | |
| 10 | 37 | |
| 11 | 139 | |
| 12 | 3 | |
| 13 | 94 | |
| 14 | 9 | |
| 15 | Interactions between oriens, basket and pyramidal cells during in vitro seizure-like events in CA1 of the rat hippocampus | 2 |
| 16 | Comparison of performance of variants of single-layer perceptron algorithms on nonseparable data | 3 |
About Ruchi Parekh
Ruchi Parekh is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 886 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Biophysics (274 citations), Cellular and Molecular Neuroscience (506 citations) and Ecology, Evolution, Behavior and Systematics (225 citations). Ruchi Parekh has collaborated with scholars based in United States and Australia. Frequent 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. Their work appears in journals such as Nature, Neuron and Current Biology.
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.