Nima Ghitani

1.7k total citations · 2 hit papers
14 papers, 1.1k citations indexed

About

Nima Ghitani is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Nima Ghitani has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 5 papers in Cognitive Neuroscience. Recurrent topics in Nima Ghitani's work include Neural dynamics and brain function (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Pain Mechanisms and Treatments (4 papers). Nima Ghitani is often cited by papers focused on Neural dynamics and brain function (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Pain Mechanisms and Treatments (4 papers). Nima Ghitani collaborates with scholars based in United States, Denmark and Germany. Nima Ghitani's co-authors include Alexander T. Chesler, Daniel Huber, Karel Svoboda, Leopoldo Petreanu, Tomáš Hromádka, Zachary F. Mainen, Sachin Ranade, James H. Thompson, Arnab Barik and Marcin Szczot and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Nima Ghitani

14 papers receiving 1.1k 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.

PIEZO2 in sensory neurons and urothelial cells coordinates urination

2020 132 citations Kara L. Marshall, Dimah Saade et al. Nature profile →
Trigeminal ganglion neurons are directly activated by influx of CSF solutes in a migraine model

2024 39 citations Martin Kaag Rasmussen, Kjeld Møllgård et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nima Ghitani United States	11	543	401	361	317	123	14	1.1k
Jizhe Hao France	13	326 0.6×	436 1.1×	223 0.6×	490 1.5×	245 2.0×	14	1.2k
Ryo Ikeda Japan	14	276 0.5×	528 1.3×	145 0.4×	345 1.1×	82 0.7×	28	903
Laura Kus United States	14	548 1.0×	318 0.8×	230 0.6×	358 1.1×	162 1.3×	17	1.1k
Ana Mrejeru United States	11	683 1.3×	448 1.1×	268 0.7×	603 1.9×	38 0.3×	11	1.3k
Boris V. Safronov Portugal	26	974 1.8×	952 2.4×	257 0.7×	750 2.4×	93 0.8×	69	1.8k
I. Daou United States	6	263 0.5×	651 1.6×	71 0.2×	399 1.3×	124 1.0×	9	1.0k
S. Abid Hussaini United States	16	650 1.2×	684 1.7×	483 1.3×	346 1.1×	28 0.2×	22	1.5k
Bao-Xia Han United States	14	377 0.7×	147 0.4×	333 0.9×	187 0.6×	87 0.7×	17	905
Christiane Wetzel Germany	10	329 0.6×	773 1.9×	88 0.2×	674 2.1×	323 2.6×	10	1.3k
Hélène Bras France	22	879 1.6×	332 0.8×	396 1.1×	415 1.3×	45 0.4×	40	1.7k

Countries citing papers authored by Nima Ghitani

Since Specialization

Citations

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

Fields of papers citing papers by Nima Ghitani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Ghitani

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

All Works

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14 of 14 papers shown

Ghitani, Nima, Lars J. von Buchholtz, Mélanie Falgairolle, et al.. (2025). A distributed coding logic for thermosensation and inflammatory pain. Nature. 642(8069). 1016–1023. 3 indexed citations

Rasmussen, Martin Kaag, Kjeld Møllgård, Peter A. R. Bork, et al.. (2024). Trigeminal ganglion neurons are directly activated by influx of CSF solutes in a migraine model. Science. 385(6704). 80–86. 39 indexed citations breakdown →

Buchholtz, Lars J. von, Nima Ghitani, Ruby M. Lam, et al.. (2020). Decoding Cellular Mechanisms for Mechanosensory Discrimination. Neuron. 109(2). 285–298.e5. 51 indexed citations

Marshall, Kara L., Dimah Saade, Nima Ghitani, et al.. (2020). PIEZO2 in sensory neurons and urothelial cells coordinates urination. Nature. 588(7837). 290–295. 132 indexed citations breakdown →

Szczot, Marcin, Jaquette Liljencrantz, Nima Ghitani, et al.. (2018). PIEZO2 mediates injury-induced tactile pain in mice and humans. Science Translational Medicine. 10(462). 212 indexed citations

Barik, Arnab, et al.. (2018). A Brainstem-Spinal Circuit Controlling Nocifensive Behavior. Neuron. 100(6). 1491–1503.e3. 82 indexed citations

Ghitani, Nima, Arnab Barik, Marcin Szczot, et al.. (2017). Specialized Mechanosensory Nociceptors Mediating Rapid Responses to Hair Pull. Neuron. 95(4). 944–954.e4. 78 indexed citations

Ghitani, Nima, Peter O. Bayguinov, Michele A. Basso, & Meyer B. Jackson. (2016). A sodium afterdepolarization in rat superior colliculus neurons and its contribution to population activity. Journal of Neurophysiology. 116(1). 191–200. 6 indexed citations

Bayguinov, Peter O., Nima Ghitani, Meyer B. Jackson, & Michele A. Basso. (2015). A hard-wired priority map in the superior colliculus shaped by asymmetric inhibitory circuitry. Journal of Neurophysiology. 114(1). 662–676. 14 indexed citations

10.

Ghitani, Nima, et al.. (2014). Excitatory Synaptic Feedback from the Motor Layer to the Sensory Layers of the Superior Colliculus. Journal of Neuroscience. 34(20). 6822–6833. 28 indexed citations

11.

Ghitani, Nima, et al.. (2014). Single-trial imaging of spikes and synaptic potentials in single neurons in brain slices with genetically encoded hybrid voltage sensor. Journal of Neurophysiology. 113(4). 1249–1259. 35 indexed citations

12.

Zheng, Shuqiu, Nima Ghitani, Jessica S. Blackburn, Jeh-Ping Liu, & Scott Zeitlin. (2012). A series of N-terminal epitope tagged Hdh knock-in alleles expressing normal and mutant huntingtin: their application to understanding the effect of increasing the length of normal huntingtin’s polyglutamine stretch on CAG140 mouse model pathogenesis. Molecular Brain. 5(1). 28–28. 15 indexed citations

13.

Blackburn, Jessica S., et al.. (2009). Generation of conditional Hoxc8 loss‐of‐function and Hoxc8→Hoxc9 replacement alleles in mice. genesis. 47(10). 680–687. 4 indexed citations

14.

Huber, Daniel, Leopoldo Petreanu, Nima Ghitani, et al.. (2007). Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice. Nature. 451(7174). 61–64. 392 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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