Nirmala Iyer

4.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Nirmala Iyer is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Genetics. According to data from OpenAlex, Nirmala Iyer has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Nirmala Iyer's work include Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Plant and Biological Electrophysiology Studies (2 papers). Nirmala Iyer is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Plant and Biological Electrophysiology Studies (2 papers). Nirmala Iyer collaborates with scholars based in United States, Germany and Australia. Nirmala Iyer's co-authors include Gerald M. Rubin, Tanya Wolff, Richard Axel, Yoshinori Aso, Yang Yu, Rebecca M. Johnston, Heather Dionne, Daisuke Hattori, Hiromu Tanimoto and Harald F. Hess and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nirmala Iyer

9 papers receiving 1.1k citations

Hit Papers

The neuronal architecture of the mushroom body provides a... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirmala Iyer United States 6 811 372 304 237 180 9 1.1k
Haojiang Luan United States 14 1.0k 1.2× 365 1.0× 510 1.7× 269 1.1× 102 0.6× 18 1.3k
Karen L Hibbard United States 7 748 0.9× 308 0.8× 313 1.0× 224 0.9× 80 0.4× 10 922
Keita Endo Japan 11 905 1.1× 306 0.8× 380 1.3× 187 0.8× 72 0.4× 18 1.2k
Zhengmei Mao United States 8 749 0.9× 261 0.7× 371 1.2× 157 0.7× 138 0.8× 10 1.1k
Maria Luísa Vasconcelos Portugal 11 959 1.2× 482 1.3× 335 1.1× 389 1.6× 118 0.7× 15 1.3k
Christopher J. Tabone United States 8 476 0.6× 226 0.6× 335 1.1× 145 0.6× 98 0.5× 12 953
Heather Dionne United States 14 862 1.1× 357 1.0× 658 2.2× 228 1.0× 307 1.7× 16 1.7k
Marta Costa United Kingdom 16 767 0.9× 381 1.0× 209 0.7× 260 1.1× 69 0.4× 22 1.0k
Suewei Lin Taiwan 17 1.1k 1.3× 453 1.2× 370 1.2× 311 1.3× 70 0.4× 27 1.3k

Countries citing papers authored by Nirmala Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Nirmala Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmala Iyer

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

All Works

9 of 9 papers shown
1.
Zhao, Arthur, Eyal Gruntman, Aljoscha Nern, et al.. (2025). Eye structure shapes neuron function in Drosophila motion vision. Nature. 646(8083). 135–142. 1 indexed citations
2.
Gur, Dvir, Andrew S. Moore, Song Pang, et al.. (2024). The physical and cellular mechanism of structural color change in zebrafish. Proceedings of the National Academy of Sciences. 121(23). e2308531121–e2308531121. 8 indexed citations
3.
Ritter, Alex T., Gleb Shtengel, C. Shan Xu, et al.. (2022). ESCRT-mediated membrane repair protects tumor-derived cells against T cell attack. Science. 376(6591). 377–382. 78 indexed citations
4.
Weigel, Aubrey V., Chi‐Lun Chang, Gleb Shtengel, et al.. (2021). ER-to-Golgi protein delivery through an interwoven, tubular network extending from ER. Cell. 184(9). 2412–2429.e16. 168 indexed citations
5.
Krüttner, Sebastian, Lisa Traunmüller, Ugur Dag, et al.. (2015). Synaptic Orb2A Bridges Memory Acquisition and Late Memory Consolidation in Drosophila. Cell Reports. 11(12). 1953–1965. 59 indexed citations
6.
Wolff, Tanya, Nirmala Iyer, & Gerald M. Rubin. (2015). Neuroarchitecture and neuroanatomy of the Drosophila central complex: A GAL4‐based dissection of protocerebral bridge neurons and circuits. The Journal of Comparative Neurology. 523(7). 1 indexed citations
7.
Wolff, Tanya, Nirmala Iyer, & Gerald M. Rubin. (2014). Neuroarchitecture and neuroanatomy of the Drosophila central complex: A GAL4‐based dissection of protocerebral bridge neurons and circuits. The Journal of Comparative Neurology. 523(7). 997–1037. 191 indexed citations
8.
Aso, Yoshinori, Daisuke Hattori, Yang Yu, et al.. (2014). The neuronal architecture of the mushroom body provides a logic for associative learning. eLife. 3. e04577–e04577. 634 indexed citations breakdown →
9.
Iyer, Nirmala & Suresh Kanekar. (1991). Predicted and Recommended Helping as a Function of Help-Seeking Context and Cost of Helping. The Journal of Social Psychology. 131(1). 135–138. 5 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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