Nisha Hirani

542 total citations
11 papers, 358 citations indexed

About

Nisha Hirani is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Nisha Hirani has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aging, 6 papers in Endocrine and Autonomic Systems and 4 papers in Physiology. Recurrent topics in Nisha Hirani's work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Circadian rhythm and melatonin (6 papers) and Light effects on plants (3 papers). Nisha Hirani is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (11 papers), Circadian rhythm and melatonin (6 papers) and Light effects on plants (3 papers). Nisha Hirani collaborates with scholars based in United Kingdom, Germany and France. Nisha Hirani's co-authors include Nathan W. Goehring, Lars Hubatsch, Marcel Westenberg, Colin T. Dolphin, Florent Péglion, Ian A. Hope, Paul A. Davis, Rukshala Illukkumbura, Josana Rodríguez and Daniel St Johnston and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Development.

In The Last Decade

Nisha Hirani

11 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Hirani United Kingdom 8 197 118 110 57 43 11 358
Thomas Kickenweiz Austria 5 394 2.0× 69 0.6× 44 0.4× 41 0.7× 91 2.1× 6 498
Chrysanthi Samara Greece 7 221 1.1× 177 1.5× 97 0.9× 38 0.7× 43 1.0× 10 491
Falshruti B. Patel United States 7 173 0.9× 138 1.2× 140 1.3× 11 0.2× 12 0.3× 8 309
Max E. Boeck United States 5 418 2.1× 279 2.4× 58 0.5× 38 0.7× 23 0.5× 6 551
Katrina M Longhini United States 5 177 0.9× 96 0.8× 221 2.0× 30 0.5× 4 0.1× 7 294
Remco A. Mentink Germany 13 417 2.1× 60 0.5× 40 0.4× 279 4.9× 12 0.3× 15 572
Fabrice Caudron Switzerland 10 637 3.2× 64 0.5× 301 2.7× 70 1.2× 29 0.7× 17 700
Tu Lu United States 6 502 2.5× 211 1.8× 79 0.7× 27 0.5× 18 0.4× 7 572
ChangHwan Lee United States 12 387 2.0× 125 1.1× 40 0.4× 80 1.4× 19 0.4× 17 494
Barbara D. Page United States 9 427 2.2× 221 1.9× 190 1.7× 87 1.5× 33 0.8× 9 550

Countries citing papers authored by Nisha Hirani

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Hirani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Hirani

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

All Works

11 of 11 papers shown
1.
Hirani, Nisha, David C. Briggs, Ian A. Taylor, et al.. (2024). Optimized PAR-2 RING dimerization mediates cooperative and selective membrane binding for robust cell polarity. The EMBO Journal. 43(15). 3214–3239. 3 indexed citations
2.
Illukkumbura, Rukshala, et al.. (2023). Design principles for selective polarization of PAR proteins by cortical flows. The Journal of Cell Biology. 222(8). 11 indexed citations
3.
Hirani, Nisha, et al.. (2023). Cleavage furrow-directed cortical flows bias PAR polarization pathways to link cell polarity to cell division. Current Biology. 33(20). 4298–4311.e6. 4 indexed citations
4.
Rodrigues, Nelio T. L., et al.. (2022). SAIBR: a simple, platform-independent method for spectral autofluorescence correction. Development. 149(14). 7 indexed citations
6.
Hubatsch, Lars, et al.. (2019). Regulated Activation of the PAR Polarity Network Ensures a Timely and Specific Response to Spatial Cues. Current Biology. 29(12). 1911–1923.e5. 38 indexed citations
7.
Hirani, Nisha, et al.. (2019). Anterior-enriched filopodia create the appearance of asymmetric membrane microdomains in polarizing C. elegans zygotes. Journal of Cell Science. 132(14). 11 indexed citations
8.
Hubatsch, Lars, Florent Péglion, Nelio T. L. Rodrigues, et al.. (2019). A cell-size threshold limits cell polarity and asymmetric division potential. Nature Physics. 15(10). 1078–1085. 39 indexed citations
9.
Rodríguez, Josana, Florent Péglion, Lars Hubatsch, et al.. (2017). aPKC Cycles between Functionally Distinct PAR Protein Assemblies to Drive Cell Polarity. Developmental Cell. 42(4). 400–415.e9. 114 indexed citations
10.
Hirani, Nisha, Marcel Westenberg, Paul T. Seed, Mark I.R. Petalcorin, & Colin T. Dolphin. (2016). C. elegansflavin-containing monooxygenase-4 is essential for osmoregulation in hypotonic stress. Biology Open. 5(5). 537–549. 11 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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