Nisha Hirani

23 total papers · 534 total citations
11 papers, 354 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 354 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 Spaceflight effects on biology (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 Spaceflight effects on biology (3 papers). Nisha Hirani collaborates with scholars based in United Kingdom, Germany and France. Nisha Hirani's co-authors include Nathan W. Goehring, Marcel Westenberg, Colin T. Dolphin, Lars Hubatsch, Ian A. Hope, Paul A. Davis, Florent Péglion, Rukshala Illukkumbura, Daniel St Johnston and Josana Rodríguez 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 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nisha Hirani	196	115	109	57	43	11	354
Marion H. Sibley	205 1.0×	140 1.2×	50 0.5×	23 0.4×	15 0.3×	8	347
Don Moerman	196 1.0×	196 1.7×	47 0.4×	30 0.5×	13 0.3×	8	351
Tobias Wilms	295 1.5×	75 0.7×	80 0.7×	55 1.0×	25 0.6×	13	391
Shitian Li	136 0.7×	55 0.5×	21 0.2×	40 0.7×	42 1.0×	17	342
Falshruti B. Patel	173 0.9×	138 1.2×	140 1.3×	11 0.2×	12 0.3×	8	309
Liakot A. Khan	197 1.0×	202 1.8×	144 1.3×	15 0.3×	8 0.2×	16	377
Bradley S. DeMay	252 1.3×	18 0.2×	94 0.9×	123 2.2×	32 0.7×	6	377
Alice M. Rushforth	277 1.4×	189 1.6×	91 0.8×	61 1.1×	7 0.2×	8	368
Laia Castells‐Roca	286 1.5×	77 0.7×	26 0.2×	28 0.5×	12 0.3×	9	338
Nisha D’Mello	233 1.2×	133 1.2×	48 0.4×	45 0.8×	12 0.3×	9	338

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

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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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