Sikha Saha

86 total papers · 1.8k total citations
50 papers, 1.4k citations indexed

About

Sikha Saha is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Materials Chemistry. According to data from OpenAlex, Sikha Saha has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Endocrine and Autonomic Systems and 11 papers in Materials Chemistry. Recurrent topics in Sikha Saha's work include Neuroscience of respiration and sleep (13 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuropeptides and Animal Physiology (6 papers). Sikha Saha is often cited by papers focused on Neuroscience of respiration and sleep (13 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuropeptides and Animal Physiology (6 papers). Sikha Saha collaborates with scholars based in United Kingdom, India and Türkiye. Sikha Saha's co-authors include Trevor F.C. Batten, Z. Henderson, Peter N. McWilliam, Stavros Panagiotou, Kwabena Appenteng, Gin Jose, Stuart Kyle, Tamar Dugladze, Eberhard H. Buhl and Uwe Heinemann and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Brain Research.

In The Last Decade

Sikha Saha

49 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Sikha Saha	571	357	337	274	166	50	1.4k
Egor A. Turovsky	358 0.6×	125 0.4×	291 0.9×	539 2.0×	68 0.4×	75	1.7k
Jenny L. Fiedler	533 0.9×	173 0.5×	148 0.4×	398 1.5×	230 1.4×	57	1.8k
Eric R. Samuels	200 0.4×	454 1.3×	123 0.4×	201 0.7×	83 0.5×	22	1.2k
Jacques H. Abraini	490 0.9×	141 0.4×	145 0.4×	424 1.5×	70 0.4×	61	1.6k
Takeshi Y. Hiyama	286 0.5×	89 0.2×	307 0.9×	540 2.0×	261 1.6×	40	1.4k
Hao Jin	356 0.6×	168 0.5×	135 0.4×	530 1.9×	111 0.7×	59	1.8k
Dominik Felix	674 1.2×	255 0.7×	206 0.6×	605 2.2×	247 1.5×	48	1.6k
Li‐Juan Zhu	385 0.7×	131 0.4×	135 0.4×	515 1.9×	235 1.4×	59	1.8k
Araya Ruangkittisakul	332 0.6×	272 0.8×	522 1.5×	316 1.2×	288 1.7×	29	1.1k
Norifumi Terui	183 0.3×	104 0.3×	251 0.7×	272 1.0×	65 0.4×	37	1.2k

Countries citing papers authored by Sikha Saha

Since Specialization

Citations

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

Fields of papers citing papers by Sikha Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sikha Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sikha Saha. A scholar is included among the top collaborators of Sikha Saha 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 Sikha Saha. Sikha Saha 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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