Rashmit Kaur

458 total citations
9 papers, 375 citations indexed

About

Rashmit Kaur is a scholar working on Cellular and Molecular Neuroscience, Physiology and Immunology. According to data from OpenAlex, Rashmit Kaur has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Rashmit Kaur's work include Neurobiology and Insect Physiology Research (4 papers), Adenosine and Purinergic Signaling (3 papers) and Adolescent and Pediatric Healthcare (2 papers). Rashmit Kaur is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Adenosine and Purinergic Signaling (3 papers) and Adolescent and Pediatric Healthcare (2 papers). Rashmit Kaur collaborates with scholars based in United Kingdom, Austria and Germany. Rashmit Kaur's co-authors include Iain P. Chessell, A.D. Michel, P.P.A. Humphrey, Gary Buell, Suzanne Herren, Denise Gretener, Ginetta Collo, Caroline Grahames, Marie Kosco‐Vilbois and Thomas Hummel and has published in prestigious journals such as Nature Communications, Blood and Scientific Reports.

In The Last Decade

Rashmit Kaur

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashmit Kaur United Kingdom 7 180 120 80 72 43 9 375
Paromita Majumder Brazil 14 78 0.4× 379 3.2× 99 1.2× 38 0.5× 56 1.3× 18 563
Laricia Bragg United Kingdom 10 241 1.3× 212 1.8× 51 0.6× 26 0.4× 82 1.9× 13 387
Linda A. Landon United States 13 93 0.5× 363 3.0× 129 1.6× 31 0.4× 53 1.2× 16 584
Massimiliano Bicego Italy 10 133 0.7× 454 3.8× 52 0.7× 10 0.1× 128 3.0× 12 608
Catherine J. Spellicy United States 13 41 0.2× 484 4.0× 128 1.6× 17 0.2× 4 0.1× 20 587
Howard S. Moskowitz United States 11 41 0.2× 436 3.6× 203 2.5× 16 0.2× 7 0.2× 24 650
Kyoko Ibaraki Japan 10 9 0.1× 211 1.8× 207 2.6× 42 0.6× 5 0.1× 16 424
Xianren Wang China 12 22 0.1× 192 1.6× 16 0.2× 21 0.3× 13 0.3× 35 571
Alessandra Maria Casano Germany 6 28 0.2× 146 1.2× 47 0.6× 145 2.0× 12 0.3× 8 432
Arlek M. González‐Jamett Chile 14 29 0.2× 334 2.8× 125 1.6× 21 0.3× 21 0.5× 24 477

Countries citing papers authored by Rashmit Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Rashmit Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmit Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Rashmit Kaur. A scholar is included among the top collaborators of Rashmit Kaur 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 Rashmit Kaur. Rashmit Kaur 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.
Luo, Wenshu, David Lukacsovich, Csaba Varga, et al.. (2023). Commissural dentate granule cell projections and their rapid formation in the adult brain. PNAS Nexus. 2(4). pgad088–pgad088. 4 indexed citations
2.
Goyal, Gaurav, et al.. (2019). Inter-axonal recognition organizes Drosophila olfactory map formation. Scientific Reports. 9(1). 11554–11554. 8 indexed citations
3.
Kaur, Rashmit, et al.. (2019). Pioneer interneurons instruct bilaterality in the Drosophila olfactory sensory map. Science Advances. 5(10). eaaw5537–eaaw5537. 5 indexed citations
4.
Pende, Marko, Klaus Becker, Saiedeh Saghafi, et al.. (2018). High-resolution ultramicroscopy of the developing and adult nervous system in optically cleared Drosophila melanogaster. Nature Communications. 9(1). 4731–4731. 54 indexed citations
5.
Kaur, Rashmit, Xuechen Zhu, Andrew J. Moorhouse, & Peter H. Barry. (2001). IP3-Gated Channels and their Occurrence Relative to CNG Channels in the Soma and Dendritic Knob of Rat Olfactory Receptor Neurons. The Journal of Membrane Biology. 181(2). 91–105. 21 indexed citations
6.
Michel, A.D., Rashmit Kaur, Iain P. Chessell, & P.P.A. Humphrey. (2000). Antagonist effects on human P2X7 receptor‐mediated cellular accumulation of YO‐PRO‐1. British Journal of Pharmacology. 130(3). 513–520. 47 indexed citations
7.
Garcion, Emmanuel, Joanne Ferguson, Emma E. Frost, et al.. (1999). Myelination and behaviour of tenascin‐C null transgenic mice. European Journal of Neuroscience. 11(9). 3082–3092. 53 indexed citations
8.
Buell, Gary, Iain P. Chessell, A.D. Michel, et al.. (1998). Blockade of Human P2X7 Receptor Function With a Monoclonal Antibody. Blood. 92(10). 3521–3528. 171 indexed citations
9.
Buell, Gary, Iain P. Chessell, A.D. Michel, et al.. (1998). Blockade of Human P2X7 Receptor Function With a Monoclonal Antibody. Blood. 92(10). 3521–3528. 12 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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