Rachel C. Brown

43 total papers · 2.9k total citations
32 papers, 2.2k citations indexed

About

Rachel C. Brown is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rachel C. Brown has authored 32 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 9 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rachel C. Brown's work include Barrier Structure and Function Studies (11 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Connexins and lens biology (6 papers). Rachel C. Brown is often cited by papers focused on Barrier Structure and Function Studies (11 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Connexins and lens biology (6 papers). Rachel C. Brown collaborates with scholars based in United States, United Kingdom and India. Rachel C. Brown's co-authors include Thomas P. Davis, Roger G. O’Neil, Vassilios Papadopoulos, Andrew P. Morris, Richard D. Egleton, Jason D. Huber, Penelope A. Lewis, Roozbeh Rezaie, Neil Roberts and Robin Dunbar and has published in prestigious journals such as Gastroenterology, PLoS ONE and NeuroImage.

In The Last Decade

Rachel C. Brown

32 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Rachel C. Brown 724 674 387 281 232 32 2.2k
Ljubiša Vitković 640 0.9× 751 1.1× 448 1.2× 386 1.4× 90 0.4× 49 2.4k
Paul J. L. M. Strijbos 740 1.0× 503 0.7× 707 1.8× 634 2.3× 148 0.6× 37 2.3k
David Martin 746 1.0× 791 1.2× 723 1.9× 264 0.9× 74 0.3× 42 2.5k
J M Hill 747 1.0× 396 0.6× 882 2.3× 378 1.3× 141 0.6× 22 2.8k
Hirokazu Fujikawa 671 0.9× 232 0.3× 382 1.0× 208 0.7× 95 0.4× 23 1.7k
Zsolt Csaba 786 1.1× 227 0.3× 467 1.2× 160 0.6× 185 0.8× 63 2.1k
Alice Guyon 801 1.1× 799 1.2× 905 2.3× 353 1.3× 380 1.6× 62 2.7k
Elisenda Sanz 1.4k 2.0× 370 0.5× 644 1.7× 409 1.5× 88 0.4× 35 2.7k
Baptiste Lacoste 1.0k 1.4× 1.1k 1.6× 495 1.3× 525 1.9× 207 0.9× 49 3.0k
Roberta De Simone 819 1.1× 1.1k 1.7× 577 1.5× 432 1.5× 112 0.5× 57 2.8k

Countries citing papers authored by Rachel C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Rachel C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel C. Brown. 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 Rachel C. Brown. The network helps show where Rachel C. Brown may publish in the future.

Co-authorship network of co-authors of Rachel C. Brown

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026