Juliana Brown

31 total papers · 6.0k total citations
19 papers, 4.4k citations indexed

About

Juliana Brown is a scholar working on Molecular Biology, Surgery and Developmental Neuroscience. According to data from OpenAlex, Juliana Brown has authored 19 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Developmental Neuroscience. Recurrent topics in Juliana Brown's work include Pluripotent Stem Cells Research (7 papers), Pancreatic function and diabetes (6 papers) and Single-cell and spatial transcriptomics (5 papers). Juliana Brown is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Pancreatic function and diabetes (6 papers) and Single-cell and spatial transcriptomics (5 papers). Juliana Brown collaborates with scholars based in United States, Germany and France. Juliana Brown's co-authors include Douglas A. Melton, Yuval Dor, Andrew Kanarek, Qiao Zhou, Jayaraj Rajagopal, Paola Arlotta, Giorgia Quadrato, Guoqiang Gu, Eckhard Lammert and Siniša Hrvatin and has published in prestigious journals such as Nature, Nature Medicine and Neuron.

In The Last Decade

Juliana Brown

18 papers receiving 4.3k citations

Hit Papers

Adult pancreatic β-cells ... 2004 2026 2011 2018 2004 2008 2021 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Juliana Brown 2.8k 2.5k 1.7k 1.2k 259 19 4.4k
Shouhong Xuan 1.7k 0.6× 2.5k 1.0× 1.3k 0.8× 1.3k 1.1× 241 0.9× 32 4.4k
Olivia Kelly 3.8k 1.3× 4.6k 1.9× 1.8k 1.1× 1.1k 0.9× 280 1.1× 20 6.4k
Anne G. Bang 2.8k 1.0× 4.2k 1.7× 1.5k 0.9× 869 0.7× 801 3.1× 46 6.1k
Beatriz Sosa‐Pineda 2.8k 1.0× 2.2k 0.9× 1.9k 1.1× 1.1k 0.9× 130 0.5× 36 4.5k
Kevin A. D’Amour 4.3k 1.5× 4.8k 1.9× 1.8k 1.1× 1.3k 1.1× 497 1.9× 23 7.0k
Francisco J. Naya 1.4k 0.5× 3.2k 1.3× 1.2k 0.7× 507 0.4× 339 1.3× 42 4.3k
Ergeng Hao 1.7k 0.6× 1.9k 0.8× 935 0.6× 732 0.6× 114 0.4× 40 3.1k
Bryon E. Petersen 3.5k 1.3× 2.6k 1.0× 631 0.4× 386 0.3× 289 1.1× 78 6.4k
Susan Eliazer 3.2k 1.1× 3.5k 1.4× 1.3k 0.8× 902 0.8× 149 0.6× 14 4.8k
Maike Sander 4.7k 1.7× 3.8k 1.5× 2.8k 1.7× 1.7k 1.4× 182 0.7× 90 7.4k

Countries citing papers authored by Juliana Brown

Since Specialization
Citations

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

Fields of papers citing papers by Juliana Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliana Brown

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