Jennifer Brush

3.4k total citations
15 papers, 2.6k citations indexed

About

Jennifer Brush is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jennifer Brush has authored 15 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jennifer Brush's work include Adipose Tissue and Metabolism (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Fatty Acid Research and Health (3 papers). Jennifer Brush is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Fatty Acid Research and Health (3 papers). Jennifer Brush collaborates with scholars based in United States, United Kingdom and France. Jennifer Brush's co-authors include Audrey D. Goddard, Kenneth J. Hillan, Arnon Rosenthal, Austin Gurney, Wenlu Li, Gretchen Frantz, Alan Zhong, Steven W. Sherwood, Guohua Pan and Sean H. Adams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Jennifer Brush

15 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Brush United States 14 1.9k 394 382 379 319 15 2.6k
Lieve Umans Belgium 28 1.9k 1.0× 350 0.9× 598 1.6× 176 0.5× 325 1.0× 49 2.8k
Juha Saharinen Finland 25 1.9k 1.0× 473 1.2× 255 0.7× 299 0.8× 267 0.8× 34 3.0k
Frieder Schwenk Germany 17 2.5k 1.3× 429 1.1× 336 0.9× 1.0k 2.7× 294 0.9× 20 4.1k
Olivia Wendling France 23 1.8k 1.0× 297 0.8× 317 0.8× 265 0.7× 186 0.6× 37 2.6k
Daniela Virgintino Italy 30 862 0.5× 346 0.9× 225 0.6× 168 0.4× 316 1.0× 94 2.3k
James Gorman United States 11 1.1k 0.6× 375 1.0× 111 0.3× 994 2.6× 124 0.4× 14 2.2k
Kazuhito Toyo‐oka United States 27 2.0k 1.1× 268 0.7× 113 0.3× 495 1.3× 634 2.0× 52 2.9k
Ghislaine Hamard France 22 1.7k 0.9× 151 0.4× 315 0.8× 228 0.6× 269 0.8× 26 3.1k
Andrea Kranz Germany 27 2.3k 1.2× 283 0.7× 126 0.3× 315 0.8× 134 0.4× 44 3.2k
David J. Bernard United States 18 938 0.5× 177 0.4× 329 0.9× 448 1.2× 357 1.1× 33 1.8k

Countries citing papers authored by Jennifer Brush

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Brush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Brush

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

All Works

15 of 15 papers shown
1.
Yu, Xing, David A. Lewin, Alan Zhong, et al.. (2001). Overexpression of the human 2-oxoglutarate carrier lowers mitochondrial membrane potential in HEK-293 cells: contrast with the unique cold-induced mitochondrial carrier CGI-69. Biochemical Journal. 353(2). 369–375. 31 indexed citations
2.
Yu, Xing, Weiguang Mao, Alan Zhong, et al.. (2000). Characterization of novel UCP5/BMCP1 isoforms and differential regulation of UCP4 and UCP5 expression through dietary or temperature manipulation. The FASEB Journal. 14(11). 1611–1618. 70 indexed citations
3.
DeNardo, Sally J., Gerald L. DeNardo, Jennifer Brush, & Paul Carter. (1999). Phage Library-derived Human Anti-TETA and Anti-DOTA ScFv for Pretargeting RIT. Hybridoma. 18(1). 13–21. 13 indexed citations
4.
Gurney, Austin, Scot A. Marsters, Arthur Huang, et al.. (1999). Identification of a new member of the tumor necrosis factor family and its receptor, a human ortholog of mouse GITR. Current Biology. 9(4). 215–218. 152 indexed citations
5.
Xie, Ming-Hong, Ilona N. Holcomb, Bethanne Deuel, et al.. (1999). FGF-19, A NOVEL FIBROBLAST GROWTH FACTOR WITH UNIQUE SPECIFICITY FOR FGFR4. Cytokine. 11(10). 729–735. 243 indexed citations
6.
Lu, Yanmei, Jennifer Brush, & Timothy A. Stewart. (1999). NSP1 Defines a Novel Family of Adaptor Proteins Linking Integrin and Tyrosine Kinase Receptors to the c-Jun N-terminal Kinase/Stress-activated Protein Kinase Signaling Pathway. Journal of Biological Chemistry. 274(15). 10047–10052. 54 indexed citations
7.
Guo, Su, Jennifer Brush, Hiroki Teraoka, et al.. (1999). Development of Noradrenergic Neurons in the Zebrafish Hindbrain Requires BMP, FGF8, and the Homeodomain Protein Soulless/Phox2a. Neuron. 24(3). 555–566. 193 indexed citations
8.
Mao, Weiguang, Xing Yu, Alan Zhong, et al.. (1999). UCP4, a novel brain‐specific mitochondrial protein that reduces membrane potential in mammalian cells. FEBS Letters. 443(3). 326–330. 320 indexed citations
9.
Stone, Donna M., Maximilien Murone, Shiuh-Ming Luoh, et al.. (1999). Characterization of the human Suppressor of fused, a negative regulator of the zinc-finger transcription factor Gli. Journal of Cell Science. 112(23). 4437–4448. 154 indexed citations
10.
Ridgway, John Brady, Jeffrey A. Kern, James Lee, et al.. (1999). Identification of a human anti-CD55 single-chain Fv by subtractive panning of a phage library using tumor and nontumor cell lines.. PubMed. 59(11). 2718–23. 61 indexed citations
11.
Marsters, Scot A., James P. Sheridan, Robert Pitti, et al.. (1998). Identification of a ligand for the death-domain-containing receptor Apo3. Current Biology. 8(9). 525–S2. 158 indexed citations
12.
Carpenter, David, Donna M. Stone, Jennifer Brush, et al.. (1998). Characterization of two patched receptors for the vertebrate hedgehog protein family. Proceedings of the National Academy of Sciences. 95(23). 13630–13634. 220 indexed citations
13.
Pennica, Diane, Todd A. Swanson, James W. Welsh, et al.. (1998). WISP genes are members of the connective tissue growth factor family that are up-regulated in Wnt-1-transformed cells and aberrantly expressed in human colon tumors. Proceedings of the National Academy of Sciences. 95(25). 14717–14722. 437 indexed citations
14.
Spencer, Susan D., Donald Dowbenko, Jill Cheng, et al.. (1997). PSTPIP: A Tyrosine Phosphorylated Cleavage Furrow–associated Protein that Is a Substrate for a PEST Tyrosine Phosphatase. The Journal of Cell Biology. 138(4). 845–860. 141 indexed citations
15.
Zhang, Dongxiao, Mark X. Sliwkowski, Melanie R. Mark, et al.. (1997). Neuregulin-3 (NRG3): A novel neural tissue-enriched protein that binds and activates ErbB4. Proceedings of the National Academy of Sciences. 94(18). 9562–9567. 307 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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