J. Edward van Veen

2.1k total citations · 1 hit paper
16 papers, 1.6k citations indexed

About

J. Edward van Veen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, J. Edward van Veen has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in J. Edward van Veen's work include Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (3 papers) and Adipose Tissue and Metabolism (3 papers). J. Edward van Veen is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (3 papers) and Adipose Tissue and Metabolism (3 papers). J. Edward van Veen collaborates with scholars based in United States, Germany and Japan. J. Edward van Veen's co-authors include Frank B. Gertler, Laura Bordone, Stephen Marmor, Wei Gu, Leonard Guarente, Jianyuan Luo, Andrew D. Steele, Agnieszka Czopik, Maria Carla Motta and Dena E. Cohen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

J. Edward van Veen

16 papers receiving 1.6k citations

Hit Papers

SIRT1 transgenic mice sho... 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SIRT1 transgenic mice show phenotypes resembling calorie restriction
    2007 587 citations Laura Bordone, Dena E. Cohen et al. Aging Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Edward van Veen United States 11 488 484 424 416 362 16 1.6k
Derek Thomson United Kingdom 19 1.1k 2.3× 196 0.4× 746 1.8× 186 0.4× 170 0.5× 25 1.9k
Jaan‐Olle Andressoo Finland 24 1.3k 2.8× 304 0.6× 753 1.8× 36 0.1× 378 1.0× 53 2.5k
Philip Seibler Germany 22 1.1k 2.2× 365 0.8× 629 1.5× 26 0.1× 234 0.6× 47 2.0k
Yongcheol Cho South Korea 18 1.1k 2.2× 130 0.3× 890 2.1× 61 0.1× 249 0.7× 34 1.8k
Sandra Maday United States 18 1.1k 2.2× 530 1.1× 602 1.4× 55 0.1× 1.1k 3.1× 24 2.6k
Sigrun Nestel Germany 18 561 1.1× 160 0.3× 446 1.1× 71 0.2× 118 0.3× 27 1.2k
Álvaro Rendón France 31 1.9k 3.8× 517 1.1× 548 1.3× 26 0.1× 282 0.8× 109 2.3k
Georg Haase France 22 1.4k 2.8× 245 0.5× 681 1.6× 23 0.1× 328 0.9× 28 2.4k
Marcus Keatinge United Kingdom 12 428 0.9× 159 0.3× 202 0.5× 69 0.2× 240 0.7× 22 953
Okiru Komine Japan 20 698 1.4× 398 0.8× 313 0.7× 36 0.1× 94 0.3× 35 1.7k

Countries citing papers authored by J. Edward van Veen

Since Specialization
Citations

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

Fields of papers citing papers by J. Edward van Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Edward van Veen. 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 J. Edward van Veen. The network helps show where J. Edward van Veen may publish in the future.

Co-authorship network of co-authors of J. Edward van Veen

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

All Works

16 of 16 papers shown
1.
Park, Jae W., Laura R. Cortes, Norma P. Sandoval, et al.. (2025). Sex-Specific Thermoregulatory Effects of Estrogen Signaling in Reprimo Lineage Cells. Endocrinology. 167(1). 1 indexed citations
2.
Massa, Megan G., Rachel Scott, Laura R. Cortes, et al.. (2023). Feeding neurons integrate metabolic and reproductive states in mice. iScience. 26(10). 107918–107918. 4 indexed citations
3.
Zhang, Zhi, In Sook Ahn, Graciel Diamante, et al.. (2021). Estrogen receptor alpha in the brain mediates tamoxifen-induced changes in physiology in mice. eLife. 10. 24 indexed citations
4.
Veen, J. Edward van, Michaël Shum, Michelle Reid, et al.. (2020). Hypothalamic oestrogen receptor alpha establishes a sexually dimorphic regulatory node of energy expenditure. Nature Metabolism. 2(4). 351–363. 66 indexed citations
5.
Zhang, Zhi, Fernando MCV Reis, Yanlin He, et al.. (2020). Estrogen-sensitive medial preoptic area neurons coordinate torpor in mice. Nature Communications. 11(1). 6378–6378. 60 indexed citations
6.
Prokop, Jeremy W., Surya B. Chhetri, J. Edward van Veen, et al.. (2020). Transcriptional analysis of the multiple Sry genes and developmental program at the onset of testis differentiation in the rat. Biology of Sex Differences. 11(1). 28–28. 6 indexed citations
7.
Veen, J. Edward van, Julia Boshuizen, Allison Landman, et al.. (2019). Mutationally-activated PI3’-kinase-α promotes de-differentiation of lung tumors initiated by the BRAFV600E oncoprotein kinase. eLife. 8. 13 indexed citations
8.
Veen, J. Edward van, et al.. (2016). P2A-Fluorophore Tagging of BRAF Tightly Links Expression to Fluorescence In Vivo. PLoS ONE. 11(6). e0157661–e0157661. 1 indexed citations
9.
McConnell, Russell E., J. Edward van Veen, Marina Vidaki, et al.. (2016). A requirement for filopodia extension toward Slit during Robo-mediated axon repulsion. The Journal of Cell Biology. 213(2). 261–274. 45 indexed citations
10.
Eddie, Chi Him, Takao Omura, Enrique J. Cobos, et al.. (2011). Accelerating axonal growth promotes motor recovery after peripheral nerve injury in mice. Journal of Clinical Investigation. 121(11). 4332–4347. 200 indexed citations
11.
Kothapalli, Chandrasekhar R., J. Edward van Veen, Sarra de Valence, et al.. (2010). A high-throughput microfluidic assay to study neurite response to growth factor gradients. Lab on a Chip. 11(3). 497–507. 135 indexed citations
12.
Kwiatkowski, Adam V., Douglas A. Rubinson, Erik W. Dent, et al.. (2007). Ena/VASP Is Required for Neuritogenesis in the Developing Cortex. Neuron. 56(3). 441–455. 169 indexed citations
13.
Bordone, Laura, Dena E. Cohen, Ashley Robinson, et al.. (2007). SIRT1 transgenic mice show phenotypes resembling calorie restriction. Aging Cell. 6(6). 759–767. 587 indexed citations breakdown →
14.
Dent, Erik W., Adam V. Kwiatkowski, Leslie M. Mebane, et al.. (2007). Filopodia are required for cortical neurite initiation. Nature Cell Biology. 9(12). 1347–1359. 252 indexed citations
15.
Kwiatkowski, Adam V., Douglas A. Rubinson, Erik W. Dent, et al.. (2007). Ena/VASP Is Required for Neuritogenesis in the Developing Cortex. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
16.
Veen, J. Edward van & R. Scott Hawley. (2003). Meiosis: When Even Two Is a Crowd. Current Biology. 13(21). R831–R833. 25 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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