Nil Emre

748 total citations
10 papers, 544 citations indexed

About

Nil Emre is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Nil Emre has authored 10 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Nil Emre's work include Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and 3D Printing in Biomedical Research (3 papers). Nil Emre is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and 3D Printing in Biomedical Research (3 papers). Nil Emre collaborates with scholars based in United States, Slovakia and Germany. Nil Emre's co-authors include Jason G. Vidal, Jeanne Elia, Christian T. Carson, Martin Maršala, Charles K. Meshul, Jody Martin, Mason A. Israel, Shauna H. Yuan, Lawrence S.B. Goldstein and Fred H. Gage and has published in prestigious journals such as PLoS ONE, Cancer Research and Gene.

In The Last Decade

Nil Emre

10 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nil Emre United States 8 380 167 94 85 63 10 544
Jonghun Kim South Korea 14 354 0.9× 127 0.8× 107 1.1× 99 1.2× 28 0.4× 33 700
Viola Volpato United Kingdom 8 406 1.1× 158 0.9× 51 0.5× 59 0.7× 82 1.3× 11 636
Elizabeth L. Calder United States 8 430 1.1× 192 1.1× 112 1.2× 62 0.7× 60 1.0× 9 589
Catherine Schwartz United States 11 400 1.1× 82 0.5× 59 0.6× 43 0.5× 59 0.9× 13 479
Lesley Chaboub United States 12 263 0.7× 93 0.6× 140 1.5× 38 0.4× 51 0.8× 15 536
Momoko Watanabe Japan 10 332 0.9× 148 0.9× 91 1.0× 56 0.7× 26 0.4× 22 624
Molly Karl United States 11 346 0.9× 140 0.8× 240 2.6× 69 0.8× 46 0.7× 19 626
Andrzej Swistowski United States 14 737 1.9× 240 1.4× 117 1.2× 171 2.0× 132 2.1× 17 903
Benjamin C. Campbell United States 6 529 1.4× 156 0.9× 94 1.0× 68 0.8× 98 1.6× 6 700
Yuan Xie United States 13 529 1.4× 93 0.6× 78 0.8× 37 0.4× 39 0.6× 19 723

Countries citing papers authored by Nil Emre

Since Specialization
Citations

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

Fields of papers citing papers by Nil Emre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nil Emre

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

All Works

10 of 10 papers shown
2.
Yuan, Shauna H., Jody Martin, Jeanne Elia, et al.. (2011). Cell-Surface Marker Signatures for the Isolation of Neural Stem Cells, Glia and Neurons Derived from Human Pluripotent Stem Cells. PLoS ONE. 6(3). e17540–e17540. 290 indexed citations
3.
Emre, Nil, Jason G. Vidal, Jeanne Elia, et al.. (2010). The ROCK Inhibitor Y-27632 Improves Recovery of Human Embryonic Stem Cells after Fluorescence-Activated Cell Sorting with Multiple Cell Surface Markers. PLoS ONE. 5(8). e12148–e12148. 51 indexed citations
4.
Emre, Nil, R.L. Coleman, & Sheng Ding. (2007). A chemical approach to stem cell biology. Current Opinion in Chemical Biology. 11(3). 252–258. 43 indexed citations
5.
Emre, Nil, Sujna Raval-Fernandes, Valerie A. Kickhoefer, & Leonard H. Rome. (2004). Analysis of MVP and VPARP promoters indicates a role for chromatin remodeling in the regulation of MVP. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1678(1). 33–46. 8 indexed citations
6.
Mayhew, Terry M., Gareth Griffiths, Anja Habermann, et al.. (2003). A simpler way of comparing the labelling densities of cellular compartments illustrated using data from VPARP and LAMP-1 immunogold labelling experiments. Histochemistry and Cell Biology. 119(4). 333–341. 42 indexed citations
7.
Kickhoefer, Valerie A., et al.. (2003). Identification of conserved vault RNA expression elements and a non-expressed mouse vault RNA gene. Gene. 309(2). 65–70. 26 indexed citations
8.
Meshul, Charles K., Kazuma Noguchi, Nil Emre, & Gaylord Ellison. (1998). Cocaine-induced changes in glutamate and GABA immunolabeling within rat habenula and nucleus accumbens. Synapse. 30(2). 211–220. 36 indexed citations
9.
Mark, Gregory P., et al.. (1998). Reduced glutamate immunolabeling in the nucleus accumbens following extended withdrawal from self-administered cocaine. Synapse. 30(4). 393–401. 39 indexed citations
10.
Meshul, Charles K., Kazuma Noguchi, Nil Emre, & Gaylord Ellison. (1998). Cocaine‐induced changes in glutamate and GABA immunolabeling within rat habenula and nucleus accumbens. Synapse. 30(2). 211–220. 7 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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