Ira Schieren

2.1k total citations
32 papers, 1.6k citations indexed

About

Ira Schieren is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Ira Schieren has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in Ira Schieren's work include Cancer-related Molecular Pathways (7 papers), Neurobiology and Insect Physiology Research (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ira Schieren is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Neurobiology and Insect Physiology Research (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Ira Schieren collaborates with scholars based in United States, United Kingdom and Russia. Ira Schieren's co-authors include Weinstein Ib, Joseph El Khoury, Saurabh D. Patel, Lawrence Shapiro, Wei Jiang, S C Silverstein, Steven M. Greenberg, Alessandro Sgambato, SE Hickman and Yuichiro� Doki and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ira Schieren

31 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ira Schieren United States 21 1.0k 451 232 213 144 32 1.6k
Tomomi M. Yamamoto Japan 27 1.2k 1.2× 391 0.9× 224 1.0× 383 1.8× 312 2.2× 83 2.0k
François D. Boussin France 33 2.0k 2.0× 774 1.7× 301 1.3× 120 0.6× 297 2.1× 93 3.6k
Miwako Iwai Japan 17 829 0.8× 209 0.5× 192 0.8× 241 1.1× 34 0.2× 38 1.2k
Marc Glucksman United States 28 1.4k 1.4× 530 1.2× 544 2.3× 173 0.8× 333 2.3× 53 2.5k
Francesca Ciccolini Germany 17 824 0.8× 173 0.4× 473 2.0× 102 0.5× 105 0.7× 30 1.5k
Mikel Garcia‐Marcos United States 29 1.9k 1.8× 249 0.6× 290 1.3× 458 2.2× 161 1.1× 77 2.4k
Anna M. Aragay Spain 20 1.0k 1.0× 344 0.8× 333 1.4× 159 0.7× 67 0.5× 38 1.5k
Hiroshi Ushiro Japan 13 1.6k 1.5× 740 1.6× 166 0.7× 225 1.1× 141 1.0× 17 2.4k
Philippe Rondé France 25 1.1k 1.1× 248 0.5× 341 1.5× 541 2.5× 146 1.0× 45 1.9k
Charles L. Farnsworth United States 15 1.5k 1.4× 252 0.6× 236 1.0× 338 1.6× 97 0.7× 18 1.7k

Countries citing papers authored by Ira Schieren

Since Specialization
Citations

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

Fields of papers citing papers by Ira Schieren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ira Schieren

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

All Works

20 of 20 papers shown
1.
Duffié, Rachel, Hani Shayya, Miao Wang, et al.. (2025). Mex3a-dependent post-transcriptional silencing ensures olfactory receptor diversity and axon guidance specificity. Cell Reports. 44(8). 115979–115979.
2.
Bashkirova, Elizaveta, Kevin D. Monahan, Christine Campbell, et al.. (2023). Opposing, spatially-determined epigenetic forces impose restrictions on stochastic olfactory receptor choice. eLife. 12. 12 indexed citations
3.
Bashkirova, Elizaveta, Andrea M. Chiariello, Albana Kodra, et al.. (2023). RNA-mediated symmetry breaking enables singular olfactory receptor choice. Nature. 625(7993). 181–188. 27 indexed citations
4.
Bashkirova, Elizaveta, Kevin D. Monahan, Christine Campbell, et al.. (2023). Opposing, spatially-determined epigenetic forces impose restrictions on stochastic olfactory receptor choice. eLife. 12. 13 indexed citations
5.
Shayya, Hani, Rachel Duffié, Kevin D. Monahan, et al.. (2022). ER stress transforms random olfactory receptor choice into axon targeting precision. Cell. 185(21). 3896–3912.e22. 25 indexed citations
6.
Schieren, Ira, et al.. (2019). A Role for Sensory end Organ-Derived Signals in Regulating Muscle Spindle Proprioceptor Phenotype. Journal of Neuroscience. 39(22). 4252–4267. 22 indexed citations
7.
Monahan, Kevin D., et al.. (2017). Cooperative interactions enable singular olfactory receptor expression in mouse olfactory neurons. eLife. 6. 93 indexed citations
8.
Rizvi, Abbas H., Pablo G. Cámara, Thomas J. Roberts, et al.. (2017). Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development. Nature Biotechnology. 35(6). 551–560. 158 indexed citations
9.
Guo, Ningning, Wen Guo, Michaela Králíková, et al.. (2009). Impact of D2 Receptor Internalization on Binding Affinity of Neuroimaging Radiotracers. Neuropsychopharmacology. 35(3). 806–817. 58 indexed citations
10.
Agalliu, Dritan & Ira Schieren. (2009). Heterogeneity in the developmental potential of motor neuron progenitors revealed by clonal analysis of single cells in vitro. Neural Development. 4(1). 2–2. 7 indexed citations
11.
Assur, Zahra, Ira Schieren, Wayne A. Hendrickson, & Filippo Mancia. (2007). Two-color selection for amplified co-production of proteins in mammalian cells. Protein Expression and Purification. 55(2). 319–324. 3 indexed citations
12.
Patel, Saurabh D., Carlo Ciatto, Chien Peter Chen, et al.. (2006). Type II Cadherin Ectodomain Structures: Implications for Classical Cadherin Specificity. Cell. 124(6). 1255–1268. 228 indexed citations
13.
Mancia, Filippo, Saurabh D. Patel, Michael W. Rajala, et al.. (2004). Optimization of Protein Production in Mammalian Cells with a Coexpressed Fluorescent Marker. Structure. 12(8). 1355–1360. 66 indexed citations
14.
Li, Baojie, Sharon Boast, Kenia de los Santos, et al.. (2000). Mice deficient in Abl are osteoporotic and have defects in osteoblast maturation. Nature Genetics. 24(3). 304–308. 124 indexed citations
15.
Slosberg, Eric D., Michael G. Klein, Yao Yao, et al.. (1999). The α isoform of protein kinase C mediates phorbol ester-induced growth inhibition and p21cip1 induction in HC11 mammary epithelial cells. Oncogene. 18(48). 6658–6666. 29 indexed citations
16.
Livneh, Etta, et al.. (1996). Linking protein kinase C to the cell cycle: ectopic expression of PKC eta in NIH3T3 cells alters the expression of cyclins and Cdk inhibitors and induces adipogenesis.. PubMed. 12(7). 1545–55. 64 indexed citations
17.
Han, Edward K., Alessandro Sgambato, Wei Jiang, et al.. (1995). Stable overexpression of cyclin D1 in a human mammary epithelial cell line prolongs the S-phase and inhibits growth.. PubMed. 10(5). 953–61. 81 indexed citations
18.
Saxon, M. E., et al.. (1992). Stimulation of Calcium Influx in HL60 Cells by Cholesteryl-Modified Homopolymer Oligodeoxynucleotides. PubMed. 2(3). 243–250. 5 indexed citations
19.
Schieren, Ira & Amy B. MacDermott. (1988). Flow cytometric identification and purification of cells by ligand-induced changes in intracellular calcium. Journal of Neuroscience Methods. 26(1). 35–44. 16 indexed citations
20.
Julius, David, et al.. (1988). Functional Expression of the S-HT1c Receptor in Neuronal and Nonneuronal Cells. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 385–393. 11 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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