Steven D. Flanagan

1.4k total citations
26 papers, 1.1k citations indexed

About

Steven D. Flanagan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Steven D. Flanagan has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Steven D. Flanagan's work include Receptor Mechanisms and Signaling (5 papers), Skin and Cellular Biology Research (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Steven D. Flanagan is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Skin and Cellular Biology Research (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Steven D. Flanagan collaborates with scholars based in United States, Sweden and Austria. Steven D. Flanagan's co-authors include S H Barondes, Reinhard Gysin, Donn Muhleman, David E. Comings, Palmer Taylor, Chul Ahn, Miroslav Blumenberg, Mamitaro Ohtsuki, G. Johansson and George Dietz and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Steven D. Flanagan

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Flanagan United States 19 624 239 161 126 119 26 1.1k
Hisashi Koike Japan 13 595 1.0× 262 1.1× 90 0.6× 4 0.0× 309 2.6× 70 1.4k
Lili Lu China 22 844 1.4× 114 0.5× 53 0.3× 17 0.1× 47 0.4× 38 1.3k
J.-L. Dreyer Switzerland 10 360 0.6× 133 0.6× 58 0.4× 7 0.1× 80 0.7× 13 739
Fereshteh Moradi Canada 15 575 0.9× 61 0.3× 72 0.4× 13 0.1× 163 1.4× 32 1.0k
Xiaojiang Li China 21 1.0k 1.6× 843 3.5× 242 1.5× 6 0.0× 188 1.6× 82 1.9k
Gillian Kay Israel 25 967 1.5× 52 0.2× 127 0.8× 3 0.0× 129 1.1× 48 1.7k
Vincenzo Bocchini Italy 18 961 1.5× 631 2.6× 187 1.2× 4 0.0× 142 1.2× 39 1.8k
R.K. Somvanshi Canada 19 405 0.6× 192 0.8× 38 0.2× 3 0.0× 119 1.0× 47 1.2k
Ernst Bamberg Germany 21 1.2k 1.9× 613 2.6× 212 1.3× 2 0.0× 62 0.5× 34 1.5k
Lawrence M. Marshall United States 15 852 1.4× 665 2.8× 268 1.7× 3 0.0× 99 0.8× 48 1.6k

Countries citing papers authored by Steven D. Flanagan

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Flanagan. 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 Steven D. Flanagan. The network helps show where Steven D. Flanagan may publish in the future.

Co-authorship network of co-authors of Steven D. Flanagan

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Flanagan. A scholar is included among the top collaborators of Steven D. Flanagan 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 Steven D. Flanagan. Steven D. Flanagan 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.
Li, Shan, Stephen E. Kendall, James Finlay, et al.. (2012). TWIST1 associates with NF-κB subunit RELA via carboxyl-terminal WR domain to promote cell autonomous invasion through IL8 production. BMC Biology. 10(1). 73–73. 52 indexed citations
2.
Lowe, Gina, et al.. (2000). Human dermo-1 has attributes similar to twist in early bone development. Bone. 27(5). 591–602. 65 indexed citations
3.
Dai, Shu‐Mei, et al.. (2000). Ligation-mediated PCR for quantitative in vivo footprinting. Nature Biotechnology. 18(10). 1108–1111. 52 indexed citations
4.
Farrer, Lindsay A., L. Adrienne Cupples, Cornelia M. van Duijn, et al.. (1995). Apolipoprotein E genotype in patients with alzheimer's disease: Implications for the risk of dementia among relatives. Annals of Neurology. 38(5). 797–808. 79 indexed citations
5.
Comings, David E., Donn Muhleman, Chul Ahn, Reinhard Gysin, & Steven D. Flanagan. (1994). The dopamine D2 receptor gene: a genetic risk factor in substance abuse. Drug and Alcohol Dependence. 34(3). 175–180. 116 indexed citations
6.
Jiang, Chuan-Kui, Steven D. Flanagan, Mamitaro Ohtsuki, et al.. (1994). Disease-Activated Transcription Factor: Allergic Reactions in Human Skin Cause Nuclear Translocation of STAT-91 and Induce Synthesis of Keratin K17. Molecular and Cellular Biology. 14(7). 4759–4769. 18 indexed citations
7.
Persico, Antonio M., Bruce F. O’Hara, Simon F. Farmer, et al.. (1993). Dopamine D2 receptor gene Taq I ‘A’ locus map including ‘A4’ variant: relevance for alcoholism and drug abuse. Drug and Alcohol Dependence. 31(3). 229–234. 6 indexed citations
8.
Comings, David E., et al.. (1993). The Dopamine D2 Receptor (DRD2) as a Major Gene in Obesity and Height. Biochemical Medicine and Metabolic Biology. 50(2). 176–185. 110 indexed citations
9.
Flanagan, Steven D., et al.. (1992). DOPAMINE D2 RECEPTOR (DRD2) HAPLOTYPE STATUS AND GENETIC RISK FOR ALCOHOLISM AND POLYSUBSTANCE ABUSE. Clinical Neuropharmacology. 15. 97B–97B. 2 indexed citations
10.
Oshio, Koichi, et al.. (1987). The ASYST Software for Scientific Computing. Science. 236(4805). 1128–1132. 18 indexed citations
11.
12.
Flanagan, Steven D.. (1984). Membranes and genetic disease: Progress in clinical and biological research.. The American Journal of Human Genetics. 36(2). 486–486. 1 indexed citations
13.
Flanagan, Steven D., et al.. (1984). Toroidal Coil Countercurrent Chromatography in the Affinity Partitioning of Nicotinic Cholinergic Receptor Enriched Membranes. Journal of Liquid Chromatography. 7(2). 385–402. 18 indexed citations
14.
Gysin, Reinhard, et al.. (1983). Immunochemical and molecular differentiation of 43,000 molecular weight proteins associated with Torpedo neuroelectrocyte synapses. Biochemistry. 22(25). 5781–5789. 32 indexed citations
15.
Flanagan, Steven D., et al.. (1982). Putative 51,000-Mr protein marker for postsynaptic densities is virtually absent in cerebellum.. The Journal of Cell Biology. 94(3). 743–748. 22 indexed citations
16.
Drayer, Burton P., R.J. Jaszczak, Edward Coleman, et al.. (1982). Muscarinic Cholinergic Receptor Binding. Journal of Computer Assisted Tomography. 6(3). 536–543. 10 indexed citations
17.
Flanagan, Steven D., et al.. (1979). An125I-labeled binding probe for the muscarinic cholinergic receptor. Brain Research. 168(2). 261–274. 4 indexed citations
18.
Flanagan, Steven D., S H Barondes, & Palmer Taylor. (1976). Affinity partitioning of membranes. Cholinergic receptor-containing membranes from Torpedo californica.. Journal of Biological Chemistry. 251(3). 858–865. 68 indexed citations
19.
Flanagan, Steven D., Palmer Taylor, & Samuel H. Barondes. (1975). Affinity partitioning of acetylcholine receptor enriched membranes and their purification. Nature. 254(5499). 441–443. 41 indexed citations
20.
Flanagan, Steven D. & S H Barondes. (1975). Affinity partitioning. A method for purification of proteins using specific polymer-ligands in aqueous polymer two-phase systems.. Journal of Biological Chemistry. 250(4). 1484–1489. 151 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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