Dike Qiu

2.0k total citations
20 papers, 1.6k citations indexed

About

Dike Qiu is a scholar working on Epidemiology, Hepatology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dike Qiu has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Hepatology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dike Qiu's work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (9 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dike Qiu is often cited by papers focused on Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (9 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dike Qiu collaborates with scholars based in United States, Germany and Switzerland. Dike Qiu's co-authors include Robert A. Fridell, Chunfu Wang, Lourdes Valera, Stephen M. Strittmatter, Ji‐Eun Kim, Tadzia GrandPré, Shuxin Li, Min Gao, Fabio Rupp and Christian Böse and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Dike Qiu

20 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
Dike Qiu United States 16 675 561 535 362 281 20 1.6k
Cristina Cheroni Italy 18 328 0.5× 405 0.7× 133 0.2× 629 1.7× 21 0.1× 37 1.6k
Janie Baratta United States 17 56 0.1× 116 0.2× 440 0.8× 402 1.1× 25 0.1× 28 1.1k
Nicola Rizzuto Italy 18 80 0.1× 85 0.2× 252 0.5× 371 1.0× 32 0.1× 31 1.2k
Raffaello Cimbro United States 20 12 0.0× 127 0.2× 332 0.6× 372 1.0× 147 0.5× 41 1.4k
Yanyan Jiang United Kingdom 20 21 0.0× 98 0.2× 133 0.2× 728 2.0× 43 0.2× 29 1.5k
Yuhua Huang China 15 117 0.2× 80 0.1× 140 0.3× 301 0.8× 5 0.0× 40 909
Laurène Cagnon Switzerland 16 43 0.1× 69 0.1× 72 0.1× 319 0.9× 49 0.2× 18 1.7k
Hubertus Köller Germany 18 18 0.0× 54 0.1× 490 0.9× 252 0.7× 103 0.4× 45 1.1k
Tsutomu Takahashi Japan 18 30 0.0× 63 0.1× 187 0.3× 386 1.1× 86 0.3× 51 966
Fabrizio Vacca Italy 17 10 0.0× 161 0.3× 210 0.4× 573 1.6× 26 0.1× 19 1.4k

Countries citing papers authored by Dike Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Dike Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dike Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Dike Qiu. A scholar is included among the top collaborators of Dike Qiu 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 Dike Qiu. Dike Qiu 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.
Qiu, Dike, Ke Xu, Namjin Chung, et al.. (2023). Identification and validation of G protein-coupled receptors modulating flow-dependent signaling pathways in vascular endothelial cells. Frontiers in Molecular Biosciences. 10. 1198079–1198079. 2 indexed citations
2.
Ding, Min, Feng He, Thomas W. Hudyma, et al.. (2012). Synthesis and SAR studies of novel heteroaryl fused tetracyclic indole-diamide compounds: Potent allosteric inhibitors of the hepatitis C virus NS5B polymerase. Bioorganic & Medicinal Chemistry Letters. 22(8). 2866–2871. 15 indexed citations
3.
Fridell, Robert A., et al.. (2012). Intragenic Complementation of Hepatitis C Virus NS5A RNA Replication-Defective Alleles. Journal of Virology. 87(4). 2320–2329. 30 indexed citations
4.
Wang, Chunfu, Lourdes Valera, Jin-Hua Sun, et al.. (2012). Hepatitis C Virus RNA Elimination and Development of Resistance in Replicon Cells Treated with BMS-790052. Antimicrobial Agents and Chemotherapy. 56(3). 1350–1358. 40 indexed citations
5.
6.
Martin, Scott, Peter W. Glunz, Brett R. Beno, et al.. (2011). The Synthesis and evaluation of a novel class of (E)-3-(1-cyclohexyl-1H-pyrazol-3-yl)-2-methylacrylic acid Hepatitis C virus polymerase NS5B inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(10). 2869–2872. 11 indexed citations
7.
Qiu, Dike, Julie A. Lemm, Donald R. O’Boyle, et al.. (2011). The effects of NS5A inhibitors on NS5A phosphorylation, polyprotein processing and localization. Journal of General Virology. 92(11). 2502–2511. 44 indexed citations
8.
Fridell, Robert A., Dike Qiu, Lourdes Valera, et al.. (2011). Distinct Functions of NS5A in Hepatitis C Virus RNA Replication Uncovered by Studies with the NS5A Inhibitor BMS-790052. Journal of Virology. 85(14). 7312–7320. 114 indexed citations
9.
Wang, Chunfu, Lingling Jia, Dike Qiu, et al.. (2011). In Vitro Activity of BMS-790052 on Hepatitis C Virus Genotype 4 NS5A. Antimicrobial Agents and Chemotherapy. 56(3). 1588–1590. 37 indexed citations
10.
11.
Fridell, Robert A., Dike Qiu, Chunfu Wang, Lourdes Valera, & Min Gao. (2010). Resistance Analysis of the Hepatitis C Virus NS5A Inhibitor BMS-790052 in an In Vitro Replicon System. Antimicrobial Agents and Chemotherapy. 54(9). 3641–3650. 225 indexed citations
12.
Kim, Ji‐Eun, et al.. (2003). Nogo-C is sufficient to delay nerve regeneration. Molecular and Cellular Neuroscience. 23(3). 451–459. 38 indexed citations
13.
Kim, Ji‐Eun, Shuxin Li, Tadzia GrandPré, Dike Qiu, & Stephen M. Strittmatter. (2003). Axon Regeneration in Young Adult Mice Lacking Nogo-A/B. Neuron. 38(2). 187–199. 330 indexed citations
14.
Rao, Mala V., Linda J. Engle, Panaiyur S. Mohan, et al.. (2002). Myosin Va binding to neurofilaments is essential for correct myosin Va distribution and transport and neurofilament density. The Journal of Cell Biology. 159(2). 279–290. 88 indexed citations
15.
Lesuisse, Christian, Dike Qiu, Christian Böse, Kazuhiro Nakaso, & Fabio Rupp. (2000). Regulation of agrin expression in hippocampal neurons by cell contact and electrical activity. Molecular Brain Research. 81(1-2). 92–100. 23 indexed citations
16.
Böse, Christian, Dike Qiu, M Bossi, et al.. (2000). Agrin Controls Synaptic Differentiation in Hippocampal Neurons. Journal of Neuroscience. 20(24). 9086–9095. 80 indexed citations
17.
Böse, Christian, Dike Qiu, Andrea Bergamaschi, et al.. (2000). Agrin controls synaptic differentiation in hippocampal neurons.. PubMed. 20(24). 9086–95. 81 indexed citations
18.
Ji, Ru‐Rong, Thomas E. Schläepfer, Carlos D. Aizenman, et al.. (1998). Repetitive transcranial magnetic stimulation activates specific regions in rat brain. Proceedings of the National Academy of Sciences. 95(26). 15635–15640. 155 indexed citations
19.
Ji, Ru‐Rong, Christian Böse, Christian Lesuisse, et al.. (1998). Specific Agrin Isoforms Induce cAMP Response Element Binding Protein Phosphorylation in Hippocampal Neurons. Journal of Neuroscience. 18(23). 9695–9702. 54 indexed citations
20.
Tan, Mingjuan, et al.. (1991). [The relationship between hepatitis B and renin-angiotensin-aldosterone system].. PubMed. 22(3). 303–6. 1 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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