Zaven Kaprielian

2.2k total citations
46 papers, 1.8k citations indexed

About

Zaven Kaprielian is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Zaven Kaprielian has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 26 papers in Molecular Biology and 25 papers in Developmental Neuroscience. Recurrent topics in Zaven Kaprielian's work include Axon Guidance and Neuronal Signaling (29 papers), Neurogenesis and neuroplasticity mechanisms (25 papers) and Zebrafish Biomedical Research Applications (9 papers). Zaven Kaprielian is often cited by papers focused on Axon Guidance and Neuronal Signaling (29 papers), Neurogenesis and neuroplasticity mechanisms (25 papers) and Zebrafish Biomedical Research Applications (9 papers). Zaven Kaprielian collaborates with scholars based in United States, Germany and Japan. Zaven Kaprielian's co-authors include Ralph Imondi, Erik Runko, Douglas M. Fambrough, PH Patterson, Norman J. Karin, Paul H. Patterson, Christi Wideman, Hannes E. Bülow, Michael Hadjiargyrou and P. H. Patterson and has published in prestigious journals such as Cell, Neuron and Journal of Neuroscience.

In The Last Decade

Zaven Kaprielian

45 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaven Kaprielian United States 28 1.0k 973 629 487 150 46 1.8k
Fumikazu Suto Japan 23 1.5k 1.5× 1.0k 1.0× 504 0.8× 615 1.3× 32 0.2× 32 2.0k
Miriam R. Kaplan United States 7 862 0.8× 747 0.8× 449 0.7× 210 0.4× 58 0.4× 8 1.4k
Michael Rickmann Germany 19 1.1k 1.0× 1.2k 1.3× 433 0.7× 626 1.3× 31 0.2× 33 2.1k
Shingo Yoshikawa Japan 18 953 0.9× 1.5k 1.6× 103 0.2× 497 1.0× 86 0.6× 33 2.1k
Jasprina N. Noordermeer Netherlands 22 1.2k 1.2× 1.4k 1.4× 146 0.2× 540 1.1× 93 0.6× 36 2.1k
Chay T. Kuo United States 23 731 0.7× 1.5k 1.5× 693 1.1× 294 0.6× 46 0.3× 32 2.7k
Linda W. Jurata United States 17 486 0.5× 1.4k 1.4× 256 0.4× 308 0.6× 39 0.3× 17 2.0k
Judith Stegmüller Germany 23 506 0.5× 1.8k 1.9× 368 0.6× 533 1.1× 151 1.0× 31 2.6k
Artur Kania Canada 31 1.9k 1.9× 2.2k 2.2× 811 1.3× 1.1k 2.2× 45 0.3× 74 3.6k
Greg J. Bashaw United States 31 2.1k 2.0× 2.0k 2.0× 641 1.0× 1.0k 2.1× 56 0.4× 57 3.1k

Countries citing papers authored by Zaven Kaprielian

Since Specialization
Citations

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

Fields of papers citing papers by Zaven Kaprielian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaven Kaprielian

This figure shows the co-authorship network connecting the top 25 collaborators of Zaven Kaprielian. A scholar is included among the top collaborators of Zaven Kaprielian 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 Zaven Kaprielian. Zaven Kaprielian 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.
Díaz-Balzac, Carlos A., et al.. (2016). Muscle- and Skin-Derived Cues Jointly Orchestrate Patterning of Somatosensory Dendrites. Current Biology. 26(17). 2379–2387. 43 indexed citations
2.
Wu, Zhuhao, Edward Martinez, Olav Olsen, et al.. (2015). Floor plate-derived neuropilin-2 functions as a secreted semaphorin sink to facilitate commissural axon midline crossing. Genes & Development. 29(24). 2617–2632. 17 indexed citations
3.
Salzberg, Yehuda, Carlos A. Díaz-Balzac, Nelson J. Ramírez-Suárez, et al.. (2013). Skin-Derived Cues Control Arborization of Sensory Dendrites in Caenorhabditis elegans. Cell. 155(2). 308–320. 117 indexed citations
4.
Tran, Tracy S., et al.. (2013). Neuropilin2 regulates the guidance of post-crossing spinal commissural axons in a subtype-specific manner. Neural Development. 8(1). 15–15. 11 indexed citations
5.
Insolera, Ryan, et al.. (2012). Axon Sorting within the Spinal Cord Marginal Zone via Robo-Mediated Inhibition of N-Cadherin Controls Spinocerebellar Tract Formation. Journal of Neuroscience. 32(44). 15377–15387. 31 indexed citations
6.
Kaprielian, Zaven, et al.. (2012). Guidance of longitudinally projecting axons in the developing central nervous system. Frontiers in Molecular Neuroscience. 5. 59–59. 17 indexed citations
7.
Mastick, Grant S., et al.. (2012). Motor axon exit from the mammalian spinal cord is controlled by the homeodomain protein Nkx2.9 via Robo-Slit signaling. Development. 139(8). 1435–1446. 19 indexed citations
8.
Reeber, Stacey L., et al.. (2008). Manipulating Robo ExpressionIn VivoPerturbs Commissural Axon Pathfinding in the Chick Spinal Cord. Journal of Neuroscience. 28(35). 8698–8708. 39 indexed citations
9.
Imondi, Ralph, et al.. (2007). Mis-expression of L1 on pre-crossing spinal commissural axons disrupts pathfinding at the ventral midline. Molecular and Cellular Neuroscience. 36(4). 462–471. 15 indexed citations
10.
Pittman, Andrew J., et al.. (2006). Distribution of EphB receptors and ephrin-B1 in the developing vertebrate spinal cord. The Journal of Comparative Neurology. 497(5). 734–750. 34 indexed citations
11.
Murakami, Fujio, et al.. (2006). The role of floor plate contact in the elaboration of contralateral commissural projections within the embryonic mouse spinal cord. Developmental Biology. 296(2). 499–513. 20 indexed citations
12.
Kaprielian, Zaven, et al.. (2004). Diversity of contralateral commissural projections in the embryonic rodent spinal cord. The Journal of Comparative Neurology. 472(4). 411–422. 33 indexed citations
13.
Liu, Ying, Yuanyuan Wu, Jeffrey C. Lee, et al.. (2002). Oligodendrocyte and astrocyte development in rodents: An in situ and immunohistological analysis during embryonic development. Glia. 40(1). 25–43. 132 indexed citations
14.
15.
Schubert, William & Zaven Kaprielian. (2001). Identification and characterization of a cell surface marker for embryonic rat spinal accessory motor neurons. The Journal of Comparative Neurology. 439(3). 368–383. 22 indexed citations
16.
Runko, Erik, Christi Wideman, & Zaven Kaprielian. (1999). Cloning and Expression of VEMA: A Novel Ventral Midline Antigen in the Rat CNS. Molecular and Cellular Neuroscience. 14(6). 428–443. 30 indexed citations
17.
Runko, Erik, et al.. (1998). New cell surface marker of the rat floor plate and notochord. Developmental Dynamics. 211(4). 314–326. 12 indexed citations
18.
Kaprielian, Zaven, et al.. (1996). Cell surface markers of the rat floor plate. The Society for Neuroscience Abstracts. 22. 1217. 1 indexed citations
19.
Kaprielian, Zaven, Kyung-Ok Cho, Michael Hadjiargyrou, & PH Patterson. (1995). CD9, a major platelet cell surface glycoprotein, is a ROCA antigen and is expressed in the nervous system. Journal of Neuroscience. 15(1). 562–573. 69 indexed citations
20.
Karin, Norman J., Zaven Kaprielian, & Douglas M. Fambrough. (1989). Expression of Avian Ca 2+ -ATPase in Cultured Mouse Myogenic Cells. Molecular and Cellular Biology. 9(5). 1978–1986. 71 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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