Raja Kittappa

2.1k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Raja Kittappa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Raja Kittappa has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Developmental Neuroscience. Recurrent topics in Raja Kittappa's work include Pluripotent Stem Cells Research (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Epigenetics and DNA Methylation (3 papers). Raja Kittappa is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Epigenetics and DNA Methylation (3 papers). Raja Kittappa collaborates with scholars based in United States, United Kingdom and Japan. Raja Kittappa's co-authors include Ronald D.G. McKay, Andreas Androutsellis‐Theotokis, Rajeshwar Awatramani, Daniel J. Hoeppner, Soo-Kyung Bae, Ronen R. Leker, Steven Poser, Rea Ravin, Frank Soldner and Maria Adele Rueger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Raja Kittappa

16 papers receiving 1.7k citations

Hit Papers

Notch signalling regulates stem cell numbers in vitro and... 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Notch signalling regulates stem cell numbers in vitro and in vivo
    2006 794 citations Andreas Androutsellis‐Theotokis, Ronen R. Leker et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raja Kittappa United States 11 1.2k 458 439 185 180 16 1.7k
Laura Elias United States 11 1.7k 1.4× 552 1.2× 232 0.5× 185 1.0× 189 1.1× 14 2.1k
Eva Sonnenberg-Riethmacher Germany 14 1.1k 0.9× 663 1.4× 302 0.7× 253 1.4× 345 1.9× 17 2.2k
Raffaella Scardigli Italy 21 1.9k 1.5× 549 1.2× 652 1.5× 264 1.4× 252 1.4× 42 2.4k
Carol Hicks United States 13 1.6k 1.3× 410 0.9× 358 0.8× 237 1.3× 93 0.5× 14 2.3k
Andrée Gauthier-Fisher Canada 17 892 0.7× 310 0.7× 486 1.1× 233 1.3× 113 0.6× 34 1.5k
Tetsushi Kagawa Japan 23 1.1k 0.9× 581 1.3× 780 1.8× 197 1.1× 87 0.5× 36 1.8k
Randall D. McKinnon United States 20 1.3k 1.0× 691 1.5× 970 2.2× 180 1.0× 143 0.8× 36 2.2k
Yechiel Elkabetz Israel 15 1.5k 1.2× 379 0.8× 524 1.2× 158 0.9× 66 0.4× 18 1.9k
David M. Panchision United States 20 1.3k 1.1× 379 0.8× 596 1.4× 137 0.7× 289 1.6× 28 2.0k
Alexandra Capela United States 12 1.4k 1.1× 575 1.3× 1.1k 2.4× 159 0.9× 136 0.8× 17 2.1k

Countries citing papers authored by Raja Kittappa

Since Specialization
Citations

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

Fields of papers citing papers by Raja Kittappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raja Kittappa

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

All Works

16 of 16 papers shown
1.
Kittappa, Raja. (2017). Regulation of the Serotonin Neuron Fate in Stem Cells by foxa2 and shh. 3(2). 1 indexed citations
2.
Tailor, Jignesh, Thomas Andreska, & Raja Kittappa. (2012). From Stem Cells to Dopamine Neurons: Developmental Biology Meets Neurodegeneration. CNS & Neurological Disorders - Drug Targets. 11(7). 893–896. 2 indexed citations
3.
Kittappa, Raja, Stefan R. Bornstein, & Andreas Androutsellis‐Theotokis. (2012). The Role of eNSCs in Neurodegenerative Disease. Molecular Neurobiology. 46(3). 555–562. 6 indexed citations
4.
Lemaître, Hervé, Venkata S. Mattay, Fabio Sambataro, et al.. (2010). Genetic Variation inFGF20Modulates Hippocampal Biology. Journal of Neuroscience. 30(17). 5992–5997. 19 indexed citations
5.
Joksimovic, Milan, et al.. (2009). Wnt antagonism of Shh facilitates midbrain floor plate neurogenesis. Developmental Biology. 331(2). 507–508. 8 indexed citations
6.
Joksimovic, Milan, Beth Yun, Raja Kittappa, et al.. (2009). Wnt antagonism of Shh facilitates midbrain floor plate neurogenesis. Nature Neuroscience. 12(2). 125–131. 169 indexed citations
7.
Joksimovic, Milan, Angela Anderegg, Anil Roy, et al.. (2009). Spatiotemporally separable Shh domains in the midbrain define distinct dopaminergic progenitor pools. Proceedings of the National Academy of Sciences. 106(45). 19185–19190. 94 indexed citations
8.
McKay, Ron & Raja Kittappa. (2008). Will Stem Cell Biology Generate New Therapies for Parkinson's Disease?. Neuron. 58(5). 659–661. 20 indexed citations
9.
Fossella, John, Jin Fan, Xun Liu, et al.. (2008). Provisional hypotheses for the molecular genetics of cognitive development: Imaging genetic pathways in the anterior cingulate cortex. Biological Psychology. 79(1). 23–29. 8 indexed citations
10.
Kittappa, Raja, Wendy Chang, Rajeshwar Awatramani, & Ronald D.G. McKay. (2007). The foxa2 Gene Controls the Birth and Spontaneous Degeneration of Dopamine Neurons in Old Age. PLoS Biology. 5(12). e325–e325. 192 indexed citations
11.
Androutsellis‐Theotokis, Andreas, Ronen R. Leker, Frank Soldner, et al.. (2006). Notch signalling regulates stem cell numbers in vitro and in vivo. Nature. 442(7104). 823–826. 794 indexed citations breakdown →
12.
Walt, Joelle M. van der, Maher Noureddine, Raja Kittappa, et al.. (2004). Fibroblast Growth Factor 20 Polymorphisms and Haplotypes Strongly Influence Risk of Parkinson Disease. The American Journal of Human Genetics. 74(6). 1121–1127. 106 indexed citations
13.
Kim, Jong‐Hoon, David M. Panchision, Raja Kittappa, & Ron McKay. (2003). Generating CNS Neurons from Embryonic, Fetal, and Adult Stem Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 365. 303–327. 26 indexed citations
14.
Tsai, Robert Y. L., Raja Kittappa, & Ronald D.G. McKay. (2002). Plasticity, Niches, and the Use of Stem Cells. Developmental Cell. 2(6). 707–712. 70 indexed citations
15.
Petrenko, Oleksi, et al.. (1999). The Molecular Characterization of the Fetal Stem Cell Marker AA4. Immunity. 10(6). 691–700. 135 indexed citations
16.
Simon, Hans‐Georg, Raja Kittappa, Paul A. Khan, et al.. (1997). A novel family of T-box genes in urodele amphibian limb development and regeneration: candidate genes involved in vertebrate forelimb/hindlimb patterning. Development. 124(7). 1355–1366. 70 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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