Carmen V. Pepicelli

2.0k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Carmen V. Pepicelli is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Carmen V. Pepicelli has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Carmen V. Pepicelli's work include Hedgehog Signaling Pathway Studies (3 papers), Developmental Biology and Gene Regulation (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Carmen V. Pepicelli is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Developmental Biology and Gene Regulation (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Carmen V. Pepicelli collaborates with scholars based in United States, United Kingdom and Australia. Carmen V. Pepicelli's co-authors include Andrew P. McMahon, Paula Lewis, Hiroki Kokubo, Brendan Lee, Dmitry A. Ovchinnikov, Haixu Chen, Kerby C. Oberg, Randy L. Johnson, Andreas Kispert and David H. Rowitch and has published in prestigious journals such as Nature Genetics, Immunity and Cancer Research.

In The Last Decade

Carmen V. Pepicelli

8 papers receiving 1.5k citations

Hit Papers

Sonic hedgehog regulates branching morphogenesis in the m... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen V. Pepicelli United States 7 1.2k 361 273 248 196 8 1.6k
M. Le Merrer France 23 983 0.8× 164 0.5× 227 0.8× 919 3.7× 263 1.3× 93 1.8k
Ezra Wiater United States 20 1.5k 1.2× 93 0.3× 154 0.6× 247 1.0× 218 1.1× 24 1.9k
Luitgard M. Neumann Germany 20 708 0.6× 208 0.6× 207 0.8× 1.0k 4.1× 141 0.7× 46 1.7k
Cristina A. de Frutos Spain 11 861 0.7× 178 0.5× 156 0.6× 186 0.8× 284 1.4× 13 1.4k
Francis S. Collins United States 11 543 0.4× 327 0.9× 201 0.7× 182 0.7× 271 1.4× 14 1.4k
Sandra Webb United Kingdom 24 1.2k 1.0× 489 1.4× 325 1.2× 407 1.6× 69 0.4× 36 2.0k
Kristin Verschueren Belgium 20 2.4k 1.9× 154 0.4× 298 1.1× 300 1.2× 806 4.1× 28 3.0k
Lin Yi Canada 10 1.5k 1.2× 152 0.4× 492 1.8× 158 0.6× 206 1.1× 14 2.2k
James O’Sullivan United Kingdom 22 1.4k 1.1× 111 0.3× 103 0.4× 510 2.1× 99 0.5× 40 2.0k
Diane Zhou United States 12 1.1k 0.9× 389 1.1× 419 1.5× 190 0.8× 282 1.4× 12 1.7k

Countries citing papers authored by Carmen V. Pepicelli

Since Specialization
Citations

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

Fields of papers citing papers by Carmen V. Pepicelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen V. Pepicelli. 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 Carmen V. Pepicelli. The network helps show where Carmen V. Pepicelli may publish in the future.

Co-authorship network of co-authors of Carmen V. Pepicelli

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

All Works

8 of 8 papers shown
1.
Wang, Da-Gong, Hui Qu, Ling Yin, et al.. (2012). Abstract 3744: Antitumor activity of CUDC-907, a dual PI3K and HDAC inhibitor, in hematological cancer models. Cancer Research. 72(8_Supplement). 3744–3744. 6 indexed citations
3.
Venuti, Judith M., et al.. (2004). Analysis of Sea Urchin Embryo Gene Expression by Immunocytochemistry. Methods in cell biology. 74. 333–369. 5 indexed citations
4.
Fan, Lian, Carmen V. Pepicelli, Christian C. Dibble, et al.. (2004). Hedgehog Signaling Promotes Prostate Xenograft Tumor Growth. Endocrinology. 145(8). 3961–3970. 228 indexed citations
5.
Outram, Susan V., Alberto Varas, Carmen V. Pepicelli, & Tessa Crompton. (2000). Hedgehog Signaling Regulates Differentiation from Double-Negative to Double-Positive Thymocyte. Immunity. 13(2). 187–197. 127 indexed citations
6.
Chen, Haixu, Dmitry A. Ovchinnikov, Hiroki Kokubo, et al.. (1998). Limb and kidney defects in Lmx1b mutant mice suggest an involvement of LMX1B in human nail patella syndrome. Nature Genetics. 19(1). 51–55. 387 indexed citations
7.
Pepicelli, Carmen V., Paula Lewis, & Andrew P. McMahon. (1998). Sonic hedgehog regulates branching morphogenesis in the mammalian lung. Current Biology. 8(19). 1083–1086. 505 indexed citations breakdown →
8.
Pepicelli, Carmen V., Andreas Kispert, David H. Rowitch, & Andrew P. McMahon. (1997). GDNF Induces Branching and Increased Cell Proliferation in the Ureter of the Mouse. Developmental Biology. 192(1). 193–198. 142 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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