Elena B. Pasquale

19.5k citations
196 papers · 15.7k indexed · 3 hit papers · h-index 67
Topics
Axon Guidance and Neuronal Signaling (145 papers)Hippo pathway signaling and YAP/TAZ (45 papers)Angiogenesis and VEGF in Cancer (39 papers)
Partner nations
United StatesCanadaItaly

In The Last Decade

Elena B. Pasquale

192 papers receiving 15.4k citations

Hit Papers

Eph-Ephrin Bidirectional Signaling in Physiology and Disease20052026201220192008201020052505007501000

Peers

Elena B. Pasquale
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 10.5k
  • Molecular Biology 8.8k
  • Cell Biology 5.0k
  • Developmental Neuroscience 1.8k
  • Oncology 1.8k
Replace Mark Henkemeyer with:
Mark Henkemeyer United States
Lloyd A. Greene United States
Linda Hu United States
Mutsuki Amano Japan
Hironori Katoh Japan
Gilbert Di Paolo United States
Jean de Vellis United States
Yuko Fukata Japan
Azad Bonni United States
Mathias Bähr Germany
Elena B. Pasquale relative to Mark Henkemeyer United States Mark Henkemeyer's profile →
Citations per field
00.5×2.7×
Mark Henkemeyer · 1×
Citations per year

Countries citing papers authored by Elena B. Pasquale

Since Specialization
Citations

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

Fields of papers citing papers by Elena B. Pasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena B. Pasquale. 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 Elena B. Pasquale. The network helps show where Elena B. Pasquale may publish in the future.

Co-authorship network of co-authors of Elena B. Pasquale

This figure shows the co-authorship network connecting the top 25 collaborators of Elena B. Pasquale. A scholar is included among the top collaborators of Elena B. Pasquale 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 Elena B. Pasquale. Elena B. Pasquale 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
#WorkIndexed citations
1 0
2 0
3 2
4 5
5 19
6 22
7 38
8 12
9 44
10 85
11 33
12 56
13 169
14 21
15 136
16 55
17 116
18 15
19 56
20 130

About Elena B. Pasquale

Elena B. Pasquale is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 196 papers that have together received 15.7k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (145 papers), Hippo pathway signaling and YAP/TAZ (45 papers) and Angiogenesis and VEGF in Cancer (39 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (10.5k citations), Developmental Neuroscience (1.8k citations) and Cell Biology (5.0k citations). Elena B. Pasquale has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Keith K. Murai, Nicole Noren Hooten, Yu Yamaguchi, Iryna M. Ethell, Pamela Maher, Mitchell Koolpe, Matthew S. Kalo, Sherwin J. Singer, Vincent Dodelet and Fumitoshi Irie. Their work appears in journals such as Nature, Science and Cell.

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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