Emma C. Ferber

9 total papers · 990 total citations
7 papers, 801 citations indexed

About

Emma C. Ferber is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Emma C. Ferber has authored 7 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in Emma C. Ferber's work include Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Emma C. Ferber is often cited by papers focused on Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Emma C. Ferber collaborates with scholars based in United Kingdom, Germany and Japan. Emma C. Ferber's co-authors include Almut Schulze, Barrie Peck, Philip East, Oona Delpuech, Yasuyuki Fujita, Karim Bensaad, Zuo‐Feng Zhang, Susana R�os, Adrian L. Harris and Caroline A. Lewis and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Emma C. Ferber

7 papers receiving 792 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emma C. Ferber 616 275 141 94 77 7 801
Shaowu Zou 599 1.0× 243 0.9× 131 0.9× 109 1.2× 79 1.0× 12 828
Marc-André Déry 463 0.8× 288 1.0× 83 0.6× 114 1.2× 40 0.5× 11 727
Michael Mueckler 570 0.9× 274 1.0× 71 0.5× 159 1.7× 152 2.0× 7 912
KangAe Lee 444 0.7× 391 1.4× 118 0.8× 173 1.8× 54 0.7× 6 829
Daniela Flügel 452 0.7× 374 1.4× 79 0.6× 134 1.4× 47 0.6× 9 737
Mark R. Lundquist 640 1.0× 274 1.0× 156 1.1× 148 1.6× 70 0.9× 7 995
Che-Hung Shen 807 1.3× 210 0.8× 153 1.1× 211 2.2× 126 1.6× 8 1.0k
Hadar Sharfi 636 1.0× 494 1.8× 52 0.4× 79 0.8× 47 0.6× 5 809
Sandra Mattu 486 0.8× 357 1.3× 89 0.6× 96 1.0× 111 1.4× 8 793
Kyung Hee Koo 484 0.8× 245 0.9× 95 0.7× 193 2.1× 42 0.5× 11 758

Countries citing papers authored by Emma C. Ferber

Since Specialization
Citations

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

Fields of papers citing papers by Emma C. Ferber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. Ferber. 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 Emma C. Ferber. The network helps show where Emma C. Ferber may publish in the future.

Co-authorship network of co-authors of Emma C. Ferber

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

All Works

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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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