Philip J. Ebert

36 papers receiving 2.3k citations

Peers

Philip J. Ebert
Comparison fields: 5 of 118
  • Developmental Neuroscience 208
  • Biological Psychiatry 82
  • Cognitive Neuroscience 571
  • Cellular and Molecular Neuroscience 454
  • Genetics 634
Replace Irina Voineagu with:
Irina Voineagu Australia
Juan I. Young United States
Nicholas J. Bray United Kingdom
Nael Nadif Kasri Netherlands
Toshifumi Tomoda United States
Sanbing Shen Ireland
Steven D. Sheridan United States
Zhaolan Zhou United States
Vladimir V. Senatorov United States
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Citations per year

Countries citing papers authored by Philip J. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Ebert. 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 Philip J. Ebert. The network helps show where Philip J. Ebert may publish in the future.

Co-authors

The 25 scholars most cited alongside Philip J. Ebert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip J. Ebert Line = papers co-authored together Philip J. Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006310
2 2008294
3 2001245
4 2006199
5 2007157
6 2019154
7 2007102
8 200989
9 200379
10 200674
11 201066
12 201464
13 201862
14 200749
15 201847
16 201944
17 201739
18 201838
19 201331
20 202323

About Philip J. Ebert

Philip J. Ebert is a scholar working on Developmental Neuroscience, Biological Psychiatry, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Receptor Mechanisms and Signaling (3 papers), Cancer-related Molecular Pathways (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Developmental Neuroscience (208 citations), Biological Psychiatry (82 citations), Cognitive Neuroscience (571 citations), Cellular and Molecular Neuroscience (454 citations) and Genetics (634 citations). Philip J. Ebert has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Pat Levitt, Károly Mirnics, Antonio M. Persico, Jerry L. Campbell, Krassimira Garbett, Amanda Mitchell, Jane E. Johnson, Thomas Hunsaker, Amy W. Helms and Barbara Manzi. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Molecular Psychiatry, Biological Psychiatry and Scientific Reports.

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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