Philip J. Ebert

42 papers receiving 3.6k citations

Philip J. Ebert's Hit Papers

Effect of Bamlanivimab as Monotherapy or in Combination With Etesevimab on Viral Load in Patients With Mild to Moderate COVID-19 2021 · 685 citations
6850+1+3Years since publication200400600

Peers

Philip J. Ebert
Comparison fields: 5 of 131
  • Biological Psychiatry 142
  • Developmental Neuroscience 210
  • Infectious Diseases 587
  • Cognitive Neuroscience 632
  • Cellular and Molecular Neuroscience 536
Replace Franca Rosa Guerini with:
Franca Rosa Guerini Italy
Shane McCarthy United States
Simon T. Schafer United States
Zhen Li China
Katherine E. Conant United States
Yongjun Wang China
Justin P. Rubio Australia
Stefan Bonn Germany
Yooree Chae United States
Daniela Berdnik United States
Philip J. Ebert relative to Franca Rosa Guerini Italy Franca Rosa Guerini's profile →
Citations per field
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Franca Rosa Guerini · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of Bamlanivimab as Monotherapy or in Combination With Etesevimab on Viral Load in Patients With Mild to Moderate COVID-19
Hit paper breakdown →
2021685
2 2006348
3 2008320
4 2001251
5 2006216
6 2019189
7 2007173
8 2007110
9 200998
10 201094
11 200384
12 200683
13 201577
14 201068
15 201468
16 201964
17 201863
18 201762
19 200758
20 202156

About Philip J. Ebert

Philip J. Ebert is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research, Developmental Neuroscience and Hepatology, having authored 43 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Receptor Mechanisms and Signaling (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Advanced Breast Cancer Therapies (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Biological Psychiatry (142 citations), Developmental Neuroscience (210 citations), Infectious Diseases (587 citations), Cognitive Neuroscience (632 citations) and Cellular and Molecular Neuroscience (536 citations). Philip J. Ebert has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Pat Levitt, Károly Mirnics, Antonio Maria Persico, Jerry L. Campbell, Krassimira A. Garbett, Amanda Mitchell, Thomas Hunsaker, Jane E. B. Johnson, Amy W. Helms and Barbara Manzi. Their work appears in journals such as Molecular Psychiatry, Clinical Cancer Research, Scientific Reports, Neuron and Neuroscience.

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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