James D. Ebert

1.4k citations
58 papers · 1.2k · h-index 21

Impact in

    • Muscle Physiology and Disorders
    • Ion channel regulation and function
    • Congenital heart defects research
    • RNA Interference and Gene Delivery
    • Lipid Membrane Structure and Behavior
    • Animal Virus Infections Studies

Papers in

    • Glycosylation and Glycoproteins Research 3
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 7
    • Animal Genetics and Reproduction 5

James D. Ebert

56 papers receiving 967 citations

Peers

James D. Ebert
Comparison fields: 5 of 137
  • Molecular Biology 640
  • Animal Science and Zoology 96
  • Genetics 246
  • Cellular and Molecular Neuroscience 133
  • Cell Biology 99
Replace George W. Nace with:
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Citations per field
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Citations per year

Countries citing papers authored by James D. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by James D. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James D. 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 James D. Ebert Line = papers co-authored together James D. Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195375
2 197471
3 197266
4 197264
5 196652
6 195447
7 196847
8 197244
9 195144
10 200642
11 197536
12 195536
13 196133
14
Interacting systems in development
197032
15 196630
16 197329
17 196029
18 195228
19 195927
20 197125

About James D. Ebert

James D. Ebert is a scholar working on Molecular Biology, Genetics, Immunology, Cellular and Molecular Neuroscience and Ecology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Animal Genetics and Reproduction (5 papers), Animal Virus Infections Studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Physiological and biochemical adaptations (3 papers), DNA Repair Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (640 citations), Animal Science and Zoology (96 citations), Genetics (246 citations), Cellular and Molecular Neuroscience (133 citations) and Cell Biology (99 citations). James D. Ebert has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include M. Edward Kaighn, Charles W. Orr, Keiko Ozato, Guido Westhoff, Terence F. McDonald, Ian M. Sussex, Peter J. Stambrook, William Adler, Fred H. Wilt and H. Sachs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cellular Immunology, BioScience, Biological Bulletin and Journal of Cellular Physiology.

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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