David J. Eckstein

2.7k citations
61 papers · 1.8k · h-index 25

Impact in

  • Aging top 5%
  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomics and Rare Diseases 16
    • Genetics and Neurodevelopmental Disorders 8
    • RNA Research and Splicing 5
    • RNA regulation and disease 5
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 4
    • Congenital heart defects research 4

David J. Eckstein

61 papers receiving 1.7k citations

Peers

David J. Eckstein
Comparison fields: 5 of 109
  • Aging 59
  • Genetics 659
  • Molecular Biology 930
  • Cell Biology 175
  • Physiology 41
Replace Elizabeth A. Burke with:
Elizabeth A. Burke United States
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Esteban C. Dell’Angelica United States
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Francesco Chiani Italy
Emilie D. Douine United States
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Citations per field
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Citations per year

Countries citing papers authored by David J. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by David J. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside David J. Eckstein, 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 David J. Eckstein Line = papers co-authored together David J. Eckstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017162
2 2017133
3 201884
4 201681
5 201880
6 201976
7 201870
8 201669
9 198963
10 201862
11 201953
12 202050
13 199242
14 201942
15 202042
16 201940
17 201739
18 201737
19 201434
20 202134

About David J. Eckstein

David J. Eckstein is a scholar working on Genetics, Molecular Biology, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (16 papers), Genetics and Neurodevelopmental Disorders (8 papers), Cellular transport and secretion (6 papers), RNA Research and Splicing (5 papers), RNA regulation and disease (5 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Aging (59 citations), Genetics (659 citations), Molecular Biology (930 citations), Cell Biology (175 citations) and Physiology (41 citations). David J. Eckstein has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Barry D. Shur, Rashmi Gopal-Srivastava, Stephen C. Groft, Jeffrey P. Krischer, Pia Kivisäkk, Richard M. Ransohoff, Corinna Trebst, Matthew F. Starost, William H. Pritchard and John W. Karanian. Their work appears in journals such as The American Journal of Human Genetics, Genetics in Medicine, Brain, Orphanet Journal of Rare Diseases and Proceedings of the National Academy of Sciences.

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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