Scott C. Crable

701 citations
15 papers · 606 · h-index 12

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Genetic Syndromes and Imprinting
  • Hematology top 10%

Papers in

    • Epigenetics and DNA Methylation 2
    • Kruppel-like factors research 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 2
    • Hemoglobinopathies and Related Disorders 8
    • Animal Genetics and Reproduction 3

Scott C. Crable

14 papers receiving 593 citations

Peers

Scott C. Crable
Comparison fields: 5 of 62
  • Genetics 128
  • Hematology 99
  • Molecular Biology 460
  • Genetics 109
  • Physiology 78
Replace Kimberly R. Blahnik with:
Kimberly R. Blahnik United States
Xianjiang Lan United States
Erik L. Bao United States
Mira Kassouf United Kingdom
Ji Yoo Kim Japan
Theodoros Kosteas Greece
Rachid Lahlil France
Anita M. Quintana United States
G. Nozari United States
Scott C. Crable relative to Kimberly R. Blahnik United States Kimberly R. Blahnik's profile →
Citations per field
00.5×1.5×2×2.4×
Kimberly R. Blahnik · 1×
Citations per year

Countries citing papers authored by Scott C. Crable

Since Specialization
Citations

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

Fields of papers citing papers by Scott C. Crable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Scott C. Crable, 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 Scott C. Crable Line = papers co-authored together Scott C. Crable links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1995230
2 199869
3 199260
4 200044
5 200540
6 200433
7 199231
8 200325
9 201123
10 199217
11 200414
12 199311
13 20136
14 20062
15 20051

About Scott C. Crable

Scott C. Crable is a scholar working on Molecular Biology, Genetics, Physiology, Genetics and Hematology, having authored 15 papers that have together received 606 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Animal Genetics and Reproduction (3 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Kruppel-like factors research (2 papers), Genomics and Chromatin Dynamics (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (128 citations), Hematology (99 citations), Molecular Biology (460 citations), Genetics (109 citations) and Physiology (78 citations). Scott C. Crable has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Kathleen P. Anderson, Jerry B. Lingrel, Christine B. Kern, Joyce A. Lloyd, Suzan M. Hammond, Clinton H. Joiner, Patrick G. Gallagher, Guoping Zhou, Charlotte E. Paquin and Sharat Chandra. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Biological Chemistry, Experimental Hematology and American Journal of Hematology.

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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