Janet Stein

400 citations
10 papers · 328 · h-index 9

Impact in

    • Bone Metabolism and Diseases
    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing

Papers in

    • S100 Proteins and Annexins 2
    • Bone Metabolism and Diseases 2
    • Retinoids in leukemia and cellular processes 2
    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 1
    • Estrogen and related hormone effects 3

Janet Stein

10 papers receiving 323 citations

Peers

Janet Stein
Comparison fields: 5 of 56
  • Molecular Biology 245
  • Cancer Research 33
  • Genetics 65
  • Rheumatology 31
  • Pathology and Forensic Medicine 36
Replace G. S. Stein with:
G. S. Stein United States
Steven Nasioulas Australia
Ritsuko Matsuo Japan
Carlis Rejon Canada
Muhammad Faiyaz ul Haque Pakistan
Laurie Herviou France
Marie Kannius‐Janson Sweden
Roberta Calabrese Italy
Stephen Flowers United States
Guojia Xie China
Janet Stein relative to G. S. Stein United States G. S. Stein's profile →
Citations per field
00.5×
G. S. Stein · 1×
Citations per year

Countries citing papers authored by Janet Stein

Since Specialization
Citations

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

Fields of papers citing papers by Janet Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Stein. 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 Janet Stein. The network helps show where Janet Stein may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201294
2 198773
3 200450
4 200226
5 201624
6 200217
7 199615
8 198813
9 200313
10 20033

About Janet Stein

Janet Stein is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Surgery and Oncology, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), S100 Proteins and Annexins (2 papers), Bone Metabolism and Diseases (2 papers), Retinoids in leukemia and cellular processes (2 papers), Vitamin D Research Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (245 citations), Cancer Research (33 citations), Genetics (65 citations), Rheumatology (31 citations) and Pathology and Forensic Medicine (36 citations). Janet Stein has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Gary S. Stein, André J. van Wijnen, Jane B. Lian, Gary Stein, Martı́n Montecino, Sayyed K. Zaidi, Roberto Paredes, Linda Green, Kristina Kapinas and Sidney R. Grimes. Their work appears in journals such as Biochemical Journal, Connective Tissue Research, The Journal of Steroid Biochemistry and Molecular Biology, PLoS ONE and Nucleic Acids Research.

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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