Jane S. Tuttle

675 citations
11 papers · 575 · h-index 9

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Retinal Development and Disorders 2
    • Metabolism, Diabetes, and Cancer 1

Jane S. Tuttle

11 papers receiving 570 citations

Peers

Jane S. Tuttle
Comparison fields: 5 of 62
  • Developmental Neuroscience 54
  • Cell Biology 146
  • Cellular and Molecular Neuroscience 115
  • Molecular Biology 410
  • Immunology and Allergy 25
Replace Geng‐Xian Shi with:
Geng‐Xian Shi United States
Masahide Fukada Japan
Isabelle Cornez Germany
B. Canton France
Mélanie J. Chagnon Canada
Ute Laessing Germany
Jason Catania United States
Nina Westerlund Finland
Beth A. Connolly United States
Akira Tokuda Japan
Jane S. Tuttle relative to Geng‐Xian Shi United States Geng‐Xian Shi's profile →
Citations per field
00.5×1.5×
Geng‐Xian Shi · 1×
Citations per year

Countries citing papers authored by Jane S. Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Jane S. Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane S. Tuttle. 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 Jane S. Tuttle. The network helps show where Jane S. Tuttle may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1995259
2 200490
3 198563
4 199743
5 199637
6 199633
7 199221
8 198714
9 199812
10 19812
11 19821

About Jane S. Tuttle

Jane S. Tuttle is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 11 papers that have together received 575 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Retinal Development and Disorders (2 papers), Pancreatic function and diabetes (1 paper), Connective tissue disorders research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (54 citations), Cell Biology (146 citations), Cellular and Molecular Neuroscience (115 citations), Molecular Biology (410 citations) and Immunology and Allergy (25 citations). Jane S. Tuttle has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Perry J. Blackshear, Deborah J. Stumpo, Cheryl B. Bock, Heping Cao, Sharon L. Swierczynski, Angus C. Nairn, John Cogswell, Daniella Livnat, David W. Scott and Kathleen K. Sulik. Their work appears in journals such as Journal of Biological Chemistry, Cellular Immunology, Developmental Biology, Experimental Neurology and Developmental Brain 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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