Heather Towery

3.1k citations
10 papers · 2.5k indexed · 1 hit paper · h-index 9
Topics
Metabolism, Diabetes, and Cancer (5 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)Pancreatic function and diabetes (2 papers)

In The Last Decade

Heather Towery

10 papers receiving 2.5k citations

Hit Papers

Disruption of IRS-2 causes type 2 diabetes in mice199820262007201619984008001.2k

Peers

Heather Towery
Comparison fields: 5 of 103
  • Molecular Biology 1.6k
  • Surgery 1.1k
  • Endocrinology, Diabetes and Metabolism 695
  • Physiology 498
  • Genetics 493
Replace Pamela J. Kaisaki with:
Pamela J. Kaisaki United Kingdom
Chong Wee Liew United States
Barbara Leibiger Sweden
Jocelyn E. Manning Fox Canada
Timothy L. Reudelhuber Canada
Judith Y. Altarejos United States
Philipp Gut Switzerland
Kathy D. Shelton United States
David A. Jacobson United States
Fayçal Boussouar France
Heather Towery relative to Pamela J. Kaisaki United Kingdom Pamela J. Kaisaki's profile →
Citations per field
00.5×1.5×
Pamela J. Kaisaki · 1×
Citations per year

Countries citing papers authored by Heather Towery

Since Specialization
Citations

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

Fields of papers citing papers by Heather Towery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Towery

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Towery. A scholar is included among the top collaborators of Heather Towery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heather Towery. Heather Towery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 11
3 47
4 369
5 88
6 446
7
Disruption of IRS-2 causes type 2 diabetes in micebreakdown →
1412
8 58
9
Withers, D. J. et al. Disruption of IRS-2 causes type 2 diabetes in mice. Nature 391, 900-904
55
10 49

About Heather Towery

Heather Towery is a scholar working on Aging, Complementary and Manual Therapy and Health Information Management, having authored 10 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Aging (84 citations), Endocrinology, Diabetes and Metabolism (695 citations) and Endocrine and Autonomic Systems (247 citations). Heather Towery has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Morris F. White, Deborah J. Burks, Dominic J. Withers, Sebastián Pons, Yitao Zhang, Susan Bonner‐Weir, Stephen F. Previs, Gerald I. Shulman, Dolores Bernal and Jianming Ren. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Genetics.

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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