Burritt Haag

1.8k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Growth Hormone and Insulin-like Growth Factors (3 papers)Metabolism, Diabetes, and Cancer (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)

In The Last Decade

Burritt Haag

11 papers receiving 1.3k citations

Hit Papers

Alternative pathway of insulin signalling in mice with ta...199420262004201519942505007501000

Peers

Burritt Haag
Comparison fields: 5 of 83
  • Molecular Biology 845
  • Endocrinology, Diabetes and Metabolism 434
  • Surgery 401
  • Physiology 282
  • Genetics 160
Replace Kazuaki Miyake with:
Kazuaki Miyake Japan
Joyce F. Haskell United States
Alba Casellas Spain
Helen Imrie United Kingdom
Marius R. Robciuc Finland
Motoyoshi Tsujino Japan
Puthenpurackal M. Mathew Saudi Arabia
Tomokazu Matsuda Japan
Syed Haq United States
Lourdes Sánchez de Miguel Spain
Burritt Haag relative to Kazuaki Miyake Japan Kazuaki Miyake's profile →
Citations per field
00.5×1.5×
Kazuaki Miyake · 1×
Citations per year

Countries citing papers authored by Burritt Haag

Since Specialization
Citations

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

Fields of papers citing papers by Burritt Haag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burritt Haag

This figure shows the co-authorship network connecting the top 25 collaborators of Burritt Haag. A scholar is included among the top collaborators of Burritt Haag 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 Burritt Haag. Burritt Haag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 136
2 34
3 27
4 23
5
Alternative pathway of insulin signalling in mice with targeted disruption of the IRS-1 genebreakdown →
1003
6
Acute small bowel ischemia without transmural infarction.
5
7 36
8 3
9 79
10 24
11 36

About Burritt Haag

Burritt Haag is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Emergency Medicine, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (434 citations), Molecular Biology (845 citations) and Aging (21 citations). Burritt Haag has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Eiichi Araki, Jens C. Brüning, Myra A. Lipes, Randall S. Johnson, Mary‐Elizabeth Patti, William A. Buchheit, David Shaw, Charles R. Shuman, Bertram J. Channick and James A. Magner. Their work appears in journals such as Nature, New England Journal of Medicine and Diabetes Care.

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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