Michael K. Hansen

78 papers receiving 3.8k citations

Michael K. Hansen's Hit Papers

Canagliflozin reduces inflammation and fibrosis biomarkers: a potential mechanism of action for beneficial effects of SGLT2 inhibitors in diabetic kidney disease 2019 · 351 citations
3510+2+4Years since publication100200300

Peers

Michael K. Hansen
Comparison fields: 5 of 121
  • Biological Psychiatry 413
  • Behavioral Neuroscience 584
  • Neurology 747
  • Endocrine and Autonomic Systems 434
  • Physiology 836
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Colin Sumners United States
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Citations per year

Countries citing papers authored by Michael K. Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Hansen. 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 Michael K. Hansen. The network helps show where Michael K. Hansen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000403
2
Canagliflozin reduces inflammation and fibrosis biomarkers: a potential mechanism of action for beneficial effects of SGLT2 inhibitors in diabetic kidney disease
Hit paper breakdown →
2019351
3 2007284
4 2003202
5 2010163
6 1998160
7 2001133
8 2000122
9 2003114
10 2003110
11 1999107
12 199799
13 200484
14 200083
15 200377
16 199873
17 200063
18 200162
19 199861
20
Nuclear receptors as drug targets in obesity, dyslipidemia and atherosclerosis.
200857

About Michael K. Hansen

Michael K. Hansen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Neurology, Physiology and Endocrine and Autonomic Systems, having authored 81 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Immune Response and Inflammation (10 papers), Pancreatic function and diabetes (9 papers), Neuroscience of respiration and sleep (8 papers), Sleep and Wakefulness Research (7 papers), Chronic Kidney Disease and Diabetes (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Biological Psychiatry (413 citations), Behavioral Neuroscience (584 citations), Neurology (747 citations), Endocrine and Autonomic Systems (434 citations) and Physiology (836 citations). Michael K. Hansen has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Steven F. Maier, Linda R. Watkins, James M. Krueger, Lisa E. Goehler, Kevin O’Connor, Ron P.A. Gaykema, Hiddo J.L. Heerspink, John D. Johnson, Terence E. Ryan and Zutang Chen. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Autonomic Neuroscience, Cardiovascular Diabetology, Diabetes Care and Diabetes.

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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