Mia Kattenhorn

2.1k citations
13 papers · 1.5k indexed · h-index 8

Mia Kattenhorn

13 papers receiving 1.4k citations

Peers

Mia Kattenhorn
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 668
  • Developmental Neuroscience 110
  • Obstetrics and Gynecology 182
  • Endocrine and Autonomic Systems 101
  • Pediatrics, Perinatology and Child Health 280
Replace Klaus Hofmann‐Kiefer with:
Klaus Hofmann‐Kiefer Germany
Thorsten Annecke Germany
Maria J. Eriksson Sweden
Maria Alevizaki Greece
Tommaso Fiore Italy
William J. Greeley United States
H S Klopfenstein United States
M. Ramez Salem United States
E Lowenstein United States
Stephen Choi Canada
Mia Kattenhorn relative to Klaus Hofmann‐Kiefer Germany Klaus Hofmann‐Kiefer's profile →
Citations per field
00.5×5.9×
Klaus Hofmann‐Kiefer · 1×
Citations per year

Countries citing papers authored by Mia Kattenhorn

Since Specialization
Citations

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

Fields of papers citing papers by Mia Kattenhorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 2003132
2 200256
3 20027
4 200268
5 2002151
6 2002285
7 2001207
8 20017
9 2001283
10 2001266
11
Ischemic preconditioning prevents endothelial injury and immune cell activation during ischemia-reperfusion in humans in vivo.
20001
12
Reduced vascular function determines high blood pressure and increased left ventricular mass in patients with repaired aortic coarctation
20004
13
The Glu298-Asp endothelial nitric oxide synthase gene polymorphism interacts with environmental and dietary factors to influence endothelial function
20003

About Mia Kattenhorn

Mia Kattenhorn is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (7 papers), Congenital Heart Disease Studies (4 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiovascular Issues in Pregnancy (2 papers), Antioxidant Activity and Oxidative Stress (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (668 citations), Developmental Neuroscience (110 citations) and Obstetrics and Gynecology (182 citations). Mia Kattenhorn has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include John Deanfield, Alan Lucas, C. P. M. Leeson, Ann E. Donald, Ruth Morley, Tim Cole, Michael Mullen, Andrew N. Redington, Marcello de Divitiis and Carlo Benatti Pilla.

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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