K Lackner

679 citations
17 papers · 284 · h-index 9

Impact in

    • Cardiovascular Disease and Adiposity
    • Heart Failure Treatment and Management
    • Cardiovascular Function and Risk Factors
    • Cardiac Fibrosis and Remodeling
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

K Lackner

16 papers receiving 275 citations

Peers

K Lackner
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 83
  • Epidemiology 86
  • Rheumatology 33
  • Endocrine and Autonomic Systems 15
  • Endocrinology, Diabetes and Metabolism 21
Replace Ki-ichi Okumura with:
Ki-ichi Okumura Japan
Ayşegül Haberal Türkiye
Christina Strack Germany
Barbara Nikolaidou Greece
Takashi Uegaito Japan
Yuzhong Wu China
István Adorján Szabó Romania
Mattias Ekström Sweden
Tetsuro Kataoka Japan
Okan Bakıner Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by K Lackner

Since Specialization
Citations

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

Fields of papers citing papers by K Lackner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008111
2 201655
3 201530
4 200221
5
Posterior pituitary ectopia: another hint toward a genetic etiology.
200013
6 201512
7 199611
8 201510
9 20168
10
[Experimental and clinical possibilities of MR spectroscopy of the heart].
19914
11 20162
12 19892
13 20221
14 19941
15 20041
16 19941
17 19631

About K Lackner

K Lackner is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 17 papers that have together received 284 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Folate and B Vitamins Research (1 paper), Fatty Acid Research and Health (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (83 citations), Epidemiology (86 citations), Rheumatology (33 citations), Endocrine and Autonomic Systems (15 citations) and Endocrinology, Diabetes and Metabolism (21 citations). K Lackner has collaborated with scholars based in Germany, France and Saudi Arabia. Frequent co-authors include Stefan Blankenberg, Renate B. Schnabel, Christoph Sinning, Christoph Bickel, Dirk Westermann, Tanja Zeller, H. J. Rupprecht, Thomas F. Münzel, Claudia‐Martina Messow and Till Keller. Their work appears in journals such as European Heart Journal, Biomarkers in Medicine, Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases and International Journal of Legal Medicine.

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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