Anna Foryst‐Ludwig
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Physiology top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Ulrich KintscherThomas UngerMarkus ClemenzMichael NaumannMartin HartgeC SprangMichael SchuppMaxim Krikov
- Topics
- Adipose Tissue and Metabolism (20 papers)Cardiovascular Function and Risk Factors (11 papers)Adipokines, Inflammation, and Metabolic Diseases (11 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Anna Foryst‐Ludwig
55 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 932
- Epidemiology 874
- Physiology 817
- Molecular Biology 774
- Endocrinology, Diabetes and Metabolism 724
Countries citing papers authored by Anna Foryst‐Ludwig
This map shows the geographic impact of Anna Foryst‐Ludwig'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 Anna Foryst‐Ludwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Foryst‐Ludwig more than expected).
Fields of papers citing papers by Anna Foryst‐Ludwig
This network shows the impact of papers produced by Anna Foryst‐Ludwig. 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 Anna Foryst‐Ludwig. The network helps show where Anna Foryst‐Ludwig may publish in the future.
Co-authorship network of co-authors of Anna Foryst‐Ludwig
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Foryst‐Ludwig. A scholar is included among the top collaborators of Anna Foryst‐Ludwig 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 Anna Foryst‐Ludwig. Anna Foryst‐Ludwig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 65 | |
| 11 | 27 | |
| 12 | 単離された心内膜下損傷の実験的モデルにおけるスペックルトラッキング心エコー法の応用【Powered by NICT】 | 7 |
| 13 | 70 | |
| 14 | 51 | |
| 15 | 71 | |
| 16 | 140 | |
| 17 | 25 | |
| 18 | Increased high density lipoprotein cholesterol induced by human apolipoprotein A-1 gene transfer increases adiponectin expression in abdominal adipose tissue | 1 |
| 19 | 89 | |
| 20 | 92 |
About Anna Foryst‐Ludwig
Anna Foryst‐Ludwig is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Biochemistry, having authored 55 papers that have together received 3.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (20 papers), Cardiovascular Function and Risk Factors (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (724 citations), Cardiology and Cardiovascular Medicine (932 citations) and Physiology (817 citations). Anna Foryst‐Ludwig has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ulrich Kintscher, Thomas Unger, Markus Clemenz, Michael Naumann, Martin Hartge, C Sprang, Michael Schupp, Maxim Krikov, Nikolaus Marx and Vera Regitz‐Zagrosek. Their work appears in journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.
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.