Sebastian Appelbaum
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Cancer Research top 10%
- Surgery
- Immunology
- Co-authors
- Stefan BlankenbergTanja ZellerRenate B. SchnabelFrancisco OjedaMahir KarakasKarl J. LacknerThomas MünzelChristian Schulte
- Topics
- Hormonal and reproductive studies (4 papers)Lipoproteins and Cardiovascular Health (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Cited by
- Cancer ResearchCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- GermanyFinlandUnited Kingdom
In The Last Decade
Sebastian Appelbaum
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 388
- Molecular Biology 349
- Cancer Research 288
- Surgery 203
- Immunology 186
Countries citing papers authored by Sebastian Appelbaum
This map shows the geographic impact of Sebastian Appelbaum'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 Sebastian Appelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Appelbaum more than expected).
Fields of papers citing papers by Sebastian Appelbaum
This network shows the impact of papers produced by Sebastian Appelbaum. 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 Sebastian Appelbaum. The network helps show where Sebastian Appelbaum may publish in the future.
Co-authorship network of co-authors of Sebastian Appelbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Appelbaum. A scholar is included among the top collaborators of Sebastian Appelbaum 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 Sebastian Appelbaum. Sebastian Appelbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 43 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 47 | |
| 12 | 159 | |
| 13 | 19 | |
| 14 | 159 | |
| 15 | 47 | |
| 16 | ST2 may not be a useful predictor for incident cardiovascular events, heart failure and mortality | 0 |
| 17 | 17 | |
| 18 | 132 | |
| 19 | 97 | |
| 20 | 38 |
About Sebastian Appelbaum
Sebastian Appelbaum is a scholar working on Developmental Biology, Family Practice and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Cancer Research (288 citations), Cardiology and Cardiovascular Medicine (388 citations) and Endocrinology, Diabetes and Metabolism (166 citations). Sebastian Appelbaum has collaborated with scholars based in Germany, Finland and United Kingdom. Frequent co-authors include Stefan Blankenberg, Tanja Zeller, Renate B. Schnabel, Francisco Ojeda, Mahir Karakas, Karl J. Lackner, Thomas Münzel, Christian Schulte, Veikko Salomaa and Annika Jagodzinski. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.