Sara Haidermota
- Surgery
- Cardiology and Cardiovascular Medicine
- Hematology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Pradeep NatarajanMichael C. HonigbergKaavya ParuchuriThomas GillilandJames L. JanuzziSo Mi Jemma ChoMark TrinderSeyedeh M. Zekavat
- Topics
- Lipoproteins and Cardiovascular Health (11 papers)Genetic Associations and Epidemiology (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Sara Haidermota
20 papers receiving 304 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Surgery 143
- Cardiology and Cardiovascular Medicine 90
- Hematology 60
- Genetics 51
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Sara Haidermota
This map shows the geographic impact of Sara Haidermota'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 Sara Haidermota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Haidermota more than expected).
Fields of papers citing papers by Sara Haidermota
This network shows the impact of papers produced by Sara Haidermota. 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 Sara Haidermota. The network helps show where Sara Haidermota may publish in the future.
Co-authorship network of co-authors of Sara Haidermota
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Haidermota. A scholar is included among the top collaborators of Sara Haidermota 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 Sara Haidermota. Sara Haidermota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Diseasebreakdown → | 83 |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 50 | |
| 12 | 15 | |
| 13 | 38 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 59 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 6 |
About Sara Haidermota
Sara Haidermota is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 20 papers that have together received 310 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Genetic Associations and Epidemiology (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Hematology (60 citations), Genetics (51 citations) and Cardiology and Cardiovascular Medicine (90 citations). Sara Haidermota has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Pradeep Natarajan, Michael C. Honigberg, Kaavya Paruchuri, Thomas Gilliland, James L. Januzzi, So Mi Jemma Cho, Mark Trinder, Seyedeh M. Zekavat, Zhi Yu and Whitney Hornsby. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.