Eva Fhärm
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- General Health Professions
- Co-authors
- Margareta NorbergLars WeinehallPatrik WennbergOlov RolandssonSimon J. GriffinGráinne H. LongAdina L. FeldmanKristina Lindvall
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Diabetes Treatment and Management (4 papers)Diabetes Management and Education (3 papers)
- Cited by
- Family PracticeCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- SwedenUnited KingdomAustralia
In The Last Decade
Eva Fhärm
19 papers receiving 401 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 138
- Public Health, Environmental and Occupational Health 102
- Endocrinology, Diabetes and Metabolism 100
- Epidemiology 60
- General Health Professions 57
Countries citing papers authored by Eva Fhärm
This map shows the geographic impact of Eva Fhärm'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 Eva Fhärm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Fhärm more than expected).
Fields of papers citing papers by Eva Fhärm
This network shows the impact of papers produced by Eva Fhärm. 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 Eva Fhärm. The network helps show where Eva Fhärm may publish in the future.
Co-authorship network of co-authors of Eva Fhärm
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Fhärm. A scholar is included among the top collaborators of Eva Fhärm 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 Eva Fhärm. Eva Fhärm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 131 | |
| 9 | 25 | |
| 10 | 41 | |
| 11 | 34 | |
| 12 | 30 | |
| 13 | 10 | |
| 14 | 33 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | Treatment of cardiovascular risk factors in type 2 diabetes : time trends and clinical practice | 1 |
| 18 | 18 | |
| 19 | 6 |
About Eva Fhärm
Eva Fhärm is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Behavioral Neuroscience, having authored 19 papers that have together received 414 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Treatment and Management (4 papers) and Diabetes Management and Education (3 papers). The work is most often cited by research in Family Practice (16 citations), Cardiology and Cardiovascular Medicine (138 citations) and Endocrinology, Diabetes and Metabolism (100 citations). Eva Fhärm has collaborated with scholars based in Sweden, United Kingdom and Australia. Frequent co-authors include Margareta Norberg, Lars Weinehall, Patrik Wennberg, Olov Rolandsson, Simon J. Griffin, Gráinne H. Long, Adina L. Feldman, Kristina Lindvall, Ingegerd Johansson and Ulf Näslund. Their work appears in journals such as The Lancet, Diabetologia and BMC Public Health.
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.