J Eskilsson
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Magdalena CwikielM. AlbertssonMaria AlbertssonBirgitta BülowLars HagmarEva Marie ErfurthPeter Nilsson‐EhleAnders Roijer
- Topics
- Chemotherapy-induced cardiotoxicity and mitigation (11 papers)Cancer Treatment and Pharmacology (10 papers)Cardiac Imaging and Diagnostics (5 papers)
- Partner nations
- SwedenAustraliaUnited States
In The Last Decade
J Eskilsson
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 674
- Oncology 319
- Pulmonary and Respiratory Medicine 257
- Radiology, Nuclear Medicine and Imaging 208
- Endocrinology, Diabetes and Metabolism 196
Countries citing papers authored by J Eskilsson
This map shows the geographic impact of J Eskilsson'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 J Eskilsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Eskilsson more than expected).
Fields of papers citing papers by J Eskilsson
This network shows the impact of papers produced by J Eskilsson. 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 J Eskilsson. The network helps show where J Eskilsson may publish in the future.
Co-authorship network of co-authors of J Eskilsson
This figure shows the co-authorship network connecting the top 25 collaborators of J Eskilsson. A scholar is included among the top collaborators of J Eskilsson 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 J Eskilsson. J Eskilsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 49 | |
| 6 | 118 | |
| 7 | 38 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 74 | |
| 12 | 16 | |
| 13 | 57 | |
| 14 | Inverse relation between plasma concentration of von Willebrand factor and CrEDTA clearance in systemic sclerosis. | 8 |
| 15 | 115 | |
| 16 | 24 | |
| 17 | 101 | |
| 18 | 91 | |
| 19 | 70 | |
| 20 | 67 |
About J Eskilsson
J Eskilsson is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Oncology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (11 papers), Cancer Treatment and Pharmacology (10 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (674 citations), Developmental Neuroscience (91 citations) and Internal Medicine (73 citations). J Eskilsson has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Magdalena Cwikiel, M. Albertsson, Maria Albertsson, Birgitta Bülow, Lars Hagmar, Eva Marie Erfurth, Peter Nilsson‐Ehle, Anders Roijer, A. Lindgren and Bo Norrving. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Stroke.
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.