Daniel Eriksson

814 citations
38 papers · 557 · h-index 13

Impact in

Papers in

Daniel Eriksson

36 papers receiving 544 citations

Peers

Daniel Eriksson
Comparison fields: 5 of 69
  • Internal Medicine 98
  • Cardiology and Cardiovascular Medicine 276
  • Hematology 65
  • Nephrology 40
  • Immunology 38
Replace Rino Migliacci with:
Rino Migliacci Italy
Ashley Chen United States
Mika Skeppholm Sweden
B. Imbert France
Melissa Aquino United States
Sridhar Kamath United Kingdom
Tuomo Ilva Finland
Ahmet Çamsarı Türkiye
Gökhan Aksan Türkiye
Janine Dörffler-Melly Switzerland
Daniel Eriksson relative to Rino Migliacci Italy Rino Migliacci's profile →
Citations per field
00.5×10×13.7×
Rino Migliacci · 1×
Citations per year

Countries citing papers authored by Daniel Eriksson

Since Specialization
Citations

This map shows the geographic impact of Daniel Eriksson'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 Daniel Eriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eriksson more than expected).

Fields of papers citing papers by Daniel Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Eriksson. 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 Daniel Eriksson. The network helps show where Daniel Eriksson may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Eriksson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Eriksson Line = papers co-authored together Daniel Eriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201666
3 201962
4 201946
5 201936
6 201931
7 201626
8 201824
9 201920
10 201719
11 201518
12 201817
13 201812
14 201811
15 201911
16 201610
17 20159
18 20188
19 20238
20 20236

About Daniel Eriksson

Daniel Eriksson is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Genetics, Economics and Econometrics and Internal Medicine, having authored 38 papers that have together received 557 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (12 papers), Hemophilia Treatment and Research (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Platelet Disorders and Treatments (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Pharmaceutical industry and healthcare (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Internal Medicine (98 citations), Cardiology and Cardiovascular Medicine (276 citations), Hematology (65 citations), Nephrology (40 citations) and Immunology (38 citations). Daniel Eriksson has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Craig I Coleman, Thomas J. Bunz, Anna‐Katharina Meinecke, Nitesh Sood, William L. Baker, Reinhold Kreutz, Floortje van Nooten, James Jackson, David Goldsmith and Brandon Martinez. Their work appears in journals such as Value in Health, Advances in Therapy, European Heart Journal, European Heart Journal - Cardiovascular Pharmacotherapy and Diabetes Obesity and Metabolism.

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.

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