Eva Lesén

531 citations
43 papers · 356 · h-index 12

Impact in

Papers in

Eva Lesén

39 papers receiving 346 citations

Peers

Eva Lesén
Comparison fields: 5 of 70
  • Family Practice 39
  • Geriatrics and Gerontology 53
  • Cardiology and Cardiovascular Medicine 95
  • Endocrinology, Diabetes and Metabolism 69
  • Applied Microbiology and Biotechnology 7
Replace Ann S. M. Harada with:
Ann S. M. Harada United States
Michele Tari Italy
Augustine Lam Hong Kong
Łukasz Wierucki Poland
Emma Aarnio Finland
Iefke Drion Netherlands
Laura Pazzagli Sweden
Lindsay C. Burns Canada
Ujjaini Khanderia United States
Chiung‐Jung Wen Taiwan
Eva Lesén relative to Ann S. M. Harada United States Ann S. M. Harada's profile →
Citations per field
00.5×10.2×
Ann S. M. Harada · 1×
Citations per year

Countries citing papers authored by Eva Lesén

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lesén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Lesén, 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 Eva Lesén Line = papers co-authored together Eva Lesén links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201644
2 201129
3 201028
4 202326
5 201921
6 200920
7 201318
8 202317
9 200914
10 201713
11 201213
12 201612
13 202011
14 201910
15 20249
16 20198
17 20148
18 20188
19 20246
20 20156

About Eva Lesén

Eva Lesén is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Economics and Econometrics, Epidemiology and Psychiatry and Mental health, having authored 43 papers that have together received 356 indexed citations. Recurring topics across this work include Potassium and Related Disorders (9 papers), Pharmaceutical Practices and Patient Outcomes (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Heart Failure Treatment and Management (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Lung Cancer Research Studies (5 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Family Practice (39 citations), Geriatrics and Gerontology (53 citations), Cardiology and Cardiovascular Medicine (95 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Applied Microbiology and Biotechnology (7 citations). Eva Lesén has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Karolina Andersson Sundell, Ingela Björholt, Anders Carlsten, Max Petzold, Anna K. Jönsson, Ann‐Charlotte Mårdby, Aude Houchard, Daniel Granfeldt, Jérôme Dinet and Daniel S Olsson. Their work appears in journals such as European Journal of Clinical Pharmacology, Value in Health, Pharmacoepidemiology and Drug Safety, Clinical Kidney Journal and International Psychogeriatrics.

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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