Jan Stålhammar

746 citations
36 papers · 580 indexed · h-index 16

Impact in

Papers in

Jan Stålhammar

35 papers receiving 574 citations

Peers

Jan Stålhammar
Comparison fields: 5 of 77
  • Family Practice 45
  • Endocrinology, Diabetes and Metabolism 251
  • Cardiology and Cardiovascular Medicine 184
  • Geriatrics and Gerontology 23
  • Epidemiology 93
Replace Jaejin An with:
Jaejin An United States
Manuj Sharma United Kingdom
Sundas Javad Saudi Arabia
Samantha Alvarez‐Madrazo United Kingdom
Hakima Hannachi United States
Klas Bergenheim Sweden
Virginia Ford United States
Lee Ying Yeoh Singapore
John K. Cuddeback United States
A. Groth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jan Stålhammar

Since Specialization
Citations

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

Fields of papers citing papers by Jan Stålhammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20223
3 202121
4 20202
5 201933
6 20181
7 20184
8 20178
9 201625
10 201610
11 201413
12 20148
13 201318
14 201237
15 20109
16 201038
17 200948
18 200845
19 200851
20 200517

About Jan Stålhammar

Jan Stålhammar is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Geriatrics and Gerontology, having authored 36 papers that have together received 580 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (10 papers), Heart Failure Treatment and Management (10 papers), Diabetes Management and Research (9 papers), Diabetes Treatment and Management (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Diabetes Management and Education (6 papers), Medication Adherence and Compliance (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Family Practice (45 citations), Endocrinology, Diabetes and Metabolism (251 citations), Cardiology and Cardiovascular Medicine (184 citations), Geriatrics and Gerontology (23 citations) and Epidemiology (93 citations). Jan Stålhammar has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Mats Martinell, Peter Lindgren, Anna Ringborg, Dag Isacson, Dangyue Yin, Johan Hallqvist, Johan Bodegård, David Russell, Gerhard Wikström and Sverre E. Kjeldsen. Their work appears in journals such as Journal of Human Hypertension, Primary care diabetes, Upsala Journal of Medical Sciences, ESC Heart Failure and Journal of Medical Economics.

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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