Jerzy Gąsowski

5.3k citations
136 papers · 3.3k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Jerzy Gąsowski

128 papers receiving 3.1k citations

Hit Papers

Risks of untreated and treated isolated systolic hypertension in the elderly: meta-analysis of outcome trials 2000 · 794 citations
7942000202620082017250500750

Peers

Jerzy Gąsowski
Comparison fields: 5 of 127
  • Cardiology and Cardiovascular Medicine 2.1k
  • Geriatrics and Gerontology 241
  • Endocrinology, Diabetes and Metabolism 483
  • Nutrition and Dietetics 351
  • Neurology 242
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Citations per field
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Citations per year

Countries citing papers authored by Jerzy Gąsowski

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Gąsowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20240
4 20238
5 20236
6 20231
7 20222
8 20211
9 20201
10 20197
11 201916
12 201510
13 201252
14 200815
15 20061
16 20059
17
Edukacja pacjentów – integralna część postępowania w nadciśnieniu tętniczym
20040
18
Use of dihydropyridines for antihypertensive treatment in older patients: evidence from the Systolic Hypertension in Europe trial
20002
19
Outcome trials in older patients with isolated systolic hypertension
20000
20 200052

About Jerzy Gąsowski

Jerzy Gąsowski is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine, Rheumatology, Endocrinology, Diabetes and Metabolism and Neurology, having authored 136 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (45 papers), Cardiovascular Health and Disease Prevention (32 papers), Frailty in Older Adults (17 papers), Nutrition and Health in Aging (16 papers), Hormonal Regulation and Hypertension (14 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Nutritional Studies and Diet (11 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Geriatrics and Gerontology (241 citations), Endocrinology, Diabetes and Metabolism (483 citations), Nutrition and Dietetics (351 citations) and Neurology (242 citations). Jerzy Gąsowski has collaborated with scholars based in Poland, Belgium and United Kingdom. Frequent co-authors include Jan A. Staessen, Robert Fagard, Lutgarde Thijs, Tomasz Grodzicki, Ji G. Wang, Karolina Piotrowicz, Stuart Pocock, Jean‐Pierre Boissel, François Gueyffier and Elly Den Hond. Their work appears in journals such as Journal of Human Hypertension, Blood Pressure, American Journal of Hypertension, Aging Clinical and Experimental Research and World Neurosurgery.

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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