Kim Sweers

2.9k citations
25 papers · 2.2k indexed · 1 hit paper · h-index 20

Kim Sweers

25 papers receiving 2.2k citations

Hit Papers

Prevalence of Metabolic Syndrome and Metabolic Abnormalit...7772011202620162021250500750

Peers

Kim Sweers
Comparison fields: 5 of 109
  • Psychiatry and Mental health 1.4k
  • Biological Psychiatry 199
  • Endocrinology, Diabetes and Metabolism 469
  • Physiology 640
  • Gastroenterology 125
Replace J. Peuskens with:
J. Peuskens Belgium
Norio Sugawara Japan
Weiping Yu Netherlands
Fernando Rico‐Villademoros Spain
Amber De Herdt Belgium
Giorgio Pigato Italy
Nadja P. Marić Serbia
Tony Cohn Canada
Beatrice Bortolato Brazil
Britta Galling United States
Kim Sweers relative to J. Peuskens Belgium J. Peuskens's profile →
Citations per field
00.5×1.5×2.1×
J. Peuskens · 1×
Citations per year

Countries citing papers authored by Kim Sweers

Since Specialization
Citations

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

Fields of papers citing papers by Kim Sweers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201610
2 201667
3 201516
4 201535
5 201323
6 2012119
7 2012128
8 201183
9 201152
10 2011153
11 201120
12 201191
13
Prevalence of Metabolic Syndrome and Metabolic Abnormalities in Schizophrenia and Related Disorders—A Systematic Review and Meta-Analysisbreakdown →
2011777
14 201110
15 201127
16 2010106
17 201060
18 20101
19 201055
20 2008198

About Kim Sweers

Kim Sweers is a scholar working on Psychiatry and Mental health, Physical Therapy, Sports Therapy and Rehabilitation and Gastroenterology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (18 papers), Physical Activity and Health (6 papers), Balance, Gait, and Falls Prevention (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Mental Health and Psychiatry (3 papers), Gastrointestinal motility and disorders (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (1.4k citations), Biological Psychiatry (199 citations) and Endocrinology, Diabetes and Metabolism (469 citations). Kim Sweers has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Marc D. Binder, Davy Vancampfort, Ruud van Winkel, Alex J. Mitchell, Weiping Yu, Michel Probst, Jan Knapen, Katrien Maurissen, Martien Wampers and Christoph U. Correll.

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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