Solja T. Nyberg

11.1k citations
34 papers · 1.7k indexed · 2 hit papers · h-index 18

Solja T. Nyberg

32 papers receiving 1.6k citations

Hit Papers

Body-mass index and risk of obesity-related complex multi...3002020202620222024100200300400

Peers

Solja T. Nyberg
Comparison fields: 5 of 137
  • Health 288
  • Applied Microbiology and Biotechnology 38
  • Applied Psychology 94
  • Biological Psychiatry 37
  • Neuropsychology and Physiological Psychology 22
Replace Chitr Sitthi‐Amorn with:
Chitr Sitthi‐Amorn Thailand
Leah Li United Kingdom
Josélia Oliveira Araújo Firmo Brazil
Lorena García United States
Maria Cecília Formoso Assunção Brazil
Jacopo Demurtas Italy
Ha Nguyen United States
Anna Chisholm United Kingdom
Carmen Wong Hong Kong
Xiaoxin Dong China
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Citations per field
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Citations per year

Countries citing papers authored by Solja T. Nyberg

Since Specialization
Citations

This map shows the geographic impact of Solja T. Nyberg'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 Solja T. Nyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solja T. Nyberg more than expected).

Fields of papers citing papers by Solja T. Nyberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Solja T. Nyberg. 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 Solja T. Nyberg. The network helps show where Solja T. Nyberg may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 202418
3 20235
4 202322
5 20236
6 202338
7 20231
8
Body-mass index and risk of obesity-related complex multimorbidity:an observational multicohort studybreakdown →
2022300
9 202211
10 202145
11 202117
12 202123
13
Association between socioeconomic status and the development of mental and physical health conditions in adulthood: a multi-cohort studybreakdown →
2020467
14 20208
15 201941
16
Long working hours and risk of incident coronary heart disease: a meta-analysis of published and unpublished data
20151
17 201543
18 201377
19 2013181
20 201119

About Solja T. Nyberg

Solja T. Nyberg is a scholar working on Aging, Applied Microbiology and Biotechnology and General Health Professions, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Workplace Health and Well-being (11 papers), Employment and Welfare Studies (9 papers), Health disparities and outcomes (4 papers), Chronic Disease Management Strategies (3 papers), Dementia and Cognitive Impairment Research (3 papers), Health, psychology, and well-being (3 papers), Sleep and Work-Related Fatigue (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Health (288 citations), Applied Microbiology and Biotechnology (38 citations) and Applied Psychology (94 citations). Solja T. Nyberg has collaborated with scholars based in Finland, United Kingdom and Sweden. Frequent co-authors include Mika Kivimäki, G. David Batty, Jaana Pentti, Jussi Vahtera, Joni V. Lindbohm, Pyry N. Sipilä, Markus Jokela, Archana Singh‐Manoux, Sakari Suominen and Marianna Virtanen. Their work appears in journals such as Circulation, Nature Medicine and Scientific Reports.

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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