Kaija Seppä

3.3k citations
104 papers · 2.5k · h-index 30

Impact in

Papers in

Kaija Seppä

98 papers receiving 2.3k citations

Peers

Kaija Seppä
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 805
  • Epidemiology 1.1k
  • Endocrinology, Diabetes and Metabolism 218
  • General Health Professions 323
  • Biochemistry 86
Replace Omer S. M. Hasan with:
Omer S. M. Hasan Canada
Richard K. Fuller United States
Hans Kristenson Sweden
Jonathan Chick United Kingdom
John B. Saunders Australia
Rosalind A. Breslow United States
Satya Mohapatra India
Kaye Middleton Fillmore United States
M Frezza Italy
Robert M. Weinrieb United States
Kaija Seppä relative to Omer S. M. Hasan Canada Omer S. M. Hasan's profile →
Citations per field
00.5×2.7×
Omer S. M. Hasan · 1×
Citations per year

Countries citing papers authored by Kaija Seppä

Since Specialization
Citations

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

Fields of papers citing papers by Kaija Seppä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009145
2 2006121
3 200390
4 200185
5 201072
6 200772
7 199569
8 200064
9 199862
10 199460
11 199859
12 200259
13 199955
14 201054
15 199353
16 200653
17 199652
18 199951
19
Transferrin isoform distribution: gender and alcohol consumption.
199750
20 199048

About Kaija Seppä

Kaija Seppä is a scholar working on Epidemiology, Pathology and Forensic Medicine, General Health Professions, Endocrinology, Diabetes and Metabolism and Surgery, having authored 104 papers that have together received 2.5k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (48 papers), Alcohol Consumption and Health Effects (41 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cannabis and Cannabinoid Research (5 papers), Alcoholism and Thiamine Deficiency (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Health Policy Implementation Science (5 papers) and Mental Health Treatment and Access (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (805 citations), Epidemiology (1.1k citations), Endocrinology, Diabetes and Metabolism (218 citations), General Health Professions (323 citations) and Biochemistry (86 citations). Kaija Seppä has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Mauri Aalto, Pekka Sillanaukee, Hannu Alho, Timo Koivula, Jukka Halme, P Sillanaukee, Rauno Mäkelä, Preben Bendtsen, Per Nilsén and Matti Saarni. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Alcohol and Alcoholism, Drug and Alcohol Review, Addiction and Drug and Alcohol Dependence.

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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