Sami Koskelainen

7.4k citations
25 papers · 3.9k · 4 hit papers · h-index 14

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Genetic Associations and Epidemiology 4
    • BRCA gene mutations in cancer 3
    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 2

Sami Koskelainen

25 papers receiving 3.9k citations

Sami Koskelainen's Hit Papers

Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy 2023 · 80 citations
800+1+3Years since publication50010001.5k2.0k

Peers

Sami Koskelainen
Comparison fields: 5 of 123
  • Genetics 850
  • Infectious Diseases 526
  • Immunology 407
  • Obstetrics and Gynecology 133
  • Biological Psychiatry 29
Replace Kumar Veerapen with:
Kumar Veerapen United States
Sanni Ruotsalainen Finland
Triin Laisk Estonia
Yosuke Tanigawa United States
Lætitia Laurent Canada
Martin Gögele Italy
Ke Hao United States
Robert Warmerdam Netherlands
Willem A. Dik Netherlands
Andrew D. Bretherick United Kingdom
Sami Koskelainen relative to Kumar Veerapen United States Kumar Veerapen's profile →
Citations per field
00.5×1.5×
Kumar Veerapen · 1×
Citations per year

Countries citing papers authored by Sami Koskelainen

Since Specialization
Citations

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

Fields of papers citing papers by Sami Koskelainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FinnGen provides genetic insights from a well-phenotyped isolated population
Hit paper breakdown →
20232455
2
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
3
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
4 2021134
5 2022107
6
Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy
Hit paper breakdown →
202380
7 202356
8 202339
9 202132
10 202230
11 202419
12 202316
13 202315
14 202315
15 202213
16 202313
17 20239
18 20246
19 20245
20 20245

About Sami Koskelainen

Sami Koskelainen is a scholar working on Genetics, Infectious Diseases, Immunology, Experimental and Cognitive Psychology and Obstetrics and Gynecology, having authored 25 papers that have together received 3.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Genetic Associations and Epidemiology (4 papers), interferon and immune responses (3 papers), Sleep and related disorders (3 papers), BRCA gene mutations in cancer (3 papers), COVID-19 Clinical Research Studies (2 papers), Chronic Disease Management Strategies (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Genetics (850 citations), Infectious Diseases (526 citations), Immunology (407 citations), Obstetrics and Gynecology (133 citations) and Biological Psychiatry (29 citations). Sami Koskelainen has collaborated with scholars based in Finland, United States and United Kingdom. Their work appears in journals such as Nature, Nature Communications, Communications Biology, Scientific Reports and Journal of Clinical Oncology.

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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