World's Best Scientists 2026 revealed!
Tiinamaija Tuomi

Tiinamaija Tuomi

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Best Female Scientists
2025

D-Index & Metrics

Best Female Scientists

D-Index
116
Citations
80657
World Ranking
661
National Ranking
9

Medicine

D-Index
119
Citations
83280
World Ranking
3806
National Ranking
44

Research.com Recognitions

  • 2025 - Research.com Best Female Scientists Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Diabetes mellitus
  • Gene

The scientist’s investigation covers issues in Internal medicine, Endocrinology, Type 2 diabetes, Diabetes mellitus and Genetics. Insulin and Risk factor are the core of his Internal medicine study. His studies in Endocrinology integrate themes in fields like Glutamate decarboxylase, Melatonin receptor 1B and Candidate gene.

His research in Type 2 diabetes intersects with topics in Odds ratio, CDKAL1, TCF7L2, Insulin resistance and SLC30A8. The concepts of his Diabetes mellitus study are interwoven with issues in Disease and Triglyceride. His study looks at the relationship between Genetics and topics such as Glucose homeostasis, which overlap with Insulin processing, Proinsulin and Quantitative trait locus.

His most cited work include:

  • Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome (4071 citations)
  • Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels (2462 citations)
  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)

What are the main themes of his work throughout his whole career to date?

Tiinamaija Tuomi mainly focuses on Internal medicine, Type 2 diabetes, Endocrinology, Diabetes mellitus and Genetics. His work in Internal medicine addresses issues such as Type 1 diabetes, which are connected to fields such as Human leukocyte antigen. His Type 2 diabetes study also includes

  • TCF7L2 that connect with fields like CDKAL1,
  • Body mass index that intertwine with fields like Obesity.

His study in Endocrinology is interdisciplinary in nature, drawing from both Glutamate decarboxylase and Prospective cohort study. His Diabetes mellitus study integrates concerns from other disciplines, such as Gastroenterology and Family history. His Genome-wide association study research is multidisciplinary, incorporating elements of Bioinformatics, Allele, Locus, Glucose homeostasis and Genetic architecture.

He most often published in these fields:

  • Internal medicine (72.75%)
  • Type 2 diabetes (58.26%)
  • Endocrinology (56.23%)

What were the highlights of his more recent work (between 2017-2021)?

  • Type 2 diabetes (58.26%)
  • Internal medicine (72.75%)
  • Diabetes mellitus (53.62%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Type 2 diabetes, Internal medicine, Diabetes mellitus, Endocrinology and Genome-wide association study. His study on Type 2 diabetes also encompasses disciplines like

  • Body mass index which is related to area like Risk factor,
  • Logistic regression which is related to area like Proportional hazards model and Continuous glucose monitoring. His Internal medicine research is multidisciplinary, relying on both Gastroenterology and SLC30A8.

His Diabetes mellitus study combines topics in areas such as TCF7L2, Case-control study, Genetic predisposition and Cohort. His work focuses on many connections between Endocrinology and other disciplines, such as Prospective cohort study, that overlap with his field of interest in Predictive value of tests. His Genome-wide association study research is included under the broader classification of Genetics.

Between 2017 and 2021, his most popular works were:

  • Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables (585 citations)
  • Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables (585 citations)
  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)

Best Publications

  • Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome

    Bo Isomaa;Peter Almgren;Tiinamaija Tuomi;Björn Forsén

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

    Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

    Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena

  • The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes.

    David Altshuler;Joel N. Hirschhorn;Joel N. Hirschhorn;Joel N. Hirschhorn;Mia Klannemark;Cecilia M. Lindgren;Cecilia M. Lindgren

  • Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

    E Zeggini;L J Scott;R Saxena;B F Voight

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

    J Dupuis;C Langenberg;I Prokopenko;R Saxena

  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li

  • Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables

    Emma Ahlqvist;Petter Storm;Annemari Käräjämäki;Mats Martinell

  • A genome-wide association search for type 2 diabetes genes in African Americans.

    N D Palmer;C W McDonough;P J Hicks;B H Roh

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Clinical risk factors, DNA variants, and the development of type 2 diabetes.

    Valeriya Lyssenko;Anna Jonsson;Peter Almgren;Nicoló Pulizzi

  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler

  • Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes

    Valeriya Lyssenko;Roberto Lupi;Piero Marchetti;Silvia Del Guerra

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))

    Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Jason Flannick;Tanya M. Teslovich;Anubha Mahajan

Frequent Co-Authors

Leif Groop
Leif Groop Lund University
Valeriya Lyssenko
Valeriya Lyssenko University of Bergen
David Altshuler
David Altshuler Harvard University
Jose C. Florez
Jose C. Florez Harvard University
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford
Philippe Froguel
Philippe Froguel Imperial College London
Torben Hansen
Torben Hansen University of Copenhagen
Oluf Pedersen
Oluf Pedersen University of Copenhagen
Jaakko Tuomilehto
Jaakko Tuomilehto University of Helsinki

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