Cecilia M. Lindgren

127.6k total citations · 3 hit papers
159 papers, 8.9k citations indexed

About

Cecilia M. Lindgren is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Cecilia M. Lindgren has authored 159 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Genetics, 63 papers in Molecular Biology and 22 papers in Surgery. Recurrent topics in Cecilia M. Lindgren's work include Genetic Associations and Epidemiology (44 papers), Epigenetics and DNA Methylation (17 papers) and Pancreatic function and diabetes (14 papers). Cecilia M. Lindgren is often cited by papers focused on Genetic Associations and Epidemiology (44 papers), Epigenetics and DNA Methylation (17 papers) and Pancreatic function and diabetes (14 papers). Cecilia M. Lindgren collaborates with scholars based in United Kingdom, Sweden and United States. Cecilia M. Lindgren's co-authors include Mark I. McCarthy, Blanca Herrera, Joel N. Hirschhorn, Eric S. Lander, Juha Kere, Andrew P. Morris, David Altshuler, Mia Klannemark, Thomas J. Hudson and S. F. Schaffner and has published in prestigious journals such as Nature, Science and Circulation.

In The Last Decade

Cecilia M. Lindgren

154 papers receiving 8.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes

2000 1.3k citations Cecilia M. Lindgren et al. profile →
A brief history of human disease genetics

2020 349 citations Melina Claussnitzer, Cecilia M. Lindgren et al. profile →
Obesity and risk of female reproductive conditions: A Mendelian randomisation study

2022 119 citations Teresa Ferreira, Stefania Benónísdóttir et al. PLoS Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cecilia M. Lindgren United Kingdom	49	3.9k	3.1k	1.5k	1.3k	946	159	8.9k
Struan F.A. Grant United States	49	3.6k 0.9×	4.3k 1.4×	875 0.6×	1.4k 1.1×	614 0.6×	207	9.2k
Mariza de Andrade United States	60	4.0k 1.0×	2.9k 0.9×	885 0.6×	1.3k 1.0×	1.4k 1.5×	248	12.0k
Daniel I. Chasman United States	59	4.1k 1.1×	4.3k 1.4×	1.2k 0.8×	2.2k 1.7×	919 1.0×	185	12.5k
Chia‐Yen Chen United States	34	2.5k 0.7×	3.6k 1.2×	1.1k 0.7×	758 0.6×	869 0.9×	95	9.3k
Edwin C.M. Mariman Netherlands	51	4.4k 1.1×	2.1k 0.7×	2.0k 1.4×	1.4k 1.1×	641 0.7×	242	10.1k
Aarno Palotie Finland	63	5.7k 1.5×	4.1k 1.3×	1.2k 0.8×	1.1k 0.8×	1.6k 1.7×	334	14.9k
Andrew D. Paterson Canada	59	5.2k 1.3×	3.9k 1.3×	851 0.6×	1.1k 0.9×	505 0.5×	329	12.9k
Tom R. Gaunt United Kingdom	47	5.6k 1.4×	5.4k 1.7×	1.5k 1.0×	1.0k 0.8×	1.1k 1.1×	200	13.8k
Ian N.M. Day United Kingdom	44	2.9k 0.8×	2.4k 0.8×	764 0.5×	989 0.8×	755 0.8×	162	7.5k
Eleftheria Zeggini United Kingdom	47	2.9k 0.7×	3.8k 1.2×	598 0.4×	962 0.8×	824 0.9×	192	7.7k

Countries citing papers authored by Cecilia M. Lindgren

Since Specialization

Citations

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

Fields of papers citing papers by Cecilia M. Lindgren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cecilia M. Lindgren. 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 Cecilia M. Lindgren. The network helps show where Cecilia M. Lindgren may publish in the future.

Co-authorship network of co-authors of Cecilia M. Lindgren

This figure shows the co-authorship network connecting the top 25 collaborators of Cecilia M. Lindgren. A scholar is included among the top collaborators of Cecilia M. Lindgren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cecilia M. Lindgren. Cecilia M. Lindgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Baya, Nikolas, İlknur Sur‐Erdem, Saskia Reibe, et al.. (2025). Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. The American Journal of Human Genetics. 112(10). 2316–2337. 1 indexed citations

Meir, Karen, W. Tony Parks, Drorith Hochner‐Celnikier, et al.. (2024). Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY. Nature Communications. 15(1). 2710–2710. 11 indexed citations

Zhou, Wei, et al.. (2024). Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank. Cell Genomics. 4(7). 100602–100602. 1 indexed citations

Greenaway, Simon, et al.. (2022). Making sense of the linear genome, gene function and TADs. Epigenetics & Chromatin. 15(1). 4–4. 25 indexed citations

Ferreira, Teresa, Stefania Benónísdóttir, Nilüfer Rahmioğlu, et al.. (2022). Obesity and risk of female reproductive conditions: A Mendelian randomisation study. PLoS Medicine. 19(2). e1003679–e1003679. 119 indexed citations breakdown →

Weidlich, Dominik, et al.. (2021). A distribution-centered approach for analyzing human adipocyte size estimates and their association with obesity-related traits and mitochondrial function. International Journal of Obesity. 45(9). 2108–2117. 19 indexed citations

Peters, Tricia M., Michael V. Holmes, J. Brent Richards, et al.. (2020). Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis. Diabetes Care. 44(2). 556–562. 26 indexed citations

Drong, Alexander, Georgios Christopoulos, Tugce Karaderi, et al.. (2019). Genome-wide methylation profiling in granulosa lutein cells of women with polycystic ovary syndrome (PCOS). Molecular and Cellular Endocrinology. 500. 110611–110611. 31 indexed citations

Marklund, Matti, Andrew P. Morris, Anubha Mahajan, et al.. (2018). Genome-Wide Association Studies of Estimated Fatty Acid Desaturase Activity in Serum and Adipose Tissue in Elderly Individuals: Associations with Insulin Sensitivity. Nutrients. 10(11). 1791–1791. 23 indexed citations

10.

Rahmioğlu, Nilüfer, Alexander Drong, Helen Lockstone, et al.. (2016). Genome-wide DNA methylation and mRNA expression profiling in eutopic endometrium, disease tissue and fat: implications for endometriosis research. Human Reproduction. 31. 9–10. 1 indexed citations

11.

Hoed, Marcel den, Rona J. Strawbridge, Peter Almgren, et al.. (2015). GWAS-identified loci for coronary heart disease are associated with intima-media thickness and plaque presence at the carotid artery bulb. Atherosclerosis. 239(2). 304–310. 28 indexed citations

12.

Rantalainen, Mattias, Blanca Herrera, Geoffrey C. Nicholson, et al.. (2011). MicroRNA Expression in Abdominal and Gluteal Adipose Tissue Is Associated with mRNA Expression Levels and Partly Genetically Driven. PLoS ONE. 6(11). e27338–e27338. 32 indexed citations

13.

Bell, Christopher G., Sarah Finer, Cecilia M. Lindgren, et al.. (2010). Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus. PLoS ONE. 5(11). e14040–e14040. 185 indexed citations

14.

Fernández‐Cadenas, Israel, Inga Prokopenko, Nicholas J. Timpson, et al.. (2008). Stratified analysis of the Wellcome Trust Case Control Consortium scan for type 2 diabetes reveals susceptibility loci that may affect age of diagnosis. Diabetologia. 51. 1 indexed citations

15.

Barber, Thomas M., Amanda J. Bennett, Christopher J. Groves, et al.. (2008). Association of variants within the fat mass and obesity-associated (FTO) gene and polycystic ovary syndrome. 15. 1 indexed citations

16.

Kaakinen, Marika, Inga Prokopenko, W Rayner, et al.. (2008). Genome-wide association (GWA) analysis in 4000 members of a Finnish birth cohort identifies common variants associated with fasting insulin levels and related metabolic traits. Diabetologia. 51. 1 indexed citations

17.

Allen, Hana Lango, Michael N. Weedon, Nicholas J. Timpson, et al.. (2007). A common variant in the FTO gene region is associated with BMI in the general population and predisposes to adult and childhood obesity. Diabetologia. 50.

18.

Schumacher, Julia, Inke R. Koenig, Marco Zucchelli, et al.. (2005). Independent evidence for the VMP/DCDC2/KAAG1 gene locus on chromosomal region 6p22 as susceptibility factor for dyslexia. American Journal of Medical Genetics. 114–114. 2 indexed citations

19.

Melén, Erik, Sara Bruce, Gert Doekes, et al.. (2005). Haplotypes of G Protein–coupled Receptor 154 Are Associated with Childhood Allergy and Asthma. American Journal of Respiratory and Critical Care Medicine. 171(10). 1089–1095. 85 indexed citations

20.

Marcusson, Jan A., Cecilia M. Lindgren, Anna Berghard, & Rune Toftgård. (1992). Allogeneic cultured keratinocytes in the treatment of leg ulcers. A pilot study.. Acta Dermato Venereologica. 72(1). 61–64. 20 indexed citations

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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