Anders Gummesson

9.3k total citations · 3 hit papers
55 papers, 2.1k citations indexed

About

Anders Gummesson is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Anders Gummesson has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Physiology and 18 papers in Epidemiology. Recurrent topics in Anders Gummesson's work include Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Diet and metabolism studies (9 papers). Anders Gummesson is often cited by papers focused on Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Diet and metabolism studies (9 papers). Anders Gummesson collaborates with scholars based in Sweden, Denmark and United States. Anders Gummesson's co-authors include Fredrik Bäckhed, Göran Bergström, Lena Carlsson, Lisa Olsson, Valentina Tremaroli, Mathias Uhlén, Manuela Krämer, Björn Carlsson, Margareta Jernås and Rosie Perkins and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Anders Gummesson

49 papers receiving 2.1k citations

Hit Papers

align trajectories

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 Gut Microbiota in Prediabetes and Diabetes: A Population-Based Cross-Sectional Study

2020 337 citations Hao Wu, Valentina Tremaroli et al. Cell Metabolism profile →
Developmental trajectory of the healthy human gut microbiota during the first 5 years of life

2021 275 citations Josefine Roswall, Lisa Olsson et al. Cell Host & Microbe profile →
Dynamics of the normal gut microbiota: A longitudinal one-year population study in Sweden

2022 106 citations Lisa Olsson, Staffan Nilsson et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anders Gummesson Sweden	22	1.1k	782	476	284	268	55	2.1k
Gemma Xifra Spain	19	1.5k 1.4×	867 1.1×	330 0.7×	282 1.0×	325 1.2×	31	2.4k
Victòria Ceperuelo‐Mallafré Spain	27	1.1k 1.0×	782 1.0×	505 1.1×	328 1.2×	316 1.2×	46	2.3k
Anna V. Mathew United States	23	1.3k 1.2×	776 1.0×	390 0.8×	267 0.9×	341 1.3×	51	2.6k
Connie W. Woo Hong Kong	23	1.1k 1.0×	474 0.6×	604 1.3×	353 1.2×	122 0.5×	33	2.4k
Mònica Sabater Spain	25	1.4k 1.3×	998 1.3×	657 1.4×	241 0.8×	196 0.7×	44	2.7k
Eduardo Esteve Spain	16	1.6k 1.5×	989 1.3×	586 1.2×	427 1.5×	462 1.7×	28	3.0k
Bon Jeong Ku South Korea	24	1.0k 0.9×	535 0.7×	606 1.3×	283 1.0×	506 1.9×	108	2.6k
Rodrig Marculescu Austria	31	1.0k 1.0×	311 0.4×	537 1.1×	328 1.2×	231 0.9×	157	3.2k
Gerasimos Socrates Christodoulatos Greece	23	662 0.6×	510 0.7×	477 1.0×	155 0.5×	184 0.7×	43	1.7k
Junichiro Irie Japan	23	854 0.8×	712 0.9×	372 0.8×	418 1.5×	577 2.2×	80	2.2k

Countries citing papers authored by Anders Gummesson

Since Specialization

Citations

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

Fields of papers citing papers by Anders Gummesson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Gummesson

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Gummesson. A scholar is included among the top collaborators of Anders Gummesson 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 Anders Gummesson. Anders Gummesson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Björnson, Elias, et al.. (2026). Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease. European Heart Journal.

Ljungman, Charlotta, et al.. (2025). EMD missense variant causes X-linked isolated dilated cardiomyopathy with myocardial emerin deficiency. European Journal of Human Genetics. 33(6). 775–783.

Björnson, Elias, Chris J. Packard, Martin Adiels, et al.. (2025). Genetic modelling of triglyceride-rich lipoprotein/remnant lowering mimics APOC3 silencing and predicts clinically relevant coronary heart disease event reductions. European Journal of Preventive Cardiology. 2 indexed citations

Björnson, Elias, et al.. (2024). Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease. European Journal of Preventive Cardiology. 31(14). 1681–1689. 13 indexed citations

Björnson, Elias, et al.. (2024). The impact of steatotic liver disease on coronary artery disease through changes in the plasma lipidome. Scientific Reports. 14(1). 22307–22307. 1 indexed citations

Schmidt, Caroline, Anders Gummesson, Fredrik Bäckhed, Göran Bergström, & Mia Söderberg. (2023). Psychosocial work conditions and prediabetes risks: a cross-sectional study in middle-aged men and women. Scientific Reports. 13(1). 1198–1198. 2 indexed citations

Rosqvist, Fredrik, Johan Vessby, Paul Hockings, et al.. (2022). Fatty acids in multiple circulating lipid fractions reflects the composition of liver triglycerides in humans. Clinical Nutrition. 41(4). 805–809. 6 indexed citations

Rosqvist, Fredrik, Håkan Åhlström, Heiko G. Niessen, et al.. (2022). Hepatic Unsaturated Fatty Acids Are Linked to Lower Degree of Fibrosis in Non-alcoholic Fatty Liver Disease. Frontiers in Medicine. 8. 814951–814951. 17 indexed citations

Zhong, Wen, Fredrik Edfors, Anders Gummesson, et al.. (2021). Next generation plasma proteome profiling to monitor health and disease. Nature Communications. 12(1). 2493–2493. 75 indexed citations

10.

Roswall, Josefine, Lisa Olsson, Petia Kovatcheva‐Datchary, et al.. (2021). Developmental trajectory of the healthy human gut microbiota during the first 5 years of life. Cell Host & Microbe. 29(5). 765–776.e3. 275 indexed citations breakdown →

11.

Hockings, Paul, Edvin Johansson, Johan Vessby, et al.. (2020). BIVARIATE MR IMAGING BIOMARKER TO IMPROVE PREDICTION OF ADVANCED FIBROSIS IN SUBJECTS WITH BIOPSY PROVEN NAFLD. Chalmers Research (Chalmers University of Technology). 1 indexed citations

12.

Dodig‐Crnković, Tea, Mun‐Gwan Hong, Cecilia Engel Thomas, et al.. (2020). Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling. EBioMedicine. 57. 102854–102854. 18 indexed citations

13.

Gummesson, Anders, Elias Björnson, Linn Fagerberg, et al.. (2020). Longitudinal plasma protein profiling of newly diagnosed type 2 diabetes. EBioMedicine. 63. 103147–103147. 18 indexed citations

14.

Wu, Hao, Valentina Tremaroli, Caroline Schmidt, et al.. (2020). The Gut Microbiota in Prediabetes and Diabetes: A Population-Based Cross-Sectional Study. Cell Metabolism. 32(3). 379–390.e3. 337 indexed citations breakdown →

15.

Lakshmikanth, Tadepally, Axel Olin, Jaromír Mikeš, et al.. (2020). Human Immune System Variation during 1 Year. Cell Reports. 32(3). 107923–107923. 28 indexed citations

16.

Gummesson, Anders, Ulf Strömberg, Caroline Schmidt, et al.. (2018). Non-alcoholic fatty liver disease is a strong predictor of coronary artery calcification in metabolically healthy subjects: A cross-sectional, population-based study in middle-aged subjects. PLoS ONE. 13(8). e0202666–e0202666. 27 indexed citations

17.

Gummesson, Anders, Haiyan Li, Michael Gillen, et al.. (2014). Bioequivalence of Saxagliptin/Metformin Extended-Release (XR) Fixed-Dose Combination Tablets and Single-Component Saxagliptin and Metformin XR Tablets in Healthy Adult Chinese Subjects. Clinical Drug Investigation. 34(11). 763–772. 4 indexed citations

18.

Gummesson, Anders, Lena Carlsson, L. H. Storlien, et al.. (2011). Intestinal Permeability Is Associated With Visceral Adiposity in Healthy Women. Obesity. 19(11). 2280–2282. 127 indexed citations

19.

Behre, Carl Johan, Anders Gummesson, Margareta Jernås, et al.. (2007). Dissociation between adipose tissue expression and serum levels of adiponectin during and after diet-induced weight loss in obese subjects with and without the metabolic syndrome. Metabolism. 56(8). 1022–1028. 45 indexed citations

20.

Sjöholm, Kajsa, Jenny Palming, Louise E. Olofsson, et al.. (2005). A Microarray Search for Genes Predominantly Expressed in Human Omental Adipocytes: Adipose Tissue as a Major Production Site of Serum Amyloid A. The Journal of Clinical Endocrinology & Metabolism. 90(4). 2233–2239. 132 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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