Ulf Hannelius

645 total citations
10 papers, 310 citations indexed

About

Ulf Hannelius is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ulf Hannelius has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ulf Hannelius's work include Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (3 papers) and Forensic and Genetic Research (3 papers). Ulf Hannelius is often cited by papers focused on Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (3 papers) and Forensic and Genetic Research (3 papers). Ulf Hannelius collaborates with scholars based in Sweden, Finland and United Kingdom. Ulf Hannelius's co-authors include Juha Kere, Cecilia M. Lindgren, Johnny Ludvigsson, Craig A. Beam, Marco Zucchelli, Gunnel Tybring, Tuuli Lappalainen, Ulrika von Döbeln, Elina Salmela and Päivi Lahermo and has published in prestigious journals such as Oncogene, Diabetologia and BMJ Open.

In The Last Decade

Ulf Hannelius

10 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulf Hannelius Sweden 8 143 62 54 52 42 10 310
Sophie Hackinger United Kingdom 8 153 1.1× 30 0.5× 35 0.6× 123 2.4× 13 0.3× 15 380
Delphine Bernoux France 10 110 0.8× 37 0.6× 30 0.6× 108 2.1× 79 1.9× 15 361
Alison Schwartz United States 8 75 0.5× 22 0.4× 19 0.4× 54 1.0× 89 2.1× 20 420
Yoshifumi Mizuno Japan 11 56 0.4× 38 0.6× 38 0.7× 47 0.9× 145 3.5× 39 384
M R James United States 3 70 0.5× 61 1.0× 47 0.9× 60 1.2× 15 0.4× 4 210
Moniek Zoeteweij Netherlands 11 196 1.4× 41 0.7× 32 0.6× 120 2.3× 7 0.2× 15 441
Radoslava Vazharova Bulgaria 7 103 0.7× 21 0.3× 13 0.2× 106 2.0× 21 0.5× 26 235
Agnieszka Olszewska Germany 7 211 1.5× 42 0.7× 43 0.8× 154 3.0× 12 0.3× 17 566
Jessica L. Waxler United States 11 233 1.6× 22 0.4× 31 0.6× 74 1.4× 21 0.5× 21 437
Melkaye G. Melka Canada 11 151 1.1× 15 0.2× 17 0.3× 184 3.5× 22 0.5× 13 354

Countries citing papers authored by Ulf Hannelius

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Hannelius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf Hannelius

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

All Works

10 of 10 papers shown
1.
Teixeira, Pedro Filipe, Tadej Battelino, Annelie Carlsson, et al.. (2024). Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data. Diabetologia. 67(6). 985–994. 7 indexed citations
3.
Nowak, Christoph, Ulf Hannelius, & Johnny Ludvigsson. (2022). Association between treatment effect on C‐peptide preservation and HbA1c in meta‐analysis of glutamic acid decarboxylase (GAD)‐alum immunotherapy in recent‐onset type 1 diabetes. Diabetes Obesity and Metabolism. 24(8). 1647–1655. 6 indexed citations
4.
Hannelius, Ulf, Craig A. Beam, & Johnny Ludvigsson. (2020). Efficacy of GAD-alum immunotherapy associated with HLA-DR3-DQ2 in recently diagnosed type 1 diabetes. Diabetologia. 63(10). 2177–2181. 48 indexed citations
5.
Rosin, Gustaf, Ulf Hannelius, Linda S. Lindström, et al.. (2012). aThe dyslexia candidate gene DYX1C1 is a potential marker of poor survival in breast cancer. BMC Cancer. 12(1). 79–79. 5 indexed citations
6.
Lappalainen, Tuuli, Ulf Hannelius, Elina Salmela, et al.. (2008). Population Structure in Contemporary Sweden—A Y‐Chromosomal and Mitochondrial DNA Analysis. Annals of Human Genetics. 73(1). 61–73. 40 indexed citations
7.
Hannelius, Ulf, Elina Salmela, Tuuli Lappalainen, et al.. (2008). Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs. BMC Genetics. 9(1). 54–54. 36 indexed citations
8.
Hannelius, Ulf, et al.. (2007). Large-Scale Zygosity Testing Using Single Nucleotide Polymorphisms. Twin Research and Human Genetics. 10(4). 604–625. 99 indexed citations
9.
Ollikainen, Miina, Ulf Hannelius, Cecilia M. Lindgren, et al.. (2007). Mechanisms of inactivation of MLH1 in hereditary nonpolyposis colorectal carcinoma: a novel approach. Oncogene. 26(31). 4541–4549. 40 indexed citations
10.
Pulkkinen, Ville, Ritva Haataja, Ulf Hannelius, et al.. (2006). G protein‐coupled receptor for asthma susceptibility associates with respiratory distress syndrome. Annals of Medicine. 38(5). 357–366. 22 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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