Daniel F. Freitag

3.8k total citations · 1 hit paper
6 papers, 915 citations indexed

About

Daniel F. Freitag is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel F. Freitag has authored 6 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel F. Freitag's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and IL-33, ST2, and ILC Pathways (1 paper). Daniel F. Freitag is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and IL-33, ST2, and ILC Pathways (1 paper). Daniel F. Freitag collaborates with scholars based in United Kingdom, United States and Austria. Daniel F. Freitag's co-authors include John Danesh, Emanuele Di Angelantonio, Stephen Kaptoge, Adam S. Butterworth, Sreenivasa Rao Kondapally Seshasai, Pei Gao, Anders Borglykke, A. Rumley, G.D.O. Lowe and Vilmundur Guðnason and has published in prestigious journals such as European Heart Journal, Human Molecular Genetics and PLoS Genetics.

In The Last Decade

Daniel F. Freitag

6 papers receiving 901 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.

Inflammatory cytokines and risk of coronary heart disease: new prospective study and updated meta-analysis

2013 504 citations Stephen Kaptoge, Sreenivasa Rao Kondapally Seshasai et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel F. Freitag United Kingdom	5	301	215	214	197	147	6	915
Valeria Maddaloni Italy	14	161 0.5×	280 1.3×	293 1.4×	216 1.1×	108 0.7×	23	893
Amy E. Riek United States	15	257 0.9×	194 0.9×	121 0.6×	309 1.6×	163 1.1×	19	1.5k
Dolores B. Njoku United States	19	333 1.1×	208 1.0×	330 1.5×	210 1.1×	140 1.0×	51	1.5k
Marcelo Farías Chile	23	162 0.5×	176 0.8×	119 0.6×	165 0.8×	139 0.9×	70	1.3k
Francisco Veríssimo Veronese Brazil	23	254 0.8×	187 0.9×	112 0.5×	115 0.6×	86 0.6×	55	1.2k
L A Luong United Kingdom	7	248 0.8×	134 0.6×	270 1.3×	265 1.3×	83 0.6×	7	895
Antoine Caillon Canada	14	212 0.7×	153 0.7×	226 1.1×	80 0.4×	129 0.9×	24	867
Ivana Pariggiano Italy	9	144 0.5×	146 0.7×	206 1.0×	128 0.6×	66 0.4×	15	759
Mario Crisci Italy	9	140 0.5×	147 0.7×	221 1.0×	128 0.6×	63 0.4×	15	753
Mariann I. Lassenius Finland	14	120 0.4×	282 1.3×	109 0.5×	157 0.8×	253 1.7×	40	870

Countries citing papers authored by Daniel F. Freitag

Since Specialization

Citations

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

Fields of papers citing papers by Daniel F. Freitag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Freitag. 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 Daniel F. Freitag. The network helps show where Daniel F. Freitag may publish in the future.

Co-authorship network of co-authors of Daniel F. Freitag

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

All Works

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6 of 6 papers shown

1.

Freitag, Daniel F.. (2021). Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. UNC Libraries. 1 indexed citations

2.

Alasoo, Kaur, Julia Rodrigues, John Danesh, et al.. (2019). Genetic effects on promoter usage are highly context-specific and contribute to complex traits. eLife. 8. 36 indexed citations

3.

Farahi, Neda, Ellie Paige, Ricardo C. Ferreira, et al.. (2017). Neutrophil-mediated IL-6 receptor trans-signaling and the risk of chronic obstructive pulmonary disease and asthma. Human Molecular Genetics. 26(8). 1584–1596. 39 indexed citations

4.

Willeit, Peter, Daniel F. Freitag, Jari A. Laukkanen, et al.. (2015). Asymmetric Dimethylarginine and Cardiovascular Risk: Systematic Review and Meta‐Analysis of 22 Prospective Studies. Journal of the American Heart Association. 4(6). e001833–e001833. 128 indexed citations

5.

Ferreira, Ricardo C., Daniel F. Freitag, Antony J. Cutler, et al.. (2013). Functional IL6R 358Ala Allele Impairs Classical IL-6 Receptor Signaling and Influences Risk of Diverse Inflammatory Diseases. PLoS Genetics. 9(4). e1003444–e1003444. 207 indexed citations

6.

Kaptoge, Stephen, Sreenivasa Rao Kondapally Seshasai, Pei Gao, et al.. (2013). Inflammatory cytokines and risk of coronary heart disease: new prospective study and updated meta-analysis. European Heart Journal. 35(9). 578–589. 504 indexed citations breakdown →

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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