Anúska Mann

1.1k total citations · 1 hit paper
6 papers, 709 citations indexed

About

Anúska Mann is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Anúska Mann has authored 6 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Physiology. Recurrent topics in Anúska Mann's work include Cholesterol and Lipid Metabolism (2 papers), Diet and metabolism studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Anúska Mann is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Diet and metabolism studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Anúska Mann collaborates with scholars based in United Kingdom, Netherlands and Italy. Anúska Mann's co-authors include Alfred E. Thumser, Debra J. Skene, Joo Ern Ang, Florence I. Raynaud, Victoria L. Revell, Manfred Kayser, F Robertson, Benita Middleton, Nanyi Cui and Katrin Ackermann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, British Journal of Haematology and PROTEOMICS.

In The Last Decade

Anúska Mann

6 papers receiving 693 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.

Effect of sleep deprivation on the human metabolome

2014 387 citations Joo Ern Ang, Victoria L. Revell et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anúska Mann United Kingdom	5	221	211	211	159	133	6	709
Fernando Brivio Italy	17	91 0.4×	106 0.5×	212 1.0×	60 0.4×	96 0.7×	34	702
R.-D. Hesch Germany	21	129 0.6×	234 1.1×	203 1.0×	44 0.3×	57 0.4×	58	1.3k
Güler Öztürk Türkiye	14	130 0.6×	79 0.4×	190 0.9×	40 0.3×	25 0.2×	26	617
Yusuke Sagara Japan	20	154 0.7×	231 1.1×	320 1.5×	22 0.1×	36 0.3×	58	1.1k
Giovanni Severino Italy	20	90 0.4×	204 1.0×	76 0.4×	37 0.2×	65 0.5×	52	1.0k
Bingyuan Ji China	16	64 0.3×	288 1.4×	121 0.6×	139 0.9×	151 1.1×	25	866
Ikuo Nomura Japan	16	119 0.5×	136 0.6×	70 0.3×	107 0.7×	107 0.8×	41	754
Matúš Soták Czechia	16	317 1.4×	184 0.9×	383 1.8×	31 0.2×	23 0.2×	28	797
Toshiko Tanaka United States	7	107 0.5×	216 1.0×	33 0.2×	45 0.3×	83 0.6×	12	955
Marie‐Christine Mormont France	13	544 2.5×	135 0.6×	1.0k 4.8×	466 2.9×	152 1.1×	19	1.7k

Countries citing papers authored by Anúska Mann

Since Specialization

Citations

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

Fields of papers citing papers by Anúska Mann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anúska Mann

This figure shows the co-authorship network connecting the top 25 collaborators of Anúska Mann. A scholar is included among the top collaborators of Anúska Mann 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 Anúska Mann. Anúska Mann 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:

6 of 6 papers shown

1.

Ang, Joo Ern, Victoria L. Revell, Anúska Mann, et al.. (2014). Effect of sleep deprivation on the human metabolome. Proceedings of the National Academy of Sciences. 111(29). 10761–10766. 387 indexed citations breakdown →

2.

Ang, Joo Ern, Victoria L. Revell, Anúska Mann, et al.. (2012). Identification of Human Plasma Metabolites Exhibiting Time-of-Day Variation Using an Untargeted Liquid Chromatography–Mass Spectrometry Metabolomic Approach. Chronobiology International. 29(7). 868–881. 116 indexed citations

3.

Mills, Kevin, Philippa B. Mills, Marie Jackson, et al.. (2006). Diagnosis of congenital disorders of glycosylation type‐I using protein chip technology. PROTEOMICS. 6(7). 2295–2304. 25 indexed citations

4.

Rees, David C., Achille Iolascon, Massimo Carella, et al.. (2005). Stomatocytic haemolysis and macrothrombocytopenia (Mediterranean stomatocytosis/macrothrombocytopenia) is the haematological presentation of phytosterolaemia. British Journal of Haematology. 130(2). 297–309. 101 indexed citations

5.

Clayton, Peter T., Aad Verrips, Erik A. Sistermans, et al.. (2002). Mutations in the sterol 27‐hydoxylase gene (CYP27A) cause hepatitis of infancy as well as cerebrotendinous xanthomatosis. Journal of Inherited Metabolic Disease. 25(6). 501–513. 76 indexed citations

6.

Hinton, Richard H., Shirley C. Price, Fiona E. Mitchell, et al.. (1985). Plasma Protein Changes in Rats Treated with Hypolipidaemic Drugs and with Phthalate Esters. Human Toxicology. 4(3). 261–271. 4 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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