Trude M. Haug

53 total papers · 1.3k total citations
45 papers, 996 citations indexed

About

Trude M. Haug is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Trude M. Haug has authored 45 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Physiology and 12 papers in Genetics. Recurrent topics in Trude M. Haug's work include Reproductive biology and impacts on aquatic species (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Ion channel regulation and function (8 papers). Trude M. Haug is often cited by papers focused on Reproductive biology and impacts on aquatic species (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Ion channel regulation and function (8 papers). Trude M. Haug collaborates with scholars based in Norway, United States and Japan. Trude M. Haug's co-authors include Finn‐Arne Weltzien, Johan F. Storm, Olav Sand, Kjetil Hodne, Frances M. Ashcroft, Stephen J. Tucker, Fiona M. Gribble, Tor Lea, Charlotte R. Kleiveland and Jon Hildahl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Trude M. Haug

44 papers receiving 980 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Trude M. Haug 423 225 220 166 115 45 996
Mulan He 256 0.6× 171 0.8× 303 1.4× 70 0.4× 54 0.5× 47 938
Alessandra Santillo 453 1.1× 187 0.8× 77 0.3× 161 1.0× 54 0.5× 67 1.2k
Bruno Varriale 209 0.5× 162 0.7× 246 1.1× 283 1.7× 32 0.3× 55 995
Dante A. Paz 149 0.4× 175 0.8× 160 0.7× 142 0.9× 12 0.1× 54 909
Barbara Ruggeri 233 0.6× 225 1.0× 113 0.5× 142 0.9× 27 0.2× 25 984
Jorge Parodí 436 1.0× 307 1.4× 107 0.5× 150 0.9× 21 0.2× 51 1.1k
You Lee Son 247 0.6× 164 0.7× 115 0.5× 288 1.7× 29 0.3× 29 1.1k
Albamaria Parmeggiani 326 0.8× 24 0.1× 150 0.7× 130 0.8× 42 0.4× 49 1.1k
Wenshu Luo 263 0.6× 239 1.1× 242 1.1× 215 1.3× 15 0.1× 57 914
Jin Soo Han 411 1.0× 103 0.5× 26 0.1× 94 0.6× 56 0.5× 68 1.2k

Countries citing papers authored by Trude M. Haug

Since Specialization
Citations

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

Fields of papers citing papers by Trude M. Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trude M. Haug

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

All Works

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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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