Mai‐Britt Mosbech

563 citations
8 papers · 299 · h-index 5

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Insect and Pesticide Research

Papers in

    • Insect and Arachnid Ecology and Behavior 2
    • Neurogenetic and Muscular Disorders Research 1
    • Sphingolipid Metabolism and Signaling 1
    • Muscle Physiology and Disorders 1

Mai‐Britt Mosbech

7 papers receiving 298 citations

Peers

Mai‐Britt Mosbech
Comparison fields: 5 of 64
  • Aging 29
  • Insect Science 113
  • Genetics 122
  • Ecology, Evolution, Behavior and Systematics 87
  • Endocrine and Autonomic Systems 18
Replace Arpan C. Ghosh with:
Arpan C. Ghosh United States
Max Diesner Germany
Einat Cinnamon Israel
Michihiko Shimomura Japan
Yuya Ohhara Japan
Kah Junn Tan Singapore
Tzu‐Chiao Lu United States
Ningguang Luo United States
Neha Agrawal India
Jason W. Millington Canada
Mai‐Britt Mosbech relative to Arpan C. Ghosh United States Arpan C. Ghosh's profile →
Citations per field
00.5×1.5×
Arpan C. Ghosh · 1×
Citations per year

Countries citing papers authored by Mai‐Britt Mosbech

Since Specialization
Citations

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

Fields of papers citing papers by Mai‐Britt Mosbech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai‐Britt Mosbech. 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 Mai‐Britt Mosbech. The network helps show where Mai‐Britt Mosbech may publish in the future.

Co-authors

The 25 scholars most cited alongside Mai‐Britt Mosbech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mai‐Britt Mosbech Line = papers co-authored together Mai‐Britt Mosbech links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019161
2 201358
3 201444
4 201426
5 20246
6 20083
7 20221
8 20250

About Mai‐Britt Mosbech

Mai‐Britt Mosbech is a scholar working on Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Physiology and Aging, having authored 8 papers that have together received 299 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Orthoptera Research and Taxonomy (1 paper), Diet and metabolism studies (1 paper), Circadian rhythm and melatonin (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Aging (29 citations), Insect Science (113 citations), Genetics (122 citations), Ecology, Evolution, Behavior and Systematics (87 citations) and Endocrine and Autonomic Systems (18 citations). Mai‐Britt Mosbech has collaborated with scholars based in Denmark, Sweden and United States. Frequent co-authors include Andreas Wållberg, Ignas Bunikis, Anna K. Childers, Matthew T. Webster, Alexander S. Mikheyev, Gene E. Robinson, Olga Vinnere Pettersson, Hugh M. Robertson, Jay D. Evans and Nils J. Færgeman. Their work appears in journals such as Scientific Reports, G3 Genes Genomes Genetics, Annals of Clinical and Translational Neurology, PLoS ONE and Genome Biology and Evolution.

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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