M. Brænd

971 citations
60 papers · 779 · h-index 17

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Hemoglobinopathies and Related Disorders
    • Genetic diversity and population structure
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 16
    • Genetic and phenotypic traits in livestock 11
    • Iron Metabolism and Disorders 10

M. Brænd

56 papers receiving 655 citations

Peers

M. Brænd
Comparison fields: 5 of 84
  • Genetics 183
  • Hematology 172
  • Equine 15
  • Genetics 241
  • Agronomy and Crop Science 74
Replace Lorna Wilkinson‐White with:
Lorna Wilkinson‐White Australia
Cecelia D. Trainor United States
Y Takagaki United States
Craig H. Duncan United States
Dario Grossberger United States
S Palmieri United States
Peter M. Dierks United States
Kristen H. Taylor United States
R. Waßmuth Germany
S Natsuume-Sakai Japan
M. Brænd relative to Lorna Wilkinson‐White Australia Lorna Wilkinson‐White's profile →
Citations per field
00.5×4.1×
Lorna Wilkinson‐White · 1×
Citations per year

Countries citing papers authored by M. Brænd

Since Specialization
Citations

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

Fields of papers citing papers by M. Brænd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Brænd, 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 M. Brænd Line = papers co-authored together M. Brænd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196595
2 197073
3 197041
4 197537
5 198435
6 196330
7 196529
8 196727
9 196527
10 196423
11 198722
12 196521
13 196419
14 197118
15 196518
16 198317
17 196717
18 196815
19 198814
20 196513

About M. Brænd

M. Brænd is a scholar working on Genetics, Genetics, Hematology, Molecular Biology and Cell Biology, having authored 60 papers that have together received 779 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (16 papers), Genetic and phenotypic traits in livestock (11 papers), Iron Metabolism and Disorders (10 papers), Hemoglobin structure and function (6 papers), Botanical Research and Chemistry (4 papers), Animal health and immunology (3 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Genetics (183 citations), Hematology (172 citations), Equine (15 citations), Genetics (241 citations) and Agronomy and Crop Science (74 citations). M. Brænd has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include Г. Д. Ефремов, Magne K. Fagerhol, Georgi D. Efremov, Clyde Stormont, Elizabeth M. Tucker, J. B. Clegg, S. E. Y. Goodbourn, L.R. Weitkamp, F Wuhrmann and D C Shreffler. Their work appears in journals such as Acta veterinaria Scandinavica, Hereditas, Nature, Animal Genetics and Science.

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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