Mariann Thymann

588 citations
21 papers · 449 indexed · h-index 11

Impact in

Papers in

    • Erythrocyte Function and Pathophysiology 6
    • Hemoglobin structure and function 4
    • Caveolin-1 and cellular processes 2

Mariann Thymann

19 papers receiving 410 citations

Peers

Mariann Thymann
Comparison fields: 5 of 73
  • Pathology and Forensic Medicine 159
  • Rheumatology 70
  • Endocrinology, Diabetes and Metabolism 75
  • Agronomy and Crop Science 39
  • Genetics 101
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E. Panfili Italy
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Koichi Kitajima Japan
Shoshana Israel Israel
Manuella Bouttier Canada
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Citations per field
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Citations per year

Countries citing papers authored by Mariann Thymann

Since Specialization
Citations

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

Fields of papers citing papers by Mariann Thymann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995139
2 197850
3 198340
4 196538
5 196636
6 199029
7 198126
8 198620
9 199316
10 198214
11 198812
12 19877
13 19856
14
Plasma vitamin D-binding protein (GC) factors, immunoglobulin G heavy chain (GM) allotypes and immunoglobulin kappa light chain (KM1) allotype in patients with sarcoidosis and in healthy control subjects.
20025
15 19904
16 20033
17 19752
18 19791
19 19721
20 19920

About Mariann Thymann

Mariann Thymann is a scholar working on Physiology, Cell Biology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 21 papers that have together received 449 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Animal Genetics and Reproduction (5 papers), Hemoglobin structure and function (4 papers), Vitamin D Research Studies (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), Glycosylation and Glycoproteins Research (2 papers), Caveolin-1 and cellular processes (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (159 citations), Rheumatology (70 citations), Endocrinology, Diabetes and Metabolism (75 citations), Agronomy and Crop Science (39 citations) and Genetics (101 citations). Mariann Thymann has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include O. H. Sørensen, Klaus Müller, Bo Baslund, R. Aschaffenburg, Stephan Weidinger, Margareta Svensson, J. Constans, P. Oxholm, Mimi Høier‐Madsen and Klaus Bendtzen. Their work appears in journals such as Human Genetics, Human Heredity, Electrophoresis, Acta veterinaria Scandinavica and Forensic Science International.

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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