Marja Deckert

813 citations
18 papers · 691 · h-index 12

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Advanced Glycation End Products research

Papers in

Marja Deckert

17 papers receiving 652 citations

Peers

Marja Deckert
Comparison fields: 5 of 68
  • Nephrology 295
  • Clinical Biochemistry 83
  • Endocrinology, Diabetes and Metabolism 180
  • Cardiology and Cardiovascular Medicine 116
  • Genetics 67
Replace Alois Saller with:
Alois Saller Italy
M. C. Angelico United States
S. Michael Mauer United States
Michael W. Steffes United States
Jens Gerth Germany
Conxita Jacobs-Cachá Spain
Feng Bai China
Konosuke Konishi Japan
Mansi Dalal United States
Ju-Young Moon South Korea
Marja Deckert relative to Alois Saller Italy Alois Saller's profile →
Citations per field
00.5×1.5×2.3×
Alois Saller · 1×
Citations per year

Countries citing papers authored by Marja Deckert

Since Specialization
Citations

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

Fields of papers citing papers by Marja Deckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1985218
2 1988143
3 200063
4 199660
5 199131
6 199530
7 198728
8 199526
9 198723
10 199915
11
Micro-ELISA for the quantitation of human urinary and serum retinol-binding protein.
198914
12 198613
13 198010
14 20006
15 19935
16 19895
17 20091
18 20090

About Marja Deckert

Marja Deckert is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Genetics and Cell Biology, having authored 18 papers that have together received 691 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Renal Diseases and Glomerulopathies (3 papers), Dialysis and Renal Disease Management (3 papers), Diabetes Management and Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes and associated disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Nephrology (295 citations), Clinical Biochemistry (83 citations), Endocrinology, Diabetes and Metabolism (180 citations), Cardiology and Cardiovascular Medicine (116 citations) and Genetics (67 citations). Marja Deckert has collaborated with scholars based in Denmark and United States. Frequent co-authors include Bo Feldt‐Rasmussen, Bo Dinesen, T. Deckert, Hans‐Henrik Parving, Jan Skov Jensen, Anders Fomsgaard, Steen Andersen, Bryan D. Myers, Kristina Blouch and Jianwen Chen. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Kidney International, European Journal of Clinical Investigation, Diabetes Care and Diabetes.

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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