Karin Luttropp

779 citations
23 papers · 377 · h-index 11

Impact in

  • Nephrology top 10%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Parathyroid Disorders and Treatments

Papers in

    • Epigenetics and DNA Methylation 5
    • Dialysis and Renal Disease Management 3
    • Parathyroid Disorders and Treatments 2
    • Renal Diseases and Glomerulopathies 2

Karin Luttropp

23 papers receiving 373 citations

Peers

Karin Luttropp
Comparison fields: 5 of 77
  • Nephrology 84
  • Transplantation 13
  • Aging 7
  • Rheumatology 52
  • Health, Toxicology and Mutagenesis 46
Replace Janet Addison with:
Janet Addison Switzerland
Amira F. Gohara United States
Laura J. Smyth United Kingdom
Faieza Qasim United Kingdom
Vinay Singh Tanwar India
E.J. Nouwen Belgium
Takahiko Ogawa Japan
R. W. Chesney United States
Martina Gaggl Austria
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Citations per field
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Citations per year

Countries citing papers authored by Karin Luttropp

Since Specialization
Citations

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

Fields of papers citing papers by Karin Luttropp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 200963
3 201750
4 201920
5 201119
6 200919
7 201216
8 201615
9 202014
10 202213
11 200810
12 20128
13 20157
14 20127
15 20167
16 20145
17 20195
18 20214
19 20194
20 20203

About Karin Luttropp

Karin Luttropp is a scholar working on Molecular Biology, Nephrology, Rheumatology, Immunology and Epidemiology, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Spondyloarthritis Studies and Treatments (3 papers), Dialysis and Renal Disease Management (3 papers), Parathyroid Disorders and Treatments (2 papers), Genetic Syndromes and Imprinting (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Nephrology (84 citations), Transplantation (13 citations), Aging (7 citations), Rheumatology (52 citations) and Health, Toxicology and Mutagenesis (46 citations). Karin Luttropp has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Louise Nordfors, Peter Stenvinkel, Martin Schalling, Bengt Lindholm, Tomas J. Ekström, Abdul Rashid Qureshi, Juan Jesús Carrero, Johanna Penell, Samira Salihović and Erik Ingelsson. Their work appears in journals such as Journal of Nephrology, Annals of the Rheumatic Diseases, Advances in Therapy, Patient Preference and Adherence and Scientific Reports.

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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