Anja E. Schiel

1.1k citations
36 papers · 788 · h-index 14

Impact in

Papers in

Anja E. Schiel

36 papers receiving 756 citations

Peers

Anja E. Schiel
Comparison fields: 5 of 81
  • Statistics and Probability 131
  • Endocrinology, Diabetes and Metabolism 105
  • Economics and Econometrics 172
  • Immunology 80
  • Cardiology and Cardiovascular Medicine 81
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Citations per year

Countries citing papers authored by Anja E. Schiel

Since Specialization
Citations

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

Fields of papers citing papers by Anja E. Schiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anja E. Schiel. 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 Anja E. Schiel. The network helps show where Anja E. Schiel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002120
2 2005107
3 202067
4 202157
5 200757
6 202346
7 199635
8 202030
9 201830
10 199628
11 202125
12
Persistent increase in plasma thrombomodulin in patients with a history of lupus nephritis: endothelial cell activation markers.
200122
13 202220
14 202216
15 202014
16 202313
17 202212
18 202311
19 202510
20 20249

About Anja E. Schiel

Anja E. Schiel is a scholar working on Economics and Econometrics, Statistics and Probability, Statistics, Probability and Uncertainty, Oncology and Immunology, having authored 36 papers that have together received 788 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Statistical Methods in Clinical Trials (10 papers), Economic and Financial Impacts of Cancer (5 papers), Pharmaceutical Economics and Policy (4 papers), Biomedical Ethics and Regulation (4 papers), Cancer Genomics and Diagnostics (3 papers), Meta-analysis and systematic reviews (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Statistics and Probability (131 citations), Endocrinology, Diabetes and Metabolism (105 citations), Economics and Econometrics (172 citations), Immunology (80 citations) and Cardiology and Cardiovascular Medicine (81 citations). Anja E. Schiel has collaborated with scholars based in Norway, Netherlands and United Kingdom. Frequent co-authors include Warner S. Simonides, Martin Posch, Olivier Collignon, Theo J. Visser, George G. J. M. Kuiper, Onno Bakker, Ellen Kaptein, Jan G. J. van de Winkel, H. Craig Morton and Frank Pétavy. Their work appears in journals such as The Lancet Oncology, Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology, BMC Medical Research Methodology and Immunogenetics.

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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