Uwe Mäder

1.8k citations
38 papers · 1.1k indexed · h-index 20

Uwe Mäder

38 papers receiving 1.1k citations

Peers

Uwe Mäder
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 902
  • Surgery 532
  • Anatomy 15
  • Radiology, Nuclear Medicine and Imaging 176
  • Genetics 174
Replace Marco Biffoni with:
Marco Biffoni Italy
Qinghai Ji China
Claudia Scollo Italy
Kenichi Matsuzu Japan
Laura Moss United Kingdom
Chie Masaki Japan
Fadi Nabhan United States
Nobuyasu Suganuma Japan
Georg F. W. Scheumann Germany
Isabella Merante Boschin Italy
Uwe Mäder relative to Marco Biffoni Italy Marco Biffoni's profile →
Citations per field
00.5×2.8×
Marco Biffoni · 1×
Citations per year

Countries citing papers authored by Uwe Mäder

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Mäder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2
Evaluating the use of a two-step age-based cutoff for the UICC/AJCC TNM staging system in patients with papillary or follicular thyroid cancer
20226
3 202119
4 202011
5 20175
6 201518
7 201527
8 201462
9 201331
10 2012132
11 201162
12 201045
13 200983
14 20092
15 200947
16 200828
17 200724
18 200752
19 20012
20 199818

About Uwe Mäder

Uwe Mäder is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Genetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (26 papers), BRCA gene mutations in cancer (16 papers), Thyroid and Parathyroid Surgery (7 papers), Global Cancer Incidence and Screening (6 papers), Thyroid Disorders and Treatments (5 papers), Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (902 citations), Surgery (532 citations) and Anatomy (15 citations). Uwe Mäder has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Christoph Reiners, Frederik A. Verburg, Markus Luster, Heribert Hänscheid, Andreas K. Buck, E. Thies, Johannes W. A. Smit, Michael Laßmann, Justus Müller and Mathias Buttmann. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, European Journal of Nuclear Medicine and Molecular Imaging, Nuklearmedizin - NuclearMedicine and Thyroid.

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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