M. Hüfner

2.9k citations
104 papers · 2.0k indexed · h-index 25

M. Hüfner

95 papers receiving 1.9k citations

Peers

M. Hüfner
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Surgery 478
  • Molecular Biology 602
  • Genetics 90
  • Orthopedics and Sports Medicine 73
Replace Billie M. Moats‐Staats with:
Billie M. Moats‐Staats United States
H Studer Switzerland
Glen W. Sizemore United States
Akihiro Sakurai Japan
Takao Obara Japan
Hironori Yamasaki Japan
Rue‐Tsuan Liu Taiwan
Thomas Ledet Denmark
Maurice F. Attie United States
Ji‐Kan Ryu South Korea
M. Hüfner relative to Billie M. Moats‐Staats United States Billie M. Moats‐Staats's profile →
Citations per field
00.5×1.5×2.1×
Billie M. Moats‐Staats · 1×
Citations per year

Countries citing papers authored by M. Hüfner

Since Specialization
Citations

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

Fields of papers citing papers by M. Hüfner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Wie verlässlich ist die sekundäre Risikostratifizierung mittels stimulierten Thyreoglobulins bei Patienten mit differenziertem Schilddrüsenkarzinom
20132
2 20093
3 20091
4 20080
5 20081
6 20055
7 200483
8 20030
9 200220
10 200033
11 20000
12 199922
13 199835
14 199727
15 199718
16 199739
17 199627
18 198936
19 19893
20
Sensitive radioimmunoassay for thyrotropin by use of commercially available tracer and antibody.
19772

About M. Hüfner

M. Hüfner is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Radiology, Nuclear Medicine and Imaging, Oncology and Orthopedics and Sports Medicine, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (29 papers), Thyroid Cancer Diagnosis and Treatment (27 papers), Bone health and treatments (12 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Neuroendocrine Tumor Research Advances (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Thyroid and Parathyroid Surgery (8 papers) and Parathyroid Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (478 citations), Molecular Biology (602 citations), Genetics (90 citations) and Orthopedics and Sports Medicine (73 citations). M. Hüfner has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Heide Siggelkow, M Grußendorf, Robert Ritzel, Markus Nauck, Jens J. Holst, Michael A. Nauck, Markus M. Heimesaat, Wolff Schmiegel, Norbert Schütze and R. D. Hesch. Their work appears in journals such as European Journal of Endocrinology, Clinica Chimica Acta, Experimental and Clinical Endocrinology & Diabetes, Nuklearmedizin - NuclearMedicine and Journal of Cellular Biochemistry.

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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