U Seiffert

24 papers receiving 354 citations

Peers

U Seiffert
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 98
  • Clinical Biochemistry 26
  • Nephrology 16
  • Cancer Research 29
  • Rheumatology 28
Replace Kaya Emerk with:
Kaya Emerk Türkiye
Yasutaka Ota Japan
Arthur S. Brecher United States
Craig Laughton United States
B Steinmann Switzerland
Miki Imazu Japan
Ainhoa Oguiza Spain
Xiufei Liu China
Anthony W. Norman United States
Ben Lane United States
U Seiffert relative to Kaya Emerk Türkiye Kaya Emerk's profile →
Citations per field
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Citations per year

Countries citing papers authored by U Seiffert

Since Specialization
Citations

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

Fields of papers citing papers by U Seiffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196583
2 199352
3 199646
4 197725
5
Value of the serum levels of the tumor marker TUM2-PK in pancreatic cancer.
199725
6 198723
7 198421
8 198919
9 196517
10 199312
11 198310
12 19967
13 19937
14 19815
15 19734
16 19843
17 19963
18 19892
19 19892
20 19702

About U Seiffert

U Seiffert is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Rheumatology, having authored 29 papers that have together received 376 indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (7 papers), Pancreatitis Pathology and Treatment (3 papers), Biochemical and Molecular Research (3 papers), Folate and B Vitamins Research (2 papers), Muscle metabolism and nutrition (2 papers), Cancer, Lipids, and Metabolism (2 papers), Advanced Glycation End Products research (2 papers) and Automotive and Human Injury Biomechanics (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Clinical Biochemistry (26 citations), Nephrology (16 citations), Cancer Research (29 citations) and Rheumatology (28 citations). U Seiffert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include G. M. Oremek, Bernard W. Agranoff, W Siede, Winfried März, R. Siekmeier, Hubert Scharnagl, Gross Wl, Günter Schmid, A K Hajra and Edwin H. Eigenbrodt. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Clinical Biochemistry, Biochemical and Biophysical Research Communications and SAE technical papers on CD-ROM/SAE technical paper series.

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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