U. Loos

1.6k citations
74 papers · 1.2k · h-index 19

Impact in

Papers in

U. Loos

65 papers receiving 1.1k citations

Peers

U. Loos
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 477
  • Health, Toxicology and Mutagenesis 154
  • Pharmacology 56
  • Genetics 168
  • Infectious Diseases 87
Replace Paola Coppola with:
Paola Coppola Italy
K Okuda Japan
A Gutman Israel
Aya Yoshihara Japan
Flóra Szeri Hungary
C. P. Peter United States
Guilin Qiao United States
Richard D. Levere United States
Mark R. Cunningham United States
U. Loos relative to Paola Coppola Italy Paola Coppola's profile →
Citations per field
00.5×4.3×
Paola Coppola · 1×
Citations per year

Countries citing papers authored by U. Loos

Since Specialization
Citations

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

Fields of papers citing papers by U. Loos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985116
2 1999110
3 200589
4 200567
5 201554
6 199551
7 199850
8 199245
9 200244
10 198942
11 200142
12 199334
13 200133
14 198932
15 199723
16 200222
17 199520
18 197819
19 198719
20 198918

About U. Loos

U. Loos is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Genetics and Oncology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (33 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Drug Transport and Resistance Mechanisms (4 papers), HIV/AIDS drug development and treatment (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Ophthalmology and Eye Disorders (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (477 citations), Health, Toxicology and Mutagenesis (154 citations), Pharmacology (56 citations), Genetics (168 citations) and Infectious Diseases (87 citations). U. Loos has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Michaël Behr, Achim Wenzel, Ekaterina Breous, Thomas Schmitt, E. Musch, J.Chris Jensen, Michel Eichelbaum, Celia R. Espinoza, J. Homoki and E. Heinze. Their work appears in journals such as Hormone and Metabolic Research, European Journal of Endocrinology, Molecular and Cellular Endocrinology, Cancer Chemotherapy and Pharmacology and Journal of Molecular Medicine.

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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