Danielle E. Otto

673 citations
14 papers · 523 · h-index 8

Impact in

Papers in

Danielle E. Otto

13 papers receiving 490 citations

Peers

Danielle E. Otto
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 154
  • Nephrology 62
  • Radiology, Nuclear Medicine and Imaging 106
  • Cancer Research 52
  • Process Chemistry and Technology 10
Replace Alan R. McNeil with:
Alan R. McNeil Australia
Makoto Kuro-o United States
Yoshiki Nishizawa Japan
Francesco Franceschelli Italy
Niels Engberding United States
Kamran Akram United States
Rosanna Capasso Italy
Eileen Blasi United States
Detian Li China
Zilin Sun China
Danielle E. Otto relative to Alan R. McNeil Australia Alan R. McNeil's profile →
Citations per field
00.5×2×3×4.4×
Alan R. McNeil · 1×
Citations per year

Countries citing papers authored by Danielle E. Otto

Since Specialization
Citations

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

Fields of papers citing papers by Danielle E. Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002122
2
[1-(11)C]Acetate as a quantitative perfusion tracer in myocardial PET.
2001108
3 200466
4 199460
5 200460
6 202039
7 200129
8 200117
9 20238
10
[Follow-up of differentiated thyroid cancer patients using rhTSH--preliminary results].
20017
11 20025
12 19951
13 20221
14 20240

About Danielle E. Otto

Danielle E. Otto is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Radiology, Nuclear Medicine and Imaging, Nephrology and Hepatology, having authored 14 papers that have together received 523 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Hormonal and reproductive studies (1 paper), Cannabis and Cannabinoid Research (1 paper), Testicular diseases and treatments (1 paper), Bladder and Urothelial Cancer Treatments (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Nephrology (62 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Cancer Research (52 citations) and Process Chemistry and Technology (10 citations). Danielle E. Otto has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thorsten Petrich, Wolfram H. Knapp, Michael Hofmann, Angelika Börner, E. Weckesser, A. R. Boerner, Wolfgang Burchert, Jörg van den Hoff, G Kühnel and Harald Fricke. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, JAMA Network Open, Cancers, Inhalation Toxicology and Annals of Oncology.

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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