Ina Binse

1.3k citations
35 papers · 925 · h-index 15

Impact in

Papers in

Ina Binse

35 papers receiving 904 citations

Peers

Ina Binse
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 329
  • Radiology, Nuclear Medicine and Imaging 320
  • Neurology 182
  • Epidemiology 329
  • Oncology 245
Replace Giovanna Pepe with:
Giovanna Pepe Italy
Ch. Bruns Germany
Vincenzo Allegri Italy
Andreas Haldemann Switzerland
Ling-Wei Wang Taiwan
Nicolas Marincek Switzerland
Tessa Brabander Netherlands
C.A. Hoefnagel Netherlands
Ilaria Grassi Italy
Hironori Nishibori Japan
Ina Binse relative to Giovanna Pepe Italy Giovanna Pepe's profile →
Citations per field
00.5×3.5×
Giovanna Pepe · 1×
Citations per year

Countries citing papers authored by Ina Binse

Since Specialization
Citations

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

Fields of papers citing papers by Ina Binse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011253
2 2017141
3 201261
4 201846
5 201646
6 202037
7 201634
8 201232
9 201627
10 201527
11 201919
12 201818
13 202017
14 201417
15 201616
16 201814
17 201712
18 201911
19 202111
20 201810

About Ina Binse

Ina Binse is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Epidemiology, Surgery and Biomedical Engineering, having authored 35 papers that have together received 925 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Medical Imaging Techniques and Applications (6 papers), Radiation Dose and Imaging (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Pituitary Gland Disorders and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Radiology, Nuclear Medicine and Imaging (320 citations), Neurology (182 citations), Epidemiology (329 citations) and Oncology (245 citations). Ina Binse has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Thorsten D. Poeppel, Andreas Bockisch, Wolfgang Brandau, Gerald Antoch, Stephan Petersenn, Andreas Bockisch, Christian Boy, Harald Lahner, M. Schott and Rainer Görges. Their work appears in journals such as Journal of Nuclear Medicine, Nuklearmedizin - NuclearMedicine, European Journal of Nuclear Medicine and Molecular Imaging, Hormone and Metabolic Research and EJNMMI Physics.

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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