Ina Binse

1.3k citations
35 papers · 849 · h-index 14

Impact in

Papers in

Ina Binse

35 papers receiving 831 citations

Peers

Ina Binse
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 319
  • Radiology, Nuclear Medicine and Imaging 378
  • Neurology 223
  • Oncology 307
  • Epidemiology 335
Replace Giovanna Pepe with:
Giovanna Pepe Italy
Saila Kauhanen Finland
Andreas Haldemann Switzerland
Vincenzo Allegri Italy
Nicolas Marincek Switzerland
Ameya Puranik India
P.T.E. Postema Netherlands
Tessa Brabander Netherlands
C.A. Hoefnagel Netherlands
Hironori Nishibori Japan
Ina Binse relative to Giovanna Pepe Italy Giovanna Pepe's profile →
Citations per field
00.5×2.8×
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 2011233
2 2017133
3 201258
4 201844
5 201643
6 202033
7 201632
8 201228
9 201625
10 201522
11 201818
12 201916
13 202016
14 201614
15 201413
16 201712
17 201911
18 202111
19 201410
20 20189

About Ina Binse

Ina Binse is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery, Neurology and Epidemiology, having authored 35 papers that have together received 849 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (21 papers), Medical Imaging Techniques and Applications (16 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Radiation Dose and Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Thyroid and Parathyroid Surgery (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (319 citations), Radiology, Nuclear Medicine and Imaging (378 citations), Neurology (223 citations), Oncology (307 citations) and Epidemiology (335 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, Stephan Petersenn, M. Schott, Gerald Antoch, Christian Boy, Harald Lahner, Rainer Görges and Andreas Bockisch. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Nuklearmedizin - NuclearMedicine, EJNMMI Physics and Nuclear Medicine Communications.

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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