Daniel Groener

709 citations
53 papers · 516 · h-index 13

Impact in

Papers in

Daniel Groener

48 papers receiving 505 citations

Peers

Daniel Groener
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 234
  • Radiology, Nuclear Medicine and Imaging 170
  • Surgery 101
  • Pulmonary and Respiratory Medicine 63
  • Hepatology 11
Replace Elizabeth Girard with:
Elizabeth Girard France
Giorgio Di Rocco Italy
T.M. Link Germany
Sung Hee Park South Korea
Zhao Wei China
Hiromasa BUSSAKA Japan
Geetanjali Arora India
Danilo Lisi Italy
Miloje V. Tomasevic Serbia
Matthew T. Kim United States
Daniel Groener relative to Elizabeth Girard France Elizabeth Girard's profile →
Citations per field
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Elizabeth Girard · 1×
Citations per year

Countries citing papers authored by Daniel Groener

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Groener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201753
3 201643
4 202141
5 202328
6 201724
7 202220
8 201417
9 201617
10 201717
11 202316
12 202114
13 201613
14 201711
15 20189
16 20229
17 20217
18 20247
19 20236
20 20246

About Daniel Groener

Daniel Groener is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 53 papers that have together received 516 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (28 papers), Thyroid Cancer Diagnosis and Treatment (22 papers), Prostate Cancer Treatment and Research (7 papers), Thyroid Disorders and Treatments (5 papers), Medical Imaging Techniques and Applications (4 papers), Thyroid and Parathyroid Surgery (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Ultrasound in Clinical Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (234 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Surgery (101 citations), Pulmonary and Respiratory Medicine (63 citations) and Hepatology (11 citations). Daniel Groener has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Christian Happel, Frank Grünwald, Yücel Korkusuz, Amir Sabet, Nikolaos Tselis, Felix K.‐H. Chun, Konstantin David Kohlhase, Benjamin Bockisch, Wolfgang Luboldt and Philipp C. Mandel. Their work appears in journals such as Cancers, Scientific Reports, Journal of Nuclear Medicine, Nuklearmedizin - NuclearMedicine and European Journal of Nuclear Medicine and Molecular Imaging.

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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