Daniel Labar

2.1k citations
52 papers · 1.8k · h-index 22

Impact in

Papers in

Daniel Labar

51 papers receiving 1.7k citations

Peers

Daniel Labar
Comparison fields: 5 of 105
  • Radiology, Nuclear Medicine and Imaging 792
  • Cancer Research 323
  • Pharmaceutical Science 135
  • Radiation 109
  • Pulmonary and Respiratory Medicine 239
Replace H.‐J. Machulla with:
H.‐J. Machulla Germany
Safiye Osman United Kingdom
Frederick T. Chin United States
Joseph C. Walsh United States
K. Hamacher Germany
P. Angelberger Austria
V Casella United States
H.-J. Machulla Germany
Uwe Haberkorn Germany
T. Ido Japan
Daniel Labar relative to H.‐J. Machulla Germany H.‐J. Machulla's profile →
Citations per field
00.5×1.5×2.3×
H.‐J. Machulla · 1×
Citations per year

Countries citing papers authored by Daniel Labar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Labar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003194
2 1996171
3 2000163
4 199994
5 201385
6 201485
7 200278
8 201467
9 199165
10 201263
11 200151
12 201551
13
Synthesis of [2-11C] thymidine : an imaging agent for cellular proliferation.
199046
14 201745
15 200842
16 201434
17 201433
18 200830
19 201030
20 201726

About Daniel Labar

Daniel Labar is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Cancer, Hypoxia, and Metabolism (14 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Advanced MRI Techniques and Applications (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Fluorine in Organic Chemistry (4 papers), MRI in cancer diagnosis (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (792 citations), Cancer Research (323 citations), Pharmaceutical Science (135 citations), Radiation (109 citations) and Pulmonary and Respiratory Medicine (239 citations). Daniel Labar has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Anne Bol, Vincent Grégoire, Christian Michel, Thierry Vander Borght, Anne De Volder, Ann Coppens, John A. Lee, M. Sibomana, Bernard Gallez and Stanislas Pauwels. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Radiotherapy and Oncology, Acta Oncologica, Contrast Media & Molecular Imaging and Bioorganic & Medicinal Chemistry.

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.

Explore authors with similar magnitude of impact