Dániel László

49 papers receiving 837 citations

Peers

Dániel László
Comparison fields: 5 of 121
  • Nephrology 121
  • Orthopedics and Sports Medicine 109
  • Oncology 178
  • Pulmonary and Respiratory Medicine 195
  • Physiology 135
Replace A. W. Skillen with:
A. W. Skillen United Kingdom
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Makoto Ishida Japan
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Dániel László relative to A. W. Skillen United Kingdom A. W. Skillen's profile →
Citations per field
00.5×4.7×
A. W. Skillen · 1×
Citations per year

Countries citing papers authored by Dániel László

Since Specialization
Citations

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

Fields of papers citing papers by Dániel László

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dániel László, 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 Dániel László Line = papers co-authored together Dániel László 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 1993124
2 195770
3 195270
4
Metabolism of strontium-85 and calcium-45 in man.
196065
5 195462
6 195258
7 195254
8 195745
9 195344
10 195143
11
Development of functional diversity in mouse macrophages. Mutual exclusion of two phenotypic states.
199338
12
Studies on the effect of ethylenediaminetetraacetic acid in hypercalcemia.
195632
13 195931
14 195429
15 195628
16 195727
17 195726
18 195226
19
Metabolism of lanthanum and yttrium chelates.
195526
20 195719

About Dániel László

Dániel László is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone health and treatments (9 papers), Estrogen and related hormone effects (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Radioactive contamination and transfer (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Diet and metabolism studies (2 papers), Bone health and osteoporosis research (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Nephrology (121 citations), Orthopedics and Sports Medicine (109 citations), Oncology (178 citations), Pulmonary and Respiratory Medicine (195 citations) and Physiology (135 citations). Dániel László has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Herta Spencer, Joseph Samachson, Judith S. Bellin, Horace J. Spencer, Alain Schilling, Lee S. Weinstein, Peter M. Henson, Paul W. Noble, David W. H. Riches and Monte Blau. Their work appears in journals such as Science, Experimental Biology and Medicine, Journal of Clinical Investigation, JNCI Journal of the National Cancer Institute and The American Journal of Medicine.

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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