D. Gaál

38 papers receiving 542 citations

Peers

D. Gaál
Comparison fields: 5 of 87
  • Aging 14
  • Biomaterials 65
  • Molecular Biology 327
  • Oncology 127
  • Reproductive Medicine 39
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Lingling Geng China
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Citations per field
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Citations per year

Countries citing papers authored by D. Gaál

Since Specialization
Citations

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

Fields of papers citing papers by D. Gaál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199684
2 200954
3 199937
4 200434
5 199229
6 199926
7
New silicon compounds as resistance modifiers against multidrug-resistant cancer cells.
200425
8 199824
9 200119
10 200519
11 200018
12 200218
13 197817
14 200314
15
The antitumor activity of the somatostatin structural derivative (TT-232) on different human tumor xenografts.
200414
16
Evaluation of the antitumor efficacy of the somatostatin structural derivative TT-232 on different tumor models.
200612
17
Immunomodulatory effect of synthetic branched polypeptides I.
198411
18
In vivo studies of the new gonadotropin-releasing hormone antagonist--copolymer conjugates having antitumor activity.
199610
19
Influence of various administration routes on the antitumor efficacy ofTT-232, a novel somatostatin analog.
20009
20 20127

About D. Gaál

D. Gaál is a scholar working on Molecular Biology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 38 papers that have together received 552 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (9 papers), Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Lung Cancer Research Studies (5 papers), Biopolymer Synthesis and Applications (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immunotherapy and Immune Responses (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Aging (14 citations), Biomaterials (65 citations), Molecular Biology (327 citations), Oncology (127 citations) and Reproductive Medicine (39 citations). D. Gaál has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Ferenc Hudecz, Gábor Mező, M. Szekerke, Orsolya Csuka, I Blazsek, Gÿorgý Kéri, Imre Mező, István Teplán, Judit Reményi and Éva Rajnavölgyi. Their work appears in journals such as European Journal of Cancer, Bioconjugate Chemistry, Mechanisms of Ageing and Development, Journal of Controlled Release and Proceedings of the National Academy of Sciences.

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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