Gábor Halmos

6.1k citations
163 papers · 5.0k indexed · h-index 41

Gábor Halmos

162 papers receiving 4.9k citations

Peers

Gábor Halmos
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Oncology 1.8k
  • Reproductive Medicine 399
  • Cellular and Molecular Neuroscience 710
  • Biological Psychiatry 95
Replace Kate Groot with:
Kate Groot United States
Jo W.M. Höppener Netherlands
Federica Barbieri Italy
M. Sue O’Dorisio United States
Christian Bruns Switzerland
William F. Simonds United States
Jean‐Jacques Lebrun Canada
Adriana Bajetto Italy
Cornelis J.M. Lips Netherlands
Hippokratis Kiaris United States
Gábor Halmos relative to Kate Groot United States Kate Groot's profile →
Citations per field
00.5×5.6×
Kate Groot · 1×
Citations per year

Countries citing papers authored by Gábor Halmos

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Halmos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20243
4 20245
5 202315
6 20234
7 20233
8 20213
9 201771
10 20121
11 201130
12 200727
13 200622
14 200515
15 200532
16 20057
17 200519
18
Targeted doxorubicin-containing luteinizing hormone-releasing hormone analogue AN-152 inhibits the growth of doxorubicin-resistant MX-1 human breast cancers.
200345
19 199610
20 199320

About Gábor Halmos

Gábor Halmos is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Reproductive Medicine, having authored 163 papers that have together received 5.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (58 papers), Neuroendocrine Tumor Research Advances (41 papers), Lung Cancer Research Studies (26 papers), Neuropeptides and Animal Physiology (24 papers), Pituitary Gland Disorders and Treatments (17 papers), Estrogen and related hormone effects (17 papers), Neuroblastoma Research and Treatments (15 papers) and Cancer-related Molecular Pathways (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Oncology (1.8k citations) and Reproductive Medicine (399 citations). Gábor Halmos has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Andrew V. Schally, Károly Szepesházi, Attila Nagy, Kate Groot, József L. Varga, Zoltán Rékási, Patricia Armatis, Baodong Sun, Tamás Czömpöly and Artur Płonowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Prostate, International Journal of Cancer, Anti-Cancer Drugs and Peptides.

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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