J. Márton
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Physiology
- Endocrine and Autonomic Systems top 10%
- Molecular Biology
- Co-authors
- Vera HársMoussa B. H. YoudimPeter RiedererW BirkmayerJ. KnollMiklós PalkovitsE. StarkAmy Phillips
- Topics
- Stress Responses and Cortisol (6 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)scientometrics and bibliometrics research (3 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
J. Márton
26 papers receiving 601 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 231
- Neurology 224
- Physiology 111
- Endocrine and Autonomic Systems 83
- Molecular Biology 78
Countries citing papers authored by J. Márton
This map shows the geographic impact of J. Márton'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 J. Márton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Márton more than expected).
Fields of papers citing papers by J. Márton
This network shows the impact of papers produced by J. Márton. 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 J. Márton. The network helps show where J. Márton may publish in the future.
Co-authorship network of co-authors of J. Márton
This figure shows the co-authorship network connecting the top 25 collaborators of J. Márton. A scholar is included among the top collaborators of J. Márton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Márton. J. Márton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 20 | |
| 3 | 30 | |
| 4 | [Journal impact factors in the evaluation of scientific performance]. | 1 |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 332 | |
| 10 | On the origin of luteinizing hormone releasing hormone and somatostatin in the median eminence of the rat hypothalamus. | 1 |
| 11 | 2 | |
| 12 | Functional morphology of the hepatic vascular system | 8 |
| 13 | 1 | |
| 14 | Stress-induced ACTH release after removal of the hypothalamus in rats with atrophied neural lobe. | 1 |
| 15 | 108 | |
| 16 | 15 | |
| 17 | 8 | |
| 18 | The effect of TSH on thyroid blood flow in the dog. | 2 |
| 19 | Effects of theophylline on corticosterone secretory and adrenal growth response to ACTH in vivo. | 1 |
| 20 | 7 |
About J. Márton
J. Márton is a scholar working on Behavioral Neuroscience, Anatomy and History and Philosophy of Science, having authored 28 papers that have together received 639 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and scientometrics and bibliometrics research (3 papers). The work is most often cited by research in Neurology (224 citations), Behavioral Neuroscience (51 citations) and Cellular and Molecular Neuroscience (231 citations). J. Márton has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Vera Hárs, Moussa B. H. Youdim, Peter Riederer, W Birkmayer, J. Knoll, Miklós Palkovits, E. Stark, Amy Phillips, David Lawrence and J. Taylor Hays. Their work appears in journals such as Automatica, CHEST Journal and Anesthesiology.
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.