Márta Bor
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Kevin CattLászló HunyadyTamás BallaAlbert J. BaukalRobert LodgeMárta SzaszákZsuzsanna GáborikJ. Alberto Olivares‐Reyes
- Topics
- Porphyrin Metabolism and Disorders (6 papers)Receptor Mechanisms and Signaling (5 papers)Metabolism and Genetic Disorders (4 papers)
- Partner nations
- United StatesHungaryChile
In The Last Decade
Márta Bor
15 papers receiving 630 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 511
- Cardiology and Cardiovascular Medicine 250
- Cellular and Molecular Neuroscience 188
- Cell Biology 104
- Endocrinology, Diabetes and Metabolism 103
Countries citing papers authored by Márta Bor
This map shows the geographic impact of Márta Bor'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 Márta Bor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márta Bor more than expected).
Fields of papers citing papers by Márta Bor
This network shows the impact of papers produced by Márta Bor. 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 Márta Bor. The network helps show where Márta Bor may publish in the future.
Co-authorship network of co-authors of Márta Bor
This figure shows the co-authorship network connecting the top 25 collaborators of Márta Bor. A scholar is included among the top collaborators of Márta Bor 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 Márta Bor. Márta Bor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Hemorheological status and redox homeostasis of phlebotomised porphyria cutanea tarda patients with diabetes mellitus and in moderate alcohol consumer. | 6 |
| 4 | [Treatment of acute porphyrias. The importance of follow-up of patients and carriers]. | 4 |
| 5 | [Acute porphyrias in differential diagnosis]. | 1 |
| 6 | 152 | |
| 7 | 1 | |
| 8 | Identification of acute intermittent porphyria carriers by molecular biologic methods. | 1 |
| 9 | 31 | |
| 10 | 58 | |
| 11 | 113 | |
| 12 | 163 | |
| 13 | 13 | |
| 14 | 34 | |
| 15 | 62 |
About Márta Bor
Márta Bor is a scholar working on Clinical Biochemistry, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 641 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (6 papers), Receptor Mechanisms and Signaling (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (250 citations), Cellular and Molecular Neuroscience (188 citations) and Molecular Biology (511 citations). Márta Bor has collaborated with scholars based in United States, Hungary and Chile. Frequent co-authors include Kevin Catt, László Hunyady, Tamás Balla, Albert J. Baukal, Robert Lodge, Márta Szaszák, Zsuzsanna Gáborik, J. Alberto Olivares‐Reyes, Hong Ji and Kathryn Sandberg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.