Albert J. Baukal
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 2%
- Co-authors
- Kevin CattTamás BallaLászló HunyadyG GuillemetteHartmut GlossmannMaria DufauAndrás SpätG. Aguilera
- Topics
- Receptor Mechanisms and Signaling (21 papers)Protein Kinase Regulation and GTPase Signaling (16 papers)Renin-Angiotensin System Studies (15 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismReproductive MedicineCardiology and Cardiovascular Medicine
- Partner nations
- United StatesCameroonHungary
In The Last Decade
Albert J. Baukal
70 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.4k
- Endocrinology, Diabetes and Metabolism 983
- Cardiology and Cardiovascular Medicine 965
- Cellular and Molecular Neuroscience 650
- Cell Biology 498
Countries citing papers authored by Albert J. Baukal
This map shows the geographic impact of Albert J. Baukal'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 Albert J. Baukal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert J. Baukal more than expected).
Fields of papers citing papers by Albert J. Baukal
This network shows the impact of papers produced by Albert J. Baukal. 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 Albert J. Baukal. The network helps show where Albert J. Baukal may publish in the future.
Co-authorship network of co-authors of Albert J. Baukal
This figure shows the co-authorship network connecting the top 25 collaborators of Albert J. Baukal. A scholar is included among the top collaborators of Albert J. Baukal 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 Albert J. Baukal. Albert J. Baukal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 15 | |
| 3 | 44 | |
| 4 | 28 | |
| 5 | 34 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 32 | |
| 9 | 23 | |
| 10 | 152 | |
| 11 | 59 | |
| 12 | 30 | |
| 13 | 40 | |
| 14 | 43 | |
| 15 | 65 | |
| 16 | 22 | |
| 17 | 30 | |
| 18 | 81 | |
| 19 | Angiotensin II receptors of the adrenal gland: location and modulation by cations and guanyl nucleotides. | 3 |
| 20 | 46 |
About Albert J. Baukal
Albert J. Baukal is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Renin-Angiotensin System Studies (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (983 citations), Reproductive Medicine (411 citations) and Cardiology and Cardiovascular Medicine (965 citations). Albert J. Baukal has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Kevin Catt, Tamás Balla, László Hunyady, G Guillemette, Hartmut Glossmann, Maria Dufau, András Spät, G. Aguilera, Gaétan Guillemette and Márta Bor. Their work appears in journals such as Nature, Science 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.