G. T. Haupert
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- J. M. SanchoE HaberCynthia T. CarilliLewis C. CantleyC. De AngelisHaifa HallaqHoracio F. CantielloDennis A. Ausiello
- Topics
- Ion Transport and Channel Regulation (6 papers)Electrolyte and hormonal disorders (3 papers)Neuropeptides and Animal Physiology (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
G. T. Haupert
11 papers receiving 440 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 336
- Cellular and Molecular Neuroscience 136
- Endocrinology, Diabetes and Metabolism 100
- Pulmonary and Respiratory Medicine 81
- Cardiology and Cardiovascular Medicine 80
Countries citing papers authored by G. T. Haupert
This map shows the geographic impact of G. T. Haupert'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 G. T. Haupert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. T. Haupert more than expected).
Fields of papers citing papers by G. T. Haupert
This network shows the impact of papers produced by G. T. Haupert. 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 G. T. Haupert. The network helps show where G. T. Haupert may publish in the future.
Co-authorship network of co-authors of G. T. Haupert
This figure shows the co-authorship network connecting the top 25 collaborators of G. T. Haupert. A scholar is included among the top collaborators of G. T. Haupert 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 G. T. Haupert. G. T. Haupert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 48 | |
| 3 | 14 | |
| 4 | 26 | |
| 5 | 19 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 78 | |
| 9 | 57 | |
| 10 | 40 | |
| 11 | 154 |
About G. T. Haupert
G. T. Haupert is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Obstetrics and Gynecology, having authored 11 papers that have together received 463 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (6 papers), Electrolyte and hormonal disorders (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (136 citations), Endocrine and Autonomic Systems (43 citations) and Endocrinology, Diabetes and Metabolism (100 citations). G. T. Haupert has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include J. M. Sancho, E Haber, Cynthia T. Carilli, Lewis C. Cantley, C. De Angelis, Haifa Hallaq, Horacio F. Cantiello, Dennis A. Ausiello, Maryse Crabos and Emma Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Hypertension.
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.