P Mora
Impact in
-
- Hormonal Regulation and Hypertension
- Pituitary Gland Disorders and Treatments
- Adrenal Hormones and Disorders
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Pituitary Gland Disorders and Treatments 3
- Hormonal Regulation and Hypertension 3
- Adrenal Hormones and Disorders 2
- Surgery 5
- Adrenal and Paraganglionic Tumors 5
- Co-authors
- Bruno Allolio (11 shared papers)Martín Reincke (10 shared papers)Martin Faßnacht (3 shared papers)Felix Beuschlein (5 shared papers)Stefan Väth (1 shared paper)George P. Chrousos (2 shared papers)O Zwermann (2 shared papers)Peter Nickel (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (5 papers)European Journal of Endocrinology (2 papers)Journal of Endocrinology (1 paper)Journal of the American College of Cardiology (1 paper)Endocrine Research (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
P Mora
12 papers receiving 610 citations
Peers
Comparison fields: 5 of 56
- Endocrinology, Diabetes and Metabolism 251
- Cancer Research 200
- Surgery 323
- Behavioral Neuroscience 21
- Genetics 45
Countries citing papers authored by P Mora
This map shows the geographic impact of P Mora'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 P Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Mora more than expected).
Fields of papers citing papers by P Mora
This network shows the impact of papers produced by P Mora. 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 P Mora. The network helps show where P Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside P Mora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 114 | |
| 2 | 1995 | 85 | |
| 3 | 1997 | 75 | |
| 4 | 2001 | 72 | |
| 5 | 1999 | 67 | |
| 6 | Antiproliferative and angiostatic activity of suramin analogues. | 1995 | 50 |
| 7 | 1998 | 43 | |
| 8 | 1996 | 36 | |
| 9 | 1998 | 29 | |
| 10 | 1999 | 27 | |
| 11 | 2000 | 22 | |
| 12 | DHEA, a selective glucocorticoid receptor antagonist: its role in immune system regulation and metabolism. | 2002 | 20 |
About P Mora
P Mora is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cancer Research and Neurology, having authored 12 papers that have together received 640 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (5 papers), Pituitary Gland Disorders and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers), Adrenal Hormones and Disorders (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (251 citations), Cancer Research (200 citations), Surgery (323 citations), Behavioral Neuroscience (21 citations) and Genetics (45 citations). P Mora has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Bruno Allolio, Martín Reincke, Martin Faßnacht, Felix Beuschlein, Stefan Väth, George P. Chrousos, O Zwermann, Peter Nickel, Wiebke Arlt and Ana Cláudia Latronico. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Journal of Endocrinology, Journal of the American College of Cardiology and Endocrine Research.
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.