Mariola Pęczkowska
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Andrzej JanuszewiczHartmut P.H. NeumannNicole ReischAleksander PrejbiszCharis EngJarosław B. ĆwikłaSarah R. McWhinneyEero Pukkala
- Topics
- Adrenal and Paraganglionic Tumors (31 papers)Hormonal Regulation and Hypertension (20 papers)Pituitary Gland Disorders and Treatments (19 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe American Journal of Human GeneticsAnnals of Oncology
- Partner nations
- PolandGermanyUnited States
In The Last Decade
Mariola Pęczkowska
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 59
- Surgery 687
- Endocrinology, Diabetes and Metabolism 617
- Cancer Research 527
- Molecular Biology 218
- Epidemiology 124
Countries citing papers authored by Mariola Pęczkowska
This map shows the geographic impact of Mariola Pęczkowska'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 Mariola Pęczkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariola Pęczkowska more than expected).
Fields of papers citing papers by Mariola Pęczkowska
This network shows the impact of papers produced by Mariola Pęczkowska. 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 Mariola Pęczkowska. The network helps show where Mariola Pęczkowska may publish in the future.
Co-authorship network of co-authors of Mariola Pęczkowska
This figure shows the co-authorship network connecting the top 25 collaborators of Mariola Pęczkowska. A scholar is included among the top collaborators of Mariola Pęczkowska 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 Mariola Pęczkowska. Mariola Pęczkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 55 | |
| 13 | 77 | |
| 14 | 145 | |
| 15 | 27 | |
| 16 | Laparoscopic adrenalectomy for management of incidentaloma and adrenal masses in patients with hormonal hypertension | 0 |
| 17 | Diagnosis of primary aldosteronism - debate continues. Part I | 1 |
| 18 | 278 | |
| 19 | 19 | |
| 20 | 2 |
About Mariola Pęczkowska
Mariola Pęczkowska is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (31 papers), Hormonal Regulation and Hypertension (20 papers) and Pituitary Gland Disorders and Treatments (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (617 citations), Cancer Research (527 citations) and Surgery (687 citations). Mariola Pęczkowska has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Andrzej Januszewicz, Hartmut P.H. Neumann, Nicole Reisch, Aleksander Prejbisz, Charis Eng, Jarosław B. Ćwikła, Sarah R. McWhinney, Eero Pukkala, Maija Kiuru and Carl Morrison. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Human Genetics and Annals of Oncology.
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.