Beata Kos‐Kudła
Impact in
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 35
- Pituitary Gland Disorders and Treatments 26
- Thyroid Disorders and Treatments 24
- Co-authors
- Bogdan MarekDariusz KajdaniukDik J. KwekkeboomMariusz NowakZofia OstrowskaLucyna SiemińśkaGuido RindiMassimo Falconi
In The Last Decade
Beata Kos‐Kudła
221 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Neurology 1.7k
- Oncology 2.6k
- Epidemiology 3.0k
- Endocrine and Autonomic Systems 317
- Endocrinology, Diabetes and Metabolism 612
Countries citing papers authored by Beata Kos‐Kudła
This map shows the geographic impact of Beata Kos‐Kudła'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 Beata Kos‐Kudła with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beata Kos‐Kudła more than expected).
Fields of papers citing papers by Beata Kos‐Kudła
This network shows the impact of papers produced by Beata Kos‐Kudła. 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 Beata Kos‐Kudła. The network helps show where Beata Kos‐Kudła may publish in the future.
Co-authors
The 25 scholars most cited alongside Beata Kos‐Kudła, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 36 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 12 | |
| 16 | 2017 | 99 | |
| 17 | Serum homocysteine concentrations in hypothroid, euthyroid and hyperthyroid patients | 2011 | 1 |
| 18 | Rekomendacje diagnostyki i leczenia guzów neuroendokrynnych jajnika | 2010 | 0 |
| 19 | Consensus statement of the Polish Society for Endocrinology: presurgical somatostatin analogs therapy in acromegaly. | 2008 | 6 |
| 20 | Circadian variation of corticosterone in adrenal vein blood in rats exposed to different light conditions | 1993 | 1 |
About Beata Kos‐Kudła
Beata Kos‐Kudła is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Epidemiology, Oncology and Neurology, having authored 243 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (93 papers), Lung Cancer Research Studies (59 papers), Neuroblastoma Research and Treatments (39 papers), Growth Hormone and Insulin-like Growth Factors (35 papers), Pituitary Gland Disorders and Treatments (26 papers), Pancreatic and Hepatic Oncology Research (24 papers), Thyroid Disorders and Treatments (24 papers) and Ophthalmology and Eye Disorders (19 papers). The work is most often cited by research in Neurology (1.7k citations), Oncology (2.6k citations), Epidemiology (3.0k citations), Endocrine and Autonomic Systems (317 citations) and Endocrinology, Diabetes and Metabolism (612 citations). Beata Kos‐Kudła has collaborated with scholars based in Poland, Sweden and Germany. Frequent co-authors include Bogdan Marek, Dariusz Kajdaniuk, Dik J. Kwekkeboom, Mariusz Nowak, Zofia Ostrowska, Lucyna Siemińśka, Guido Rindi, Massimo Falconi, Réza Kianmanesh and Gregory Kaltsas. Their work appears in journals such as Neuroendocrinology, Cancers, Journal of Neuroendocrinology, Clinical and Experimental Medicine and Endocrine Connections.
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.