E Gubała
- Co-authors
- Barbara JarząbJan WłochMałgorzata WienchMichał JarząbDariusz LangeSylwia Szpak‐UlczokMałgorzata Oczko‐WojciechowskaAgnieszka Pawlaczek
- Topics
- Thyroid Cancer Diagnosis and Treatment (20 papers)Thyroid Disorders and Treatments (7 papers)Bioinformatics and Genomic Networks (5 papers)
- Journals
- Journal of Clinical OncologyThe Journal of Clinical Endocrinology & MetabolismCancer Research
- Partner nations
- PolandUnited StatesGermany
In The Last Decade
E Gubała
36 papers receiving 683 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 386
- Molecular Biology 276
- Surgery 116
- Genetics 113
- Oncology 104
Countries citing papers authored by E Gubała
This map shows the geographic impact of E Gubała'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 E Gubała with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Gubała more than expected).
Fields of papers citing papers by E Gubała
This network shows the impact of papers produced by E Gubała. 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 E Gubała. The network helps show where E Gubała may publish in the future.
Co-authorship network of co-authors of E Gubała
This figure shows the co-authorship network connecting the top 25 collaborators of E Gubała. A scholar is included among the top collaborators of E Gubała 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 E Gubała. E Gubała is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 49 | |
| 5 | 27 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | 13 | |
| 9 | [BRAF initiating mutations in the papillary thyroid carcinoma]. | 4 |
| 10 | [Medullary thyroid carcinoma: the comparison of the hereditary and sporadic types of cancer]. | 2 |
| 11 | 26 | |
| 12 | [Gene expression analysis by DNA microarray in papillary thyroid cancer]. | 6 |
| 13 | [Expression of DPP4 gene in papillary thyroid carcinoma]. | 7 |
| 14 | [Expression of selected genes involved in transport of ions in papillary thyroid carcinoma]. | 13 |
| 15 | 25 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | [Rearrangement of the RET gene in papillary thyroid carcinoma]. | 8 |
| 19 | 17 | |
| 20 | 1 |
About E Gubała
E Gubała is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 37 papers that have together received 702 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Thyroid Disorders and Treatments (7 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Cancer Research (88 citations) and Genetics (113 citations). E Gubała has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Barbara Jarząb, Jan Włoch, Małgorzata Wiench, Michał Jarząb, Dariusz Lange, Sylwia Szpak‐Ulczok, Małgorzata Oczko‐Wojciechowska, Agnieszka Pawlaczek, Ewa Chmielik and Agnieszka Czarniecka. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer 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.