Kosma Woliński

1.1k total citations
49 papers, 724 citations indexed

About

Kosma Woliński is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Kosma Woliński has authored 49 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Surgery and 13 papers in Epidemiology. Recurrent topics in Kosma Woliński's work include Thyroid Cancer Diagnosis and Treatment (28 papers), Neuroendocrine Tumor Research Advances (12 papers) and Thyroid Disorders and Treatments (12 papers). Kosma Woliński is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (28 papers), Neuroendocrine Tumor Research Advances (12 papers) and Thyroid Disorders and Treatments (12 papers). Kosma Woliński collaborates with scholars based in Poland and Netherlands. Kosma Woliński's co-authors include Marek Ruchała, Agata Czarnywojtek, Adam Stangierski, Ewelina Szczepanek‐Parulska, Edyta Gurgul, Nadia Sawicka‐Gutaj, Przemysław Majewski, Joanna Waligórska‐Stachura, Paweł Gut and Maciej Bączyk and has published in prestigious journals such as PLoS ONE, BioMed Research International and European Radiology.

In The Last Decade

Kosma Woliński

45 papers receiving 705 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kosma Woliński Poland 17 551 257 135 94 92 49 724
Giovanni Carbotta Italy 16 364 0.7× 235 0.9× 78 0.6× 64 0.7× 79 0.9× 32 613
Christian Vorländer Germany 13 336 0.6× 203 0.8× 64 0.5× 55 0.6× 42 0.5× 26 503
Krzysztof Kaliszewski Poland 18 380 0.7× 436 1.7× 70 0.5× 75 0.8× 101 1.1× 76 756
Carlo Enrico Ambrosini Italy 14 336 0.6× 434 1.7× 59 0.4× 19 0.2× 42 0.5× 45 552
Ferihan Aral Türkiye 14 300 0.5× 214 0.8× 33 0.2× 62 0.7× 68 0.7× 38 520
Ye An Kim South Korea 14 352 0.6× 78 0.3× 67 0.5× 161 1.7× 53 0.6× 40 673
Guangcheng Zhang China 11 103 0.2× 191 0.7× 75 0.6× 110 1.2× 36 0.4× 27 520
S. T. Harris United States 10 88 0.2× 218 0.8× 69 0.5× 173 1.8× 34 0.4× 22 775
Bruno Laroche Canada 13 172 0.3× 78 0.3× 33 0.2× 80 0.9× 35 0.4× 28 515
Elena de Dios Spain 14 169 0.3× 171 0.7× 126 0.9× 107 1.1× 91 1.0× 67 579

Countries citing papers authored by Kosma Woliński

Since Specialization
Citations

This map shows the geographic impact of Kosma Woliński'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 Kosma Woliński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosma Woliński more than expected).

Fields of papers citing papers by Kosma Woliński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kosma Woliński. 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 Kosma Woliński. The network helps show where Kosma Woliński may publish in the future.

Co-authorship network of co-authors of Kosma Woliński

This figure shows the co-authorship network connecting the top 25 collaborators of Kosma Woliński. A scholar is included among the top collaborators of Kosma Woliński 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 Kosma Woliński. Kosma Woliński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bakuła‐Zalewska, Elwira, Krzysztof Goryca, Agnieszka Paziewska, et al.. (2021). Higher EU-TIRADS-Score Correlated with BRAF V600E Positivity in the Early Stage of Papillary Thyroid Carcinoma. Journal of Clinical Medicine. 10(11). 2304–2304. 4 indexed citations
2.
Czarnywojtek, Agata, Nadia Sawicka‐Gutaj, Kosma Woliński, et al.. (2021). Is low radioiodine uptake a contraindication to radioiodine therapy in patients with benign thyroid disease?. Advances in Clinical and Experimental Medicine. 30(4). 369–378.
3.
Gut, Paweł, et al.. (2021). Determination of neuron-specific enolase in patients with midgut-type tumour treated with somatostatin analogues. Endokrynologia Polska. 72(4). 308–318. 5 indexed citations
4.
Sawicka‐Gutaj, Nadia, Agata Czarnywojtek, Kosma Woliński, et al.. (2020). Radioiodine therapy and Graves’ disease – Myths and reality. PLoS ONE. 15(1). e0226495–e0226495. 6 indexed citations
5.
Stangierski, Adam, Kosma Woliński, & Marek Ruchała. (2018). Shear wave elastography in the diagnostics of parathyroid adenomas–new application of the method. Endocrine. 60(2). 240–245. 9 indexed citations
6.
Gabryel, Piotr, Maciej Trojanowski, Kosma Woliński, et al.. (2018). Klotho expression and nodal involvement as predictive factors for large cell lung carcinoma. Archives of Medical Science. 15(4). 1010–1016. 9 indexed citations
7.
Gut, Paweł, Agata Czarnywojtek, Katarzyna Ziemnicka, et al.. (2018). Incidence of pituitary autoantibodies in idiopathic diabetes insipidus. Central European Journal of Immunology. 43(4). 428–433. 1 indexed citations
8.
Czarnywojtek, Agata, Nadia Sawicka‐Gutaj, Izabela Miechowicz, et al.. (2018). Rozpiętość rozkładu objętości erytrocytów — nowy marker zaostrzenia niewydolności krążenia u pacjentów z niedoczynnością tarczycy po leczeniu jodem promieniotwórczym. Endokrynologia Polska. 69(3). 235–240. 3 indexed citations
9.
Czarnywojtek, Agata, et al.. (2018). The effects of cannabinoids on the endocrine system. Endokrynologia Polska. 69(6). 705–719. 43 indexed citations
10.
11.
Woliński, Kosma, et al.. (2017). Zmiany ogniskowe w tarczycy u pacjentów z akromegalią — badanie kliniczno-kontrolne oraz aktualizacja metaanalizy. Endokrynologia Polska. 68(1). 2–6. 16 indexed citations
12.
Gut, Paweł, Joanna Waligórska‐Stachura, Agata Czarnywojtek, et al.. (2016). Management of the hormonal syndrome of neuroendocrine tumors. Archives of Medical Science. 3(3). 515–524. 22 indexed citations
13.
Woliński, Kosma, Adam Stangierski, Ewelina Szczepanek‐Parulska, et al.. (2016). VEGF-C Is a Thyroid Marker of Malignancy Superior to VEGF-A in the Differential Diagnostics of Thyroid Lesions. PLoS ONE. 11(2). e0150124–e0150124. 3 indexed citations
14.
Czarnywojtek, Agata, Małgorzata Zgorzalewicz-Stachowiak, Kosma Woliński, et al.. (2016). Dysfunction of the thyroid gland during amiodarone therapy: a study of 297 cases. Therapeutics and Clinical Risk Management. 12. 505–505. 14 indexed citations
15.
Woliński, Kosma, Adam Stangierski, Katia Dyrda, et al.. (2016). Risk of malignant neoplasms in acromegaly: a case–control study. Journal of Endocrinological Investigation. 40(3). 319–322. 34 indexed citations
16.
Szczepanek‐Parulska, Ewelina, et al.. (2016). Does TSH Trigger the Anti-thyroid Autoimmune Processes? Observation on a Large Cohort of Naive Patients with Thyroid Hemiagenesis. Archivum Immunologiae et Therapiae Experimentalis. 64(4). 331–338. 7 indexed citations
17.
Woliński, Kosma, Adam Stangierski, & Marek Ruchała. (2016). Comparison of diagnostic yield of core-needle and fine-needle aspiration biopsies of thyroid lesions: Systematic review and meta-analysis. European Radiology. 27(1). 431–436. 30 indexed citations
18.
19.
Stangierski, Adam, Kosma Woliński, Rafał Czepczyński, et al.. (2014). The Usefulness of Standardized Uptake Value in Differentiation between Benign and Malignant Thyroid Lesions Detected Incidentally in 18F-FDG PET/CT Examination. PLoS ONE. 9(10). e109612–e109612. 21 indexed citations
20.
Ruchała, Marek, et al.. (2012). Risk of neoplasms in acromegaly [Polish version: Ryzyko rozwoju nowotworów w akromegalii p. 118]. Współczesna Onkologia. 2(2). 111–124. 18 indexed citations

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.

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