E Gubała

905 total citations
37 papers, 702 citations indexed

About

E Gubała is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, E Gubała has authored 37 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in E Gubała's work include Thyroid Cancer Diagnosis and Treatment (20 papers), Thyroid Disorders and Treatments (7 papers) and Bioinformatics and Genomic Networks (5 papers). E Gubała is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (20 papers), Thyroid Disorders and Treatments (7 papers) and Bioinformatics and Genomic Networks (5 papers). E Gubała collaborates with scholars based in Poland, United States and Germany. E Gubała's 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 and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

E Gubała

36 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Gubała Poland 14 386 276 116 113 104 37 702
E. D. Cherstvoy Belarus 15 384 1.0× 267 1.0× 168 1.4× 251 2.2× 163 1.6× 23 820
Jean Kao United States 10 184 0.5× 286 1.0× 98 0.8× 39 0.3× 69 0.7× 12 559
Norbert Drieschner Germany 12 131 0.3× 206 0.7× 66 0.6× 83 0.7× 53 0.5× 20 608
Paul V. Newcomb United Kingdom 11 304 0.8× 281 1.0× 79 0.7× 57 0.5× 157 1.5× 13 597
Salma Amin United Kingdom 14 180 0.5× 140 0.5× 158 1.4× 37 0.3× 316 3.0× 23 607
Yasuyuki Satoh Japan 10 118 0.3× 184 0.7× 43 0.4× 53 0.5× 150 1.4× 19 387
Géraldine Cizeron-Clairac France 16 141 0.4× 472 1.7× 71 0.6× 80 0.7× 202 1.9× 16 1.1k
Manfred Bauchinger Germany 16 185 0.5× 364 1.3× 42 0.4× 232 2.1× 249 2.4× 25 849
Florence Dastot France 16 764 2.0× 385 1.4× 129 1.1× 487 4.3× 73 0.7× 19 1.0k
Alba Mineo Italy 11 110 0.3× 207 0.8× 99 0.9× 56 0.5× 111 1.1× 13 445

Countries citing papers authored by E Gubała

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Handkiewicz-Junak, Daria, Tomasz Gawlik, Zbigniew Puch, et al.. (2015). Recombinant human thyrotropin preparation for adjuvant radioiodine treatment in children and adolescents with differentiated thyroid cancer. European Journal of Endocrinology. 173(6). 873–881. 9 indexed citations
3.
Gawlik, Tomasz, Andrea d’Amico, Sylwia Szpak‐Ulczok, et al.. (2010). The prognostic value of tumor markers doubling time in medullary thyroid carcinoma - preliminary report. Thyroid Research. 3(1). 10–10. 20 indexed citations
4.
Kukulska, Aleksandra, Jolanta Krajewska, Zbigniew Puch, et al.. (2010). Radioiodine thyroid remnant ablation in patients with differentiated thyroid carcinoma (DTC): prospective comparison of long-term outcomes of treatment with 30, 60 and 100 mCi. Thyroid Research. 3(1). 9–9. 49 indexed citations
5.
Jarząb, Jerzy, Małgorzata Kowalska, Andrzej Bożek, et al.. (2009). Locus 1q21 Gene Expression Changes in Atopic Dermatitis Skin Lesions: Deregulation of Small Proline-Rich Region 1A. International Archives of Allergy and Immunology. 151(1). 28–37. 27 indexed citations
6.
Jarząb, Barbara, et al.. (2009). Postnatal Treatment of Rats with Beta-adrenergic Agonists or Antagonists Influences Differentiation of Sexual Brain Functions*). Experimental and Clinical Endocrinology & Diabetes. 94(04/05). 61–72. 1 indexed citations
7.
Olakowski, Marek, Tomasz Tyszkiewicz, Michał Jarząb, et al.. (2009). NBL1 and anillin (ANLN) genes over-expression in pancreatic carcinoma.. Folia Histochemica et Cytobiologica. 47(2). 249–55. 45 indexed citations
8.
Döhler, K.-D., et al.. (2009). Influence of Neurotransmitters on Sexual Differentiation of Brain Structure and Function. Experimental and Clinical Endocrinology & Diabetes. 98(5). 99–109. 13 indexed citations
9.
Rusinek, Dagmara & E Gubała. (2007). [BRAF initiating mutations in the papillary thyroid carcinoma].. PubMed. 57(4). 438–44. 4 indexed citations
10.
Wygoda, Zbigniew, Małgorzata Oczko‐Wojciechowska, E Gubała, et al.. (2007). [Medullary thyroid carcinoma: the comparison of the hereditary and sporadic types of cancer].. PubMed. 57(4). 407–14. 2 indexed citations
11.
Kula, Dorota, Tomasz Bednarczuk, Beata Jurecka‐Lubieniecka, et al.. (2006). Interaction of HLA-DRB1 Alleles with CTLA-4 in the Predisposition to Graves' Disease: The Impact of DRB1*07. Thyroid. 16(5). 447–453. 26 indexed citations
12.
Gubała, E, Małgorzata Wiench, Małgorzata Oczko‐Wojciechowska, et al.. (2006). [Gene expression analysis by DNA microarray in papillary thyroid cancer].. PubMed. 56(5). 752–7. 6 indexed citations
13.
Jarząb, Michał, Agnieszka Pawlaczek, Małgorzata Oczko‐Wojciechowska, et al.. (2006). [Expression of DPP4 gene in papillary thyroid carcinoma].. PubMed. 57 Suppl A. 12–7. 7 indexed citations
14.
Szpak‐Ulczok, Sylwia, et al.. (2006). [Expression of selected genes involved in transport of ions in papillary thyroid carcinoma].. PubMed. 57 Suppl A. 26–31. 13 indexed citations
15.
Wiench, Małgorzata, Jan Włoch, Zbigniew Wygoda, et al.. (2004). RET polymorphisms in codons 769 and 836 are not associated with predisposition to medullary thyroid carcinoma. Cancer Detection and Prevention. 28(4). 231–236. 25 indexed citations
16.
Czarnocka, Barbara, Anthony P. Weetman, P. F. Watson, et al.. (2001). Is there loss or qualitative changes in the expression of thyroid peroxidase protein in thyroid epithelial cancer?. British Journal of Cancer. 85(6). 875–880. 19 indexed citations
17.
Wiench, Małgorzata, et al.. (2001). Papillary thyroid carcinoma: RET/PTC rearrangement as age-related lesion. European Journal of Cancer. 37. S25–S25. 1 indexed citations
18.
Wiench, Małgorzata, et al.. (2001). [Rearrangement of the RET gene in papillary thyroid carcinoma].. PubMed. 54 Suppl 1. 64–71. 8 indexed citations
19.
20.
Jarząb, Barbara, et al.. (1989). Postnatal treatment with the β-adrenergic agonist isoprenaline influences steroid-induced LH release in adult female rats. European Journal of Endocrinology. 120(3_Suppl). S227–S228. 1 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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