Anna Jonkisz

1.0k total citations
43 papers, 504 citations indexed

About

Anna Jonkisz is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Anna Jonkisz has authored 43 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Anna Jonkisz's work include Forensic and Genetic Research (6 papers), Diabetes and associated disorders (5 papers) and T-cell and B-cell Immunology (5 papers). Anna Jonkisz is often cited by papers focused on Forensic and Genetic Research (6 papers), Diabetes and associated disorders (5 papers) and T-cell and B-cell Immunology (5 papers). Anna Jonkisz collaborates with scholars based in Poland, Germany and Croatia. Anna Jonkisz's co-authors include Edyta Pawlak, Lidia Karabon, Irena Frydecka, Tadeusz Dobosz, Anna Tomkiewicz, Jacek Daroszewski, Marek Bolanowski, Małgorzata Małodobra-Mazur, Jan Aleksander Beszłej and Anna Partyka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Actuators B Chemical and Journal of Periodontology.

In The Last Decade

Anna Jonkisz

40 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Jonkisz Poland 13 192 145 114 105 48 43 504
Masashi Takamura Japan 23 680 3.5× 54 0.4× 28 0.2× 60 0.6× 63 1.3× 54 1.4k
Antonio Azzarà Italy 13 120 0.6× 84 0.6× 109 1.0× 110 1.0× 26 0.5× 50 495
Kathryn L. Pellegrini United States 9 126 0.7× 32 0.2× 84 0.7× 181 1.7× 31 0.6× 13 475
Alice A. Bickerstaff United States 13 286 1.5× 26 0.2× 71 0.6× 104 1.0× 23 0.5× 23 643
Graham P. Wright United Kingdom 14 410 2.1× 135 0.9× 297 2.6× 145 1.4× 46 1.0× 20 725
Bibiana Quirant‐Sánchez Spain 14 171 0.9× 50 0.3× 53 0.5× 71 0.7× 104 2.2× 36 392
Jindra Vrzalová Czechia 14 49 0.3× 27 0.2× 111 1.0× 124 1.2× 52 1.1× 33 471
Téreza Coman France 12 241 1.3× 21 0.1× 145 1.3× 92 0.9× 21 0.4× 29 501
Hasan Bağcı Türkiye 17 100 0.5× 91 0.6× 42 0.4× 310 3.0× 65 1.4× 42 667
Ming Yuan China 16 434 2.3× 47 0.3× 51 0.4× 240 2.3× 64 1.3× 58 950

Countries citing papers authored by Anna Jonkisz

Since Specialization
Citations

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

Fields of papers citing papers by Anna Jonkisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Jonkisz

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Jonkisz. A scholar is included among the top collaborators of Anna Jonkisz 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 Anna Jonkisz. Anna Jonkisz 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.
Wołowiec, Dariusz, Barbara Wysoczańska, Piotr Łacina, et al.. (2021). NF-κB1 -94del/del ATTG polymorphic variant maintains CLL at an early, mildest stage. Advances in Clinical and Experimental Medicine. 30(5). 499–506.
2.
3.
Małodobra-Mazur, Małgorzata, et al.. (2020). Polymorphisms of the MTHFR gene in mothers of children with trisomy 21 (Down syndrome) in a Polish population. Advances in Clinical and Experimental Medicine. 29(2). 251–256. 9 indexed citations
4.
Wiśniewski, Jerzy, Anna Jonkisz, Andrzej Gamian, et al.. (2019). Distribution of polymorphisms in the CYP2C19 and ABCB1 genes among patients with acute coronary syndrome in Lower Silesian population. Advances in Clinical and Experimental Medicine. 28(12). 1621–1626. 3 indexed citations
5.
Gać, Paweł, Rafał Poręba, Anna Jonkisz, et al.. (2016). Genetic variability in the system of natriuretic B peptide and principal toxicological parameters in workers exposed to lead. Environmental Toxicology and Pharmacology. 49. 74–80. 1 indexed citations
6.
Jonkisz, Anna, et al.. (2016). First successful DNA isolation and profiling from bone using an approach that is non-destructive toward bone surface. SHILAP Revista de lepidopterología. 1(1). 65–70. 1 indexed citations
7.
Pawlak, Edyta, Irena Frydecka, Marek Bolanowski, et al.. (2016). CD28/CTLA-4/ICOS haplotypes confers susceptibility to Graves’ disease and modulates clinical phenotype of disease. Endocrine. 55(1). 186–199. 23 indexed citations
8.
Frydecka, Dorota, Jan Aleksander Beszłej, Edyta Pawlak, et al.. (2015). <b><i>CTLA4</i></b> and <b><i>CD28</i></b> Gene Polymorphisms with Respect to Affective Symptom Domain in Schizophrenia. Neuropsychobiology. 71(3). 158–167. 7 indexed citations
9.
Mucha, Anna, et al.. (2014). Genetic differentiation between West and East European Karyotypic groups of Sorex araneus (Soricomorpha) in Poland. 17(2). 1 indexed citations
10.
Frydecka, Dorota, Błażej Misiak, Jan Aleksander Beszłej, et al.. (2013). Genetic variants in transforming growth factor-β gene (TGFB1) affect susceptibility to schizophrenia. Molecular Biology Reports. 40(10). 5607–5614. 40 indexed citations
11.
Sołtyszewski, Ireneusz, Witold Pepiński, Paulina Wolañska‐Nowak, et al.. (2013). Polish population data on 15 autosomal STRs of AmpFlSTR NGM PCR kit. Forensic Science International Genetics. 9. 142–149. 4 indexed citations
12.
Herbut, Piotr, et al.. (2011). The low temperature co-fired ceramics (LTCC) chip for polymerase chain reaction (PCR) application. Optica Applicata. 41. 9 indexed citations
13.
Karabon, Lidia, Edyta Pawlak, Anna Tomkiewicz, et al.. (2011). Variations in Suppressor Molecule CTLA-4 Gene Are Related to Susceptibility to Multiple Myeloma in a Polish Population. Pathology & Oncology Research. 18(2). 219–226. 31 indexed citations
14.
Karpiński, Paweł, Elżbieta Szmida, Błażej Misiak, et al.. (2011). Assessment of three epigenotypes in colorectal cancer by combined bisulfite restriction analysis. Molecular Carcinogenesis. 51(12). 1003–1008. 14 indexed citations
15.
Lewandowski, Krzysztof, Joanna Rupa‐Matysek, Tadeusz Dobosz, et al.. (2010). Donor-derived DNA in hair follicles of recipients after allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplantation. 45(11). 1638–1644. 10 indexed citations
16.
Pawlak, Edyta, Lidia Karabon, Anna Jonkisz, et al.. (2009). Influence of CTLA-4/CD28/ICOS gene polymorphisms on the susceptibility to cervical squamous cell carcinoma and stage of differentiation in the Polish population. Human Immunology. 71(2). 195–200. 59 indexed citations
17.
Karabon, Lidia, Agata Kosmaczewska, Małgorzata Bilińska, et al.. (2009). The CTLA‐4 gene polymorphisms are associated with CTLA‐4 protein expression levels in multiple sclerosis patients and with susceptibility to disease. Immunology. 128(1pt2). e787–96. 41 indexed citations
18.
Daroszewski, Jacek, Edyta Pawlak, Lidia Karabon, et al.. (2009). Soluble CTLA-4 receptor an immunological marker of Graves' disease and severity of ophthalmopathy is associated with CTLA-4 Jo31 and CT60 gene polymorphisms. European Journal of Endocrinology. 161(5). 787–793. 52 indexed citations
19.
Skoczyńska, Anna, Tadeusz Dobosz, Rafał Poręba, et al.. (2005). The dependence of serum interleukin-6 level on PPAR-alpha polymorphism in men with coronary atherosclerosis. European Journal of Internal Medicine. 16(7). 501–506. 15 indexed citations
20.

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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