Nikola Tom

819 total citations
24 papers, 293 citations indexed

About

Nikola Tom is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Nikola Tom has authored 24 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Nikola Tom's work include Chronic Lymphocytic Leukemia Research (10 papers), Advanced Breast Cancer Therapies (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). Nikola Tom is often cited by papers focused on Chronic Lymphocytic Leukemia Research (10 papers), Advanced Breast Cancer Therapies (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). Nikola Tom collaborates with scholars based in Czechia, Denmark and Austria. Nikola Tom's co-authors include Jiřı́ Mayer, Jitka Malčíková, Šárka Pavlová, Michael Doubek, Šárka Pospı́šilová, Lenka Radová, Karla Plevová, Boris Tichý, Martin Trbušek and Jana Šmardová and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Nikola Tom

23 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikola Tom Czechia 9 195 117 90 87 68 24 293
Alexandra Oltová Czechia 10 150 0.8× 90 0.8× 120 1.3× 135 1.6× 87 1.3× 22 302
Mark D. Ewalt United States 12 124 0.6× 62 0.5× 132 1.5× 137 1.6× 47 0.7× 31 340
Adéla Berková Czechia 11 140 0.7× 127 1.1× 172 1.9× 66 0.8× 76 1.1× 26 391
Pascaline Etancelin France 9 125 0.6× 162 1.4× 107 1.2× 154 1.8× 92 1.4× 27 360
G. García-Manero United States 8 162 0.8× 80 0.7× 111 1.2× 139 1.6× 64 0.9× 24 329
Ilaria Silvestris Italy 9 98 0.5× 70 0.6× 124 1.4× 68 0.8× 56 0.8× 23 281
Marianna Rossi Italy 7 141 0.7× 75 0.6× 83 0.9× 97 1.1× 33 0.5× 19 226
Kateřina Staňo Kozubík Czechia 8 116 0.6× 83 0.7× 121 1.3× 47 0.5× 55 0.8× 19 297
Steve Pavletic United States 5 146 0.7× 80 0.7× 127 1.4× 163 1.9× 73 1.1× 5 386
Stéphanie Guidez France 10 134 0.7× 172 1.5× 126 1.4× 170 2.0× 155 2.3× 45 387

Countries citing papers authored by Nikola Tom

Since Specialization
Citations

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

Fields of papers citing papers by Nikola Tom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikola Tom

This figure shows the co-authorship network connecting the top 25 collaborators of Nikola Tom. A scholar is included among the top collaborators of Nikola Tom 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 Nikola Tom. Nikola Tom 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.
Tom, Nikola, Ann-Sofie Nilsson, Jens Andersen, et al.. (2024). Exploring the structural landscape of DNA maintenance proteins. Nature Communications. 15(1). 7748–7748. 2 indexed citations
2.
Pospíšilová, Petra, Darina Čejková, Lenka Mikalová, et al.. (2024). The hare syphilis agent is related to, but distinct from, the treponeme causing rabbit syphilis. PLoS ONE. 19(8). e0307196–e0307196.
3.
Hvid, Henning, Henrik Birn, Simon Glerup, et al.. (2024). Lack of renoprotective effects by long-term PCSK9 and SGLT2 inhibition using alirocumab and empagliflozin in obese ZSF1 rats. American Journal of Physiology-Renal Physiology. 328(1). F48–F67. 5 indexed citations
4.
Roos, Christian, Nikola Tom, Darina Čejková, et al.. (2023). The genomes of the yaws bacterium, Treponema pallidum subsp. pertenue, of nonhuman primate and human origin are not genomically distinct. PLoS neglected tropical diseases. 17(9). e0011602–e0011602. 5 indexed citations
5.
Tom, Nikola, et al.. (2023). Complete genome sequences of five Escherichia coli strains with probiotic attributes. Microbiology Resource Announcements. 12(9). e0036323–e0036323. 1 indexed citations
6.
Tom, Nikola, Xi Chen, Antonio Colaprico, et al.. (2023). A workflow to study mechanistic indicators for driver gene prediction with Moonlight. Briefings in Bioinformatics. 24(5). 5 indexed citations
7.
Plevová, Karla, Šárka Pavlová, Jitka Malčíková, et al.. (2022). Evolution of TP53 abnormalities during CLL disease course is associated with telomere length changes. BMC Cancer. 22(1). 137–137. 3 indexed citations
8.
Malčíková, Jitka, Šárka Pavlová, Lenka Radová, et al.. (2021). Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options. Blood. 138(25). 2670–2685. 24 indexed citations
9.
Romžová, Marianna, Nikola Tom, Tomáš Loja, et al.. (2021). Hierarchical distribution of somatic variants in newly diagnosed chronic myeloid leukaemia at diagnosis and early follow‐up. British Journal of Haematology. 194(3). 604–612. 2 indexed citations
10.
Romžová, Marianna, Nikola Tom, Tomáš Jurček, et al.. (2020). Novel Illumina‐based next generation sequencing approach with one‐round amplification provides early and reliable detection of BCR‐ABL1 kinase domain mutations in chronic myeloid leukemia. British Journal of Haematology. 189(3). 469–474. 6 indexed citations
11.
12.
Hernández‐Sánchez, María, Jana Kotašková, Lenka Radová, et al.. (2018). CLL cells cumulate genetic aberrations prior to the first therapy even in outwardly inactive disease phase. Leukemia. 33(2). 518–558. 10 indexed citations
13.
Loja, Tomáš, Nikola Tom, Vojtěch Bystrý, et al.. (2018). The influence of mutational status and biological characteristics of acute myeloid leukemia on xenotransplantation outcomes in NOD SCID gamma mice. Journal of Cancer Research and Clinical Oncology. 144(7). 1239–1251. 5 indexed citations
14.
Pavlová, Šárka, Jana Šmardová, Nikola Tom, & Martin Trbušek. (2018). Detection and Functional Analysis of TP53 Mutations in CLL. Methods in molecular biology. 1881. 63–81. 8 indexed citations
15.
Tom, Nikola, Jitka Malčíková, Šárka Pavlová, et al.. (2018). ToTem: a tool for variant calling pipeline optimization. BMC Bioinformatics. 19(1). 243–243. 1 indexed citations
16.
Réblová, Kamila, Veronika Svobodová, Lenka Radová, et al.. (2018). Activation-induced deaminase and its splice variants associate with trisomy 12 in chronic lymphocytic leukemia. Annals of Hematology. 98(2). 423–435. 1 indexed citations
17.
Kubešová, Blanka, Šárka Pavlová, Jitka Malčíková, et al.. (2017). Low-burden TP53 mutations in chronic phase of myeloproliferative neoplasms: association with age, hydroxyurea administration, disease type and JAK2 mutational status. Leukemia. 32(2). 450–461. 49 indexed citations
18.
Basu, Arindam, Nikola Tom, Lenka Radová, et al.. (2017). Transcription factor YY1 can control AID‐mediated mutagenesis in mice. European Journal of Immunology. 48(2). 273–282. 3 indexed citations
19.
Malčíková, Jitka, Kateřina Staňo Kozubík, Boris Tichý, et al.. (2014). Detailed analysis of therapy-driven clonal evolution of TP53 mutations in chronic lymphocytic leukemia. Leukemia. 29(4). 877–885. 106 indexed citations
20.
Kantorová, Barbara, Jitka Malčíková, Jana Šmardová, et al.. (2014). TP53 mutation analysis in chronic lymphocytic leukemia: comparison of different detection methods. Tumor Biology. 36(5). 3371–3380. 9 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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