Tomáš Adam

2.0k total citations
97 papers, 1.6k citations indexed

About

Tomáš Adam is a scholar working on Molecular Biology, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Tomáš Adam has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 22 papers in Clinical Biochemistry and 17 papers in Epidemiology. Recurrent topics in Tomáš Adam's work include Biochemical and Molecular Research (24 papers), Metabolism and Genetic Disorders (22 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Tomáš Adam is often cited by papers focused on Biochemical and Molecular Research (24 papers), Metabolism and Genetic Disorders (22 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Tomáš Adam collaborates with scholars based in Czechia, Slovakia and United Kingdom. Tomáš Adam's co-authors include David Friedecký, Lukáš Najdekr, Hana Janečková, Per Bruheim, Petr Barták, Edgar Faber, Juraj Ševčı́k, Silas G. Villas‐Bôas, Trygve Andreassen and Hans Fredrik Nyvold Kvitvang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Tomáš Adam

95 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Adam Czechia 23 780 261 233 220 135 97 1.6k
David Friedecký Czechia 21 632 0.8× 144 0.6× 139 0.6× 166 0.8× 128 0.9× 113 1.3k
Alessia Lodi United States 26 1.3k 1.6× 231 0.9× 94 0.4× 44 0.2× 226 1.7× 67 2.1k
Stefano Tiziani United States 26 1.7k 2.2× 176 0.7× 176 0.8× 49 0.2× 379 2.8× 80 3.0k
Paul Voziyan United States 29 956 1.2× 96 0.4× 56 0.2× 747 3.4× 124 0.9× 60 2.3k
Helena Idborg Sweden 21 645 0.8× 272 1.0× 115 0.5× 35 0.2× 188 1.4× 57 1.3k
Keith L. Clay United States 26 697 0.9× 223 0.9× 40 0.2× 78 0.4× 54 0.4× 56 2.1k
B. Kevin Park United Kingdom 25 786 1.0× 62 0.2× 106 0.5× 78 0.4× 198 1.5× 36 2.5k
Olga Oskolkova Austria 28 1.8k 2.3× 227 0.9× 54 0.2× 131 0.6× 38 0.3× 59 3.0k
Klaus Altland Germany 27 1.2k 1.6× 191 0.7× 182 0.8× 35 0.2× 75 0.6× 85 1.9k
Johannes F. Fahrmann United States 31 2.1k 2.7× 186 0.7× 167 0.7× 40 0.2× 65 0.5× 90 3.6k

Countries citing papers authored by Tomáš Adam

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Adam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Adam. A scholar is included among the top collaborators of Tomáš Adam 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 Tomáš Adam. Tomáš Adam 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.
Bekárek, Vojtěch, et al.. (2023). Rapid and efficient LC-MS/MS diagnosis of inherited metabolic disorders: a semi-automated workflow for analysis of organic acids, acylglycines, and acylcarnitines in urine. Clinical Chemistry and Laboratory Medicine (CCLM). 61(11). 2017–2027. 7 indexed citations
2.
Brumarová, Radana, et al.. (2022). Combined Targeted and Untargeted Profiling of HeLa Cells Deficient in Purine De Novo Synthesis. Metabolites. 12(3). 241–241. 3 indexed citations
3.
Barešová, Veronika, et al.. (2018). Mass spectrometric analysis of purine de novo biosynthesis intermediates. PLoS ONE. 13(12). e0208947–e0208947. 18 indexed citations
4.
5.
Táborský, Miloš, et al.. (2017). Red or white wine consumption effect on atherosclerosis in healthy individuals (In Vino Veritas study). Bratislavské lekárske listy/Bratislava medical journal. 118(5). 292–298. 20 indexed citations
6.
Melichar, Bohuslav, David Vrána, Tomáš Adam, et al.. (2017). Neoadjuvant combination therapy with trastuzumab in a breast cancer patient with synchronous rectal carcinoma: a case report and biomarker study. Pteridines. 28(3-4). 233–241. 1 indexed citations
7.
Hutyra, Martin, Daniel Šaňák, Michal Král, et al.. (2017). Role of echocardiography and cardiac biomarkers in prediction of in-hospital mortality and long-term risk of brain infarction in pulmonary embolism patients. Cor et Vasa. 60(2). e105–e113. 1 indexed citations
8.
Camateros, Pierre, Cynthia Kanagaratham, Lukáš Najdekr, et al.. (2017). Toll-Like Receptor 7/8 Ligand, S28463, Suppresses Ascaris suum –induced Allergic Asthma in Nonhuman Primates. American Journal of Respiratory Cell and Molecular Biology. 58(1). 55–65. 5 indexed citations
9.
Vrobel, Ivo, David Friedecký, Edgar Faber, et al.. (2017). Novel sulphur-containing imatinib metabolites found by untargeted LC-HRMS analysis. European Journal of Pharmaceutical Sciences. 104. 335–343. 8 indexed citations
10.
Adam, Tomáš, Lenka Kujovská Krčmová, Dagmar Solichová, et al.. (2016). Prognostic Significance of Serum and Urinary Neopterin Concentrations in Patients with Rectal Carcinoma Treated with Chemoradiation.. PubMed. 36(1). 287–92. 7 indexed citations
11.
Študentová, Hana, Tomáš Adam, Lenka Kujovská Krčmová, et al.. (2015). Correlations of neutrophil-to-lymphocyte, lymphocyte-to-monocyte and platelet-to-lymphocyte ratios with biomarkers of atherosclerosis risk and inflammatory response in patients with a history of breast cancer. SHILAP Revista de lepidopterología. 26(4). 161–172. 7 indexed citations
12.
Študentová, Hana, et al.. (2015). Risk factors of atherosclerosis during systemic therapy targeting vascular endothelial growth factor. Oncology Letters. 11(2). 939–944. 13 indexed citations
13.
Kanagaratham, Cynthia, Lukáš Najdekr, David Friedecký, et al.. (2014). Fenretinide Prevents Inflammation and Airway Hyperresponsiveness in a Mouse Model of Allergic Asthma. American Journal of Respiratory Cell and Molecular Biology. 51(6). 783–792. 22 indexed citations
14.
Melichar, Bohuslav, Hana Študentová, Hana Kalábová, et al.. (2013). Systemic immune response and peripheral blood cell count in patients with a history of breast cancer. Pteridines. 24(3-4). 211–217. 3 indexed citations
15.
Melichar, Bohuslav, Hana Študentová, Hana Kalábová, et al.. (2013). Risk factors of atherosclerosis in patients with history of breast cancer. Pteridines. 24(3-4). 201–210. 9 indexed citations
16.
17.
Friedecký, David, et al.. (2011). Analysis of Nucleotides in Dry Blood Spots. Chemické listy. 105(3). 1 indexed citations
18.
19.
Friedecký, David, et al.. (2008). ITPase Activity in Dry Blood Spots is Comparable with That in Fresh Erythrocytes. Nucleosides Nucleotides & Nucleic Acids. 27(6-7). 656–660. 1 indexed citations
20.
Friedecký, David, Petr Bednář, Martin Procházka, & Tomáš Adam. (2006). Analysis of Intracellular Nucleotides by Capillary Electrophoresis–Mass Spectrometry. Nucleosides Nucleotides & Nucleic Acids. 25(9-11). 1233–1236. 7 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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