Boyka Markova

2.1k total citations
38 papers, 1.4k citations indexed

About

Boyka Markova is a scholar working on Molecular Biology, Molecular Medicine and Hematology. According to data from OpenAlex, Boyka Markova has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Molecular Medicine and 9 papers in Hematology. Recurrent topics in Boyka Markova's work include Antibiotic Resistance in Bacteria (10 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Bacterial biofilms and quorum sensing (7 papers). Boyka Markova is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Bacterial biofilms and quorum sensing (7 papers). Boyka Markova collaborates with scholars based in Germany, Bulgaria and United States. Boyka Markova's co-authors include Frank D. Böhmer, Fawaz G. Haj, Benjamin G. Neel, Frank‐D. Böhmer, Ivan Mitov, Tanya Strateva, Lori D. Klaman, Frank Breitenbuecher, Peter Herrlich and Thomas Fischer and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular and Cellular Biology.

In The Last Decade

Boyka Markova

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boyka Markova Germany 18 946 354 297 196 195 38 1.4k
Nadine Weich United States 15 806 0.9× 258 0.7× 334 1.1× 47 0.2× 344 1.8× 23 1.7k
Manujendra N. Saha Canada 20 610 0.6× 232 0.7× 145 0.5× 42 0.2× 333 1.7× 32 1.1k
Søren E. Bjørn Denmark 19 534 0.6× 486 1.4× 147 0.5× 30 0.2× 110 0.6× 37 1.4k
Jijun Cheng United States 24 1.1k 1.2× 104 0.3× 188 0.6× 62 0.3× 217 1.1× 32 1.6k
Jonathan Rosen United States 19 690 0.7× 85 0.2× 415 1.4× 69 0.4× 512 2.6× 23 1.4k
Jae Won Yun South Korea 15 353 0.4× 59 0.2× 108 0.4× 38 0.2× 201 1.0× 53 910
Gail A. Wong United States 14 1.1k 1.2× 70 0.2× 130 0.4× 30 0.2× 307 1.6× 20 1.7k
Emad S. Alnemri United States 7 1.3k 1.4× 102 0.3× 395 1.3× 12 0.1× 240 1.2× 8 1.6k
Etsuko Ishizaka-Ikeda Japan 7 335 0.4× 253 0.7× 630 2.1× 59 0.3× 502 2.6× 7 1.2k
Gabriela Brumatti Australia 24 1.3k 1.3× 177 0.5× 912 3.1× 12 0.1× 297 1.5× 40 2.2k

Countries citing papers authored by Boyka Markova

Since Specialization
Citations

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

Fields of papers citing papers by Boyka Markova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyka Markova

This figure shows the co-authorship network connecting the top 25 collaborators of Boyka Markova. A scholar is included among the top collaborators of Boyka Markova 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 Boyka Markova. Boyka Markova 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.
Chen, Zhongli, Boyka Markova, Timo Hamers, et al.. (2024). 3,3′,5-Triiodothyroacetic Acid Transporters. Thyroid. 34(8). 1027–1037. 6 indexed citations
3.
Markova, Boyka, Steffen Mayerl, & Heike Heuer. (2024). Toward a treatment for thyroid hormone transporter MCT8 deficiency – achievements and challenges. European Thyroid Journal. 13(6).
4.
Vancamp, Pieter, Boyka Markova, Olga Shevchuk, et al.. (2023). Proteome Analysis of Thyroid Hormone Transporter Mct8/Oatp1c1-Deficient Mice Reveals Novel Dysregulated Target Molecules Involved in Locomotor Function. Cells. 12(20). 2487–2487. 3 indexed citations
5.
Ullrich, Simon, Yana Feodorova, Katharina Thanisch, et al.. (2023). The highly and perpetually upregulated thyroglobulin gene is a hallmark of functional thyrocytes. Frontiers in Cell and Developmental Biology. 11. 1265407–1265407. 6 indexed citations
6.
Serdar, Meray, Boyka Markova, Ursula Felderhoff‐Müser, et al.. (2021). Hyperoxia Leads to Transient Endocrine Alterations in the Neonatal Rat During Postnatal Development. Frontiers in Pediatrics. 9. 723928–723928. 1 indexed citations
7.
Mayerl, Steffen, et al.. (2019). Tissue-Specific Function of Thyroid Hormone Transporters: New Insights from Mouse Models. Experimental and Clinical Endocrinology & Diabetes. 128(06/07). 423–427. 5 indexed citations
8.
Markovska, Rumyana, Ines Schneider, Emma Keuleyan, et al.. (2012). High Prevalence of CTX-M-15-Producing O25b-ST131 Escherichia coli Clone in Bulgarian Hospitals. Microbial Drug Resistance. 18(4). 390–395. 8 indexed citations
9.
Markovska, Rumyana, Ines Schneider, Emma Keuleyan, et al.. (2008). Extended-Spectrum β-Lactamase–Producing Enterobacteriaceae in Bulgarian Hospitals. Microbial Drug Resistance. 14(2). 119–128. 22 indexed citations
10.
Breitenbuecher, Frank, Susanne Schnittger, Rebekka Grundler, et al.. (2008). Identification of a novel type of ITD mutations located in nonjuxtamembrane domains of the FLT3 tyrosine kinase receptor. Blood. 113(17). 4074–4077. 97 indexed citations
11.
Kasper, Stefan, Frank Breitenbuecher, Florian H. Heidel, et al.. (2008). The kinase inhibitor LS104 induces apoptosis, enhances cytotoxic effects of chemotherapeutic drugs and is targeting the receptor tyrosine kinase FLT3 in acute myeloid leukemia. Leukemia Research. 32(11). 1698–1708. 17 indexed citations
12.
Jarvius, Malin, Janna Paulsson, Irene Weibrecht, et al.. (2007). In Situ Detection of Phosphorylated Platelet-derived Growth Factor Receptor β Using a Generalized Proximity Ligation Method. Molecular & Cellular Proteomics. 6(9). 1500–1509. 187 indexed citations
13.
14.
Markovska, Rumyana, et al.. (2006). CTX-M-3 extended-spectrum beta-lactamase-producing Klebsiella pneumoniae and dissemination of the plasmidic bla CTX-M-3 in Bulgaria. European Journal of Clinical Microbiology & Infectious Diseases. 25(2). 123–125. 5 indexed citations
15.
Grün, Katja, Boyka Markova, Frank‐D. Böhmer, et al.. (2005). Elevated expression of PDGF-C in coxsackievirus B3-induced chronic myocarditis. European Heart Journal. 26(7). 728–739. 18 indexed citations
16.
Persson, C., Annie Bourdeau, Michel L. Tremblay, et al.. (2004). Site-Selective Regulation of Platelet-Derived Growth Factor β Receptor Tyrosine Phosphorylation by T-Cell Protein Tyrosine Phosphatase. Molecular and Cellular Biology. 24(5). 2190–2201. 79 indexed citations
17.
Markova, Boyka, et al.. (2004). Investigation of protein-tyrosine phosphatases by in-gel assays. Methods. 35(1). 22–27. 27 indexed citations
18.
Haj, Fawaz G., Boyka Markova, Lori D. Klaman, Frank D. Böhmer, & Benjamin G. Neel. (2003). Regulation of Receptor Tyrosine Kinase Signaling by Protein Tyrosine Phosphatase-1B. Journal of Biological Chemistry. 278(2). 739–744. 218 indexed citations
19.
Gulati, Pawan, Peter‐Christian Klöhn, Harald F. Krug, et al.. (2001). Redox Regulation in Mammalian Signal Transduction. IUBMB Life. 52(1). 25–28. 25 indexed citations
20.
Markova, Boyka, et al.. (1997). Complex alterations of the ribosomal gene spacers in mutant sc 8 of Drosophila melanogaster. Chromosoma. 106(6). 361–368. 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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