Yonka Christova

1.7k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Yonka Christova is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yonka Christova has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Reproductive Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yonka Christova's work include Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Yonka Christova is often cited by papers focused on Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Yonka Christova collaborates with scholars based in United Kingdom, Bulgaria and Germany. Yonka Christova's co-authors include Matthew Freeman, Colin Adrain, Neil A. Taylor, Markus Zettl, Jason W. Chin, Daniel de la Torre, Wesley E. Robertson, Julius Fredens, Louise F. H. Funke and Thomas Elliott and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Yonka Christova

18 papers receiving 1.2k citations

Hit Papers

Total synthesis of Escher... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonka Christova United Kingdom 12 834 196 191 104 95 18 1.2k
Mitsuhiro Shimizu Japan 21 1.9k 2.3× 310 1.6× 148 0.8× 100 1.0× 198 2.1× 53 2.4k
Ebo Bos Netherlands 18 677 0.8× 113 0.6× 255 1.3× 31 0.3× 367 3.9× 40 1.4k
Yasutaka Makino Japan 21 1.2k 1.5× 162 0.8× 198 1.0× 128 1.2× 68 0.7× 40 1.4k
S. Gräslund Sweden 21 1.1k 1.3× 126 0.6× 125 0.7× 100 1.0× 129 1.4× 43 1.5k
Odd S. Gabrielsen Norway 25 1.8k 2.2× 281 1.4× 212 1.1× 96 0.9× 191 2.0× 66 2.1k
H Jakob France 19 1.1k 1.3× 345 1.8× 109 0.6× 171 1.6× 194 2.0× 37 1.5k
B A Fenderson United States 12 796 1.0× 94 0.5× 52 0.3× 175 1.7× 229 2.4× 15 1.0k
Irene Yiallouros Germany 15 294 0.4× 87 0.4× 183 1.0× 63 0.6× 44 0.5× 19 683
Guang‐Jer Wu United States 23 865 1.0× 206 1.1× 262 1.4× 105 1.0× 109 1.1× 48 1.3k
Kumkum Saxena United States 10 1.4k 1.7× 141 0.7× 230 1.2× 254 2.4× 287 3.0× 16 2.2k

Countries citing papers authored by Yonka Christova

Since Specialization
Citations

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

Fields of papers citing papers by Yonka Christova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonka Christova

This figure shows the co-authorship network connecting the top 25 collaborators of Yonka Christova. A scholar is included among the top collaborators of Yonka Christova 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 Yonka Christova. Yonka Christova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Robertson, Wesley E., Fabian B. H. Rehm, Martin Spinck, et al.. (2025). Escherichia coli with a 57-codon genetic code. Science. 390(6771). eady4368–eady4368. 2 indexed citations
2.
Robertson, Wesley E., Louise F. H. Funke, Daniel de la Torre, et al.. (2021). Sense codon reassignment enables viral resistance and encoded polymer synthesis. Science. 372(6546). 1057–1062. 127 indexed citations
3.
Fredens, Julius, Kaihang Wang, Daniel de la Torre, et al.. (2019). Total synthesis of Escherichia coli with a recoded genome. Nature. 569(7757). 514–518. 332 indexed citations breakdown →
4.
Christova, Yonka, et al.. (2015). A polymerase engineered for bisulfite sequencing. Nucleic Acids Research. 43(22). e155–e155. 10 indexed citations
5.
Siggs, Owen M., et al.. (2014). Genetic interaction implicates iRhom2 in the regulation of EGF receptor signalling in mice. Biology Open. 3(12). 1151–1157. 28 indexed citations
6.
Christova, Yonka, et al.. (2013). Mammalian iRhoms have distinct physiological functions including an essential role in TACE regulation. EMBO Reports. 14(10). 884–890. 111 indexed citations
7.
Adrain, Colin, Markus Zettl, Yonka Christova, Neil A. Taylor, & Matthew Freeman. (2012). Tumor Necrosis Factor Signaling Requires iRhom2 to Promote Trafficking and Activation of TACE. Science. 335(6065). 225–228. 308 indexed citations
8.
Pierrat, Olivier A., Kvido Střı́šovský, Yonka Christova, et al.. (2010). Monocyclic β-Lactams Are Selective, Mechanism-Based Inhibitors of Rhomboid Intramembrane Proteases. ACS Chemical Biology. 6(4). 325–335. 54 indexed citations
9.
Vinothkumar, Kutti R., Kvido Střı́šovský, Antonina Andreeva, et al.. (2010). The structural basis for catalysis and substrate specificity of a rhomboid protease. The EMBO Journal. 29(22). 3797–3809. 87 indexed citations
10.
Cohen, R., et al.. (2005). Direct measurement of molecular interaction forces in foam films from lung surfactant fraction. Colloid & Polymer Science. 284(5). 546–550. 9 indexed citations
11.
Christova, Yonka, P S James, & Roy Jones. (2004). Lipid diffusion in sperm plasma membranes exposed to peroxidative injury from oxygen free radicals. Molecular Reproduction and Development. 68(3). 365–372. 47 indexed citations
12.
Christova, Yonka, P S James, Alan R. Mackie, Trevor G. Cooper, & Roy Jones. (2003). Molecular diffusion in sperm plasma membranes during epididymal maturation. Molecular and Cellular Endocrinology. 216(1-2). 41–46. 34 indexed citations
13.
Christova, Yonka, P S James, Trevor G. Cooper, & Roy Jones. (2002). Lipid Diffusion in the Plasma Membrane of Mouse Spermatozoa: Changes During Epididymal Maturation, Effects of pH, Osmotic Pressure, and Knockout of the c‐ros Gene. Journal of Andrology. 23(3). 384–392. 23 indexed citations
14.
Wolfe, Caroline A., P S James, A. Patrick Gunning, et al.. (2001). Lipid dynamics in the plasma membrane of ram and bull spermatozoa after washing and exposure to macromolecules BSA and PVP. Molecular Reproduction and Development. 59(3). 306–313. 6 indexed citations
15.
Christova, Yonka, et al.. (1998). Effects of pulmonary surfactant proteins SP-B and SP-C and calcium ions on the surface properties of hydrophobic fractions of lung surfactant. European Biophysics Journal. 28(1). 59–66. 11 indexed citations
16.
Lalchev, Zdravko, et al.. (1996). Molecular mobility in the monolayers of foam films stabilized by porcine lung surfactant. Biophysical Journal. 71(5). 2591–2601. 13 indexed citations
17.
Tomova, N., et al.. (1972). Further evidence of amino acid activation of plant glyceraldehyde-3-phosphate dehydrogenase. Zeitschrift für Pflanzenphysiologie. 67(2). 117–119. 3 indexed citations
18.
Tomova, N., et al.. (1972). Amino acid activation of glyceraldehyde-3-phosphate dehydrogenase from chlorella. Zeitschrift für Pflanzenphysiologie. 67(2). 113–116. 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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