Vladimir Todorov

2.0k total citations
79 papers, 1.3k citations indexed

About

Vladimir Todorov is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vladimir Todorov has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Cardiology and Cardiovascular Medicine and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vladimir Todorov's work include Renin-Angiotensin System Studies (24 papers), Receptor Mechanisms and Signaling (16 papers) and Advanced Data Compression Techniques (9 papers). Vladimir Todorov is often cited by papers focused on Renin-Angiotensin System Studies (24 papers), Receptor Mechanisms and Signaling (16 papers) and Advanced Data Compression Techniques (9 papers). Vladimir Todorov collaborates with scholars based in Germany, Bulgaria and United States. Vladimir Todorov's co-authors include Christian Hugo, Frank Schweda, Armin Kurtz, Hayo Castrop, Bernd Hohenstein, Charlotte Wagner, Armin Kurtz, Michael Desch, Klaus Höcherl and Florian Gembardt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Physiological Reviews.

In The Last Decade

Vladimir Todorov

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Todorov Germany 20 666 449 383 168 133 79 1.3k
Ildikó Toma United States 19 664 1.0× 369 0.8× 292 0.8× 218 1.3× 130 1.0× 29 1.4k
Elisabet Agardh Sweden 30 756 1.1× 187 0.4× 435 1.1× 179 1.1× 256 1.9× 86 2.7k
Yumei Zhan Japan 18 669 1.0× 360 0.8× 158 0.4× 64 0.4× 150 1.1× 21 1.4k
Hongyu Zhang United States 17 392 0.6× 155 0.3× 148 0.4× 251 1.5× 121 0.9× 24 939
Kotaro Numaguchi Japan 13 846 1.3× 447 1.0× 185 0.5× 38 0.2× 133 1.0× 22 1.5k
Eva Chou United States 10 617 0.9× 216 0.5× 198 0.5× 43 0.3× 150 1.1× 19 1.2k
Hidehiro Ishii Japan 10 588 0.9× 169 0.4× 235 0.6× 88 0.5× 110 0.8× 21 1.4k
Yutaka Kitami Japan 22 780 1.2× 601 1.3× 346 0.9× 26 0.2× 184 1.4× 56 1.5k
Hans Michael Piper Germany 28 979 1.5× 783 1.7× 104 0.3× 128 0.8× 172 1.3× 55 2.0k
Syed Haq United States 12 1.3k 2.0× 894 2.0× 139 0.4× 47 0.3× 225 1.7× 12 1.9k

Countries citing papers authored by Vladimir Todorov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Todorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Todorov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Todorov. A scholar is included among the top collaborators of Vladimir Todorov 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 Vladimir Todorov. Vladimir Todorov 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.
Todorov, Vladimir, et al.. (2024). Strongly locally homogeneous generalized continua of finite cohomological dimension. Topology and its Applications. 348. 108888–108888.
2.
Lubomirov, Lubomir T., G. Weber, Mechthild M. Schroeter, et al.. (2024). Alanine mutation of the targeting subunit of the myosin phosphatase, MYPT1 at threonine 696 reduces cGMP responsiveness of mouse femoral arteries. European Journal of Pharmacology. 986. 177133–177133.
3.
Neuwirth, Aleš, Ioannis Kourtzelis, Pallavi Subramanian, et al.. (2024). Developmental endothelial locus-1 protects from hypertension-induced cardiovascular remodeling via immunomodulation. Journal of Clinical Investigation. 134(9). 1 indexed citations
4.
Steglich, Anne, Friederike Kessel, Hannah Kröger, et al.. (2023). PLVAP as an Early Marker of Glomerular Endothelial Damage in Mice with Diabetic Kidney Disease. International Journal of Molecular Sciences. 24(2). 1094–1094. 5 indexed citations
5.
Neuwirth, Aleš, Ioannis Kourtzelis, Pallavi Subramanian, et al.. (2022). Developmental endothelial locus-1 protects from hypertension-induced cardiovascular remodeling via immunomodulation. Journal of Clinical Investigation. 132(6). 34 indexed citations
6.
Ruhnke, Leo, Jan Sradnick, Michael Gerlach, et al.. (2018). Progenitor Renin Lineage Cells are not involved in the regeneration of glomerular endothelial cells during experimental renal thrombotic microangiopathy. PLoS ONE. 13(5). e0196752–e0196752. 6 indexed citations
7.
Sradnick, Jan, Sergey Tselmin, Andrea Wagner, et al.. (2017). H.E.L.P apheresis exerts long term effects on the capacity of circulating proangiogenic cells. Atherosclerosis Supplements. 30. 232–237. 1 indexed citations
8.
Miquerol, Lucile, Vladimir Todorov, Christian Hugo, et al.. (2015). Inducible glomerular erythropoietin production in the adult kidney. Kidney International. 88(6). 1345–1355. 52 indexed citations
9.
Todorov, Vladimir, et al.. (2014). Deterministic Synthesis of Hybrid Application-Specific Network-on-Chip Topologies. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 33(10). 1503–1516. 19 indexed citations
10.
Strauß, Olaf, Vladimir Todorov, Julia Stindl, & Joana Raquel Martins. (2013). Activation of the retinal renin angiotensin system via beta-adrenergic stimulation of renin expression in the RPE. Investigative Ophthalmology & Visual Science. 54(15). 6100–6100. 1 indexed citations
11.
Todorov, Vladimir, et al.. (2012). Generalized Cantor manifolds and homogeneity. Houston journal of mathematics. 38(2). 583–609. 2 indexed citations
12.
Desch, Michael, Sabine Harlander, Björn Neubauer, et al.. (2011). cAMP target sequences enhCRE and CNRE sense low-salt intake to increase human renin gene expression in vivo. Pflügers Archiv - European Journal of Physiology. 461(5). 567–577. 14 indexed citations
13.
Kountchev, Roumen, et al.. (2010). RSTC-invariant object representation with 2D modified Mellin-Fourier transform. 6(4). 196–207. 1 indexed citations
14.
Kountchev, Roumen, et al.. (2010). Fragile and resistant image watermarking based on inverse difference pyramid decomposition. 6(3). 101–112. 2 indexed citations
15.
Kountchev, Roumen, et al.. (2010). Automatic detection of welding defects. International Journal of Reasoning-based Intelligent Systems. 3(1). 34–34. 5 indexed citations
16.
Kountchev, Roumen, et al.. (2009). Non-linear image representation based on IDP with NN. 5(9). 315–325. 6 indexed citations
17.
Kountchev, Roumen, et al.. (2008). Contours extraction in grayscale images of sign language interpreter. 22–27. 1 indexed citations
18.
Kountchev, Roumen, et al.. (2007). Compression and contents protection of images, texts and graphics for distance learning applications. International Conference on Signal Processing. 83–90.
19.
Kountchev, Roumen, et al.. (2006). Lossless compression of biometric image data. International Conference on Signal Processing. 185–190. 6 indexed citations
20.
Bogdanova, Nadja, Bernd Dworniczak, Vladimir Todorov, et al.. (1995). Genetic heterogeneity of polycystic kidney disease in Bulgaria. Human Genetics. 95(6). 645–50. 55 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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