Vladimir Todorov

2.0k citations
79 papers · 1.3k indexed · h-index 20
Topics
Renin-Angiotensin System Studies (24 papers)Receptor Mechanisms and Signaling (16 papers)Advanced Data Compression Techniques (9 papers)

In The Last Decade

Vladimir Todorov

72 papers receiving 1.3k citations

Peers

Vladimir Todorov
Comparison fields: 5 of 101
  • Molecular Biology 666
  • Cardiology and Cardiovascular Medicine 449
  • Endocrinology, Diabetes and Metabolism 383
  • Nephrology 168
  • Surgery 133
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Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 34
6 4
7 1
8 3
9 52
10
Activation of the retinal renin angiotensin system via beta-adrenergic stimulation of renin expression in the RPE
1
11
Generalized Cantor manifolds and homogeneity
2
12 36
13 14
14
Fragile and resistant image watermarking based on inverse difference pyramid decomposition
2
15
RSTC-invariant object representation with 2D modified Mellin-Fourier transform
1
16
Non-linear image representation based on IDP with NN
6
17
Contours extraction in grayscale images of sign language interpreter
1
18
Compression and contents protection of images, texts and graphics for distance learning applications
0
19 41
20
Lossless compression of biometric image data
6

About Vladimir Todorov

Vladimir Todorov is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Hardware and Architecture, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (24 papers), Receptor Mechanisms and Signaling (16 papers) and Advanced Data Compression Techniques (9 papers). The work is most often cited by research in Nephrology (168 citations), Endocrinology, Diabetes and Metabolism (383 citations) and Cardiology and Cardiovascular Medicine (449 citations). Vladimir Todorov has collaborated with scholars based in Germany, Bulgaria and United States. Frequent co-authors include Christian Hugo, Frank Schweda, Armin Kurtz, Hayo Castrop, Bernd Hohenstein, Charlotte Wagner, Armin Kurtz, Michael Desch, Klaus Höcherl and Markus Müller. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Physiological Reviews.

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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