Iva D. Tzvetanova

2.3k citations
11 papers · 1.7k indexed · 1 hit paper · h-index 10
Topics
Neurogenesis and neuroplasticity mechanisms (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Neuroscience and Neuropharmacology Research (2 papers)

In The Last Decade

Iva D. Tzvetanova

10 papers receiving 1.7k citations

Hit Papers

Glycolytic oligodendrocytes maintain myelin and long-term...201220262016202120122505007501000

Peers

Iva D. Tzvetanova
Comparison fields: 5 of 96
  • Developmental Neuroscience 720
  • Molecular Biology 645
  • Cellular and Molecular Neuroscience 559
  • Neurology 527
  • Physiology 214
Replace Celia M. Kassmann with:
Celia M. Kassmann Germany
Pablo M. Paez United States
Ursula Fünfschilling Germany
Ping-Wu Zhang United States
Akivaga Tsingalia United States
Sjef Copray Netherlands
Lin Jin China
Konstantina Psachoulia United Kingdom
Stephanie Redmond United States
Yona Goldshmit Australia
Iva D. Tzvetanova relative to Celia M. Kassmann Germany Celia M. Kassmann's profile →
Citations per field
00.5×1.5×
Celia M. Kassmann · 1×
Citations per year

Countries citing papers authored by Iva D. Tzvetanova

Since Specialization
Citations

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

Fields of papers citing papers by Iva D. Tzvetanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iva D. Tzvetanova. 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 Iva D. Tzvetanova. The network helps show where Iva D. Tzvetanova may publish in the future.

Co-authorship network of co-authors of Iva D. Tzvetanova

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 11
3 79
4 16
5 20
6 256
7
Glycolytic oligodendrocytes maintain myelin and long-term axonal integritybreakdown →
1085
8 78
9 24
10 58
11 63

About Iva D. Tzvetanova

Iva D. Tzvetanova is a scholar working on Developmental Neuroscience, Molecular Medicine and Neurology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (720 citations), Neurology (527 citations) and Cellular and Molecular Neuroscience (559 citations). Iva D. Tzvetanova has collaborated with scholars based in United States, Germany and Cyprus. Frequent co-authors include Klaus‐Armin Nave, Aiman S. Saab, Wiebke Möbius, Sandra Goebbels, Michael W. Sereda, Don Mahad, Julia M. Edgar, Francisca Díaz, Jens Frahm and Ursula Fünfschilling. Their work appears in journals such as Nature, Nature Communications and Journal of Neuroscience.

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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