Tanja Zigova

2.8k citations
34 papers · 2.4k · h-index 21

Impact in

Papers in

Tanja Zigova

34 papers receiving 2.3k citations

Peers

Tanja Zigova
Comparison fields: 5 of 84
  • Developmental Neuroscience 1.3k
  • Genetics 801
  • Cellular and Molecular Neuroscience 946
  • Neurology 340
  • Neurology 213
Replace Thomas G. Hazel with:
Thomas G. Hazel United States
Jingli Cai United States
Manuel Álvarez‐Dolado Spain
Shinichiro Mizumatsu Japan
Vladimer Darsalia Sweden
Tetsuya Imura Japan
Duncan Morhardt United States
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Tanja Zigova relative to Thomas G. Hazel United States Thomas G. Hazel's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Tanja Zigova

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Zigova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tanja Zigova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tanja Zigova Line = papers co-authored together Tanja Zigova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998460
2 2004323
3 2003257
4 2001191
5 1997176
6 1996132
7 2002122
8 200596
9 199687
10 200563
11 199955
12 200047
13 199841
14 200231
15 200530
16 200229
17 200029
18 200727
19 200025
20 200124

About Tanja Zigova

Tanja Zigova is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (21 papers), Nerve injury and regeneration (7 papers), Pluripotent Stem Cells Research (7 papers), Mesenchymal stem cell research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Prenatal Substance Exposure Effects (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Genetics (801 citations), Cellular and Molecular Neuroscience (946 citations), Neurology (340 citations) and Neurology (213 citations). Tanja Zigova has collaborated with scholars based in United States, Mexico and Bulgaria. Frequent co-authors include Marla B. Luskin, Paul R. Sanberg, Alison E. Willing, Viorica Pencea, Stanley J. Wiegand, Juan Sanchez‐Ramos, Samuel Saporta, Ranjita Betarbet, Roy A.E. Bakay and Randall R. Stewart. Their work appears in journals such as Cell Transplantation, Developmental Brain Research, Experimental Neurology, Molecular and Cellular Neuroscience and Developmental Biology.

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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