Tamara Seredenina

3.2k total citations
34 papers, 1.6k citations indexed

About

Tamara Seredenina is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Tamara Seredenina has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in Tamara Seredenina's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Tamara Seredenina is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Tamara Seredenina collaborates with scholars based in Switzerland, Italy and United States. Tamara Seredenina's co-authors include Ruth Luthi‐Carter, Karl‐Heinz Krause, Vincent Jaquet, Roland Stocker, Ghassan J. Maghzal, Dieter Henrik Heiland, Takahiro Masuda, Александра Филиппова, Andreas Muhs and Christian Scheiwe and has published in prestigious journals such as Journal of Clinical Investigation, Nature Neuroscience and PLoS ONE.

In The Last Decade

Tamara Seredenina

34 papers receiving 1.5k citations

Peers

Tamara Seredenina
Comparison fields: 5 of 106
  • Molecular Biology 766
  • Cellular and Molecular Neuroscience 438
  • Immunology 394
  • Neurology 393
  • Physiology 291
Replace San‐Hua Fang with:
San‐Hua Fang China
Davide Lecca Italy
Myriam Catalano Italy
Karoly Nikolich United States
Sybille Krauß Germany
Nathaniel S. Woodling United States
Jianxiong Jiang United States
Maged M. Harraz United States
Shun‐Fen Tzeng Taiwan
F. Boroni Italy
San‐Hua Fang China View profile →
Citations per field, relative to Tamara Seredenina
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Citations per year, relative to Tamara Seredenina
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Countries citing papers authored by Tamara Seredenina

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Seredenina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Seredenina

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Seredenina. A scholar is included among the top collaborators of Tamara Seredenina 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 Tamara Seredenina. Tamara Seredenina 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
# Work Indexed citations
1 1
2 4
3 3
4 6
5 282
6 26
7 91
8 49
9 48
10 108
11 69
12 58
13 108
14 56
15 27
16 31
17 5
18 34
19 20
20 16

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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