Tanja Babic

52 total papers · 832 total citations
25 papers, 651 citations indexed

About

Tanja Babic is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Tanja Babic has authored 25 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrine and Autonomic Systems, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Tanja Babic's work include Neuroscience of respiration and sleep (9 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Sleep and Wakefulness Research (6 papers). Tanja Babic is often cited by papers focused on Neuroscience of respiration and sleep (9 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Sleep and Wakefulness Research (6 papers). Tanja Babic collaborates with scholars based in United States, Canada and United Kingdom. Tanja Babic's co-authors include Kirsteen N. Browning, R. Alberto Travagli, John Ciriello, Gregory M. Holmes, Cleusa V.R. de Oliveira, F. Holly Coleman, Luis Pastor Solano-Flores, M. Patricia Rosas‐Arellano, Hans‐Rudolf Berthoud and Xiaorui Tang and has published in prestigious journals such as The Journal of Physiology, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Tanja Babic

24 papers receiving 637 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tanja Babic 322 143 137 101 100 25 651
F. Holly Coleman 282 0.9× 92 0.6× 67 0.5× 105 1.0× 105 1.1× 20 599
R. Curtis Rogers 272 0.8× 75 0.5× 112 0.8× 84 0.8× 258 2.6× 17 753
Zbigniew K. Krowicki 360 1.1× 137 1.0× 159 1.2× 91 0.9× 258 2.6× 37 676
J. Perrin 341 1.1× 153 1.1× 117 0.9× 120 1.2× 134 1.3× 24 584
Tsukasa Nozu 172 0.5× 215 1.5× 162 1.2× 47 0.5× 93 0.9× 47 727
Shima Kumei 136 0.4× 138 1.0× 156 1.1× 60 0.6× 32 0.3× 38 564
C Roman 249 0.8× 60 0.4× 196 1.4× 90 0.9× 120 1.2× 32 673
Jun Zheng 238 0.7× 39 0.3× 150 1.1× 99 1.0× 53 0.5× 31 695
Merva K. Cottle 289 0.9× 71 0.5× 138 1.0× 70 0.7× 162 1.6× 24 692
Takemasa Shiraishi 360 1.1× 144 1.0× 142 1.0× 67 0.7× 99 1.0× 30 632

Countries citing papers authored by Tanja Babic

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Babic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Babic

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

All Works

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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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