Lidia Bakota

47 total papers · 1.6k total citations
38 papers, 1.2k citations indexed

About

Lidia Bakota is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Lidia Bakota has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 20 papers in Physiology and 19 papers in Molecular Biology. Recurrent topics in Lidia Bakota's work include Alzheimer's disease research and treatments (19 papers), Neuroscience and Neuropharmacology Research (15 papers) and Microtubule and mitosis dynamics (11 papers). Lidia Bakota is often cited by papers focused on Alzheimer's disease research and treatments (19 papers), Neuroscience and Neuropharmacology Research (15 papers) and Microtubule and mitosis dynamics (11 papers). Lidia Bakota collaborates with scholars based in Germany, Hungary and United States. Lidia Bakota's co-authors include Roland Brandt, Frederik Sündermann, Jürgen J. Heinisch, Dennis Janning, Károly Gulya, Maxim Igaev, Balázs Gulyás, P. Kása, Christer Halldin and Wolfgang Junge and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuroscience.

In The Last Decade

Lidia Bakota

37 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Lidia Bakota 671 517 375 239 212 38 1.2k
Maike Hartlage‐Rübsamen 548 0.8× 453 0.9× 345 0.9× 188 0.8× 235 1.1× 36 1.2k
Nathalie Pierrot 869 1.3× 636 1.2× 393 1.0× 135 0.6× 237 1.1× 30 1.4k
Jonathan J. Sabbagh 461 0.7× 612 1.2× 256 0.7× 203 0.8× 195 0.9× 31 1.3k
Lotta Agholme 589 0.9× 535 1.0× 263 0.7× 166 0.7× 176 0.8× 24 1.2k
Eiríkur Benedikz 670 1.0× 645 1.2× 461 1.2× 138 0.6× 152 0.7× 60 1.4k
Jeremy H. Herskowitz 624 0.9× 562 1.1× 449 1.2× 138 0.6× 197 0.9× 37 1.4k
Gerda Huber 609 0.9× 618 1.2× 341 0.9× 170 0.7× 132 0.6× 25 1.3k
Pilar Gómez‐Ramos 587 0.9× 765 1.5× 517 1.4× 199 0.8× 168 0.8× 37 1.3k
Shoko Hashimoto 807 1.2× 472 0.9× 303 0.8× 181 0.8× 387 1.8× 34 1.4k
Zehra Yilmaz 954 1.4× 529 1.0× 351 0.9× 110 0.5× 321 1.5× 25 1.3k

Countries citing papers authored by Lidia Bakota

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Bakota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidia Bakota

This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Bakota. A scholar is included among the top collaborators of Lidia Bakota 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 Lidia Bakota. Lidia Bakota 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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