Rachel Babij

26 total papers · 978 total citations
19 papers, 695 citations indexed

About

Rachel Babij is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Rachel Babij has authored 19 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Neurology and 7 papers in Cognitive Neuroscience. Recurrent topics in Rachel Babij's work include Neurological disorders and treatments (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Rachel Babij is often cited by papers focused on Neurological disorders and treatments (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Rachel Babij collaborates with scholars based in United States and France. Rachel Babij's co-authors include Elan D. Louis, Etty Cortés, Phyllis L. Faust, Michelle Lee, Jean-Paul G. Vonsattel, Karen Ma, Jean‐Paul G. Vonsattel, Natalia V. De Marco García, Alicia Che and Conor Liston and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rachel Babij

19 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Rachel Babij 488 396 139 115 57 19 695
Qiaoling Cui 590 1.2× 320 0.8× 207 1.5× 223 1.9× 11 0.2× 16 779
Zhiming Zhang 294 0.6× 193 0.5× 75 0.5× 149 1.3× 11 0.2× 16 558
Cécile Hubsch 207 0.4× 373 0.9× 134 1.0× 39 0.3× 53 0.9× 21 591
Aurélie Méneret 191 0.4× 237 0.6× 44 0.3× 158 1.4× 67 1.2× 46 692
Vicki Wheelock 230 0.5× 330 0.8× 168 1.2× 132 1.1× 16 0.3× 21 559
John D. Schwankhaus 192 0.4× 268 0.7× 76 0.5× 257 2.2× 47 0.8× 25 673
Jennifer J. Cheng 256 0.5× 369 0.9× 171 1.2× 64 0.6× 34 0.6× 18 626
Julie Napieralski 212 0.4× 142 0.4× 54 0.4× 210 1.8× 35 0.6× 17 663
Daniel D. Truong 284 0.6× 521 1.3× 88 0.6× 123 1.1× 25 0.4× 20 759
Roman Willi 174 0.4× 95 0.2× 49 0.4× 135 1.2× 40 0.7× 25 768

Countries citing papers authored by Rachel Babij

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Babij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Babij

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