Rachel Babij

980 citations
19 papers · 700 indexed · h-index 14
Topics
Neuroscience and Neuropharmacology Research (10 papers)Neurological disorders and treatments (10 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
Journals
NeuronSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
United StatesFrance

In The Last Decade

Rachel Babij

19 papers receiving 693 citations

Peers

Rachel Babij
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 488
  • Neurology 398
  • Cognitive Neuroscience 139
  • Molecular Biology 116
  • Rheumatology 58
Replace Arin Pamukcu with:
Arin Pamukcu United States
Vicki Wheelock United States
Aurélie Méneret France
Eleanor Grant United Kingdom
Michèle Aguera France
Jesús F. Torres-Peraza Spain
Lena E. Hjermind Denmark
Yuki Oichi Japan
Dervila Glynn United Kingdom
Jin‐Young Koh United States
Rachel Babij relative to Arin Pamukcu United States Arin Pamukcu's profile →
Citations per field
00.5×4.4×
Arin Pamukcu · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 2
2 17
3 1
4 70
5 52
6 13
7 60
8 13
9 6
10 102
11 1
12 144
13 51
14 59
15 14
16 23
17 12
18 40
19 20

About Rachel Babij

Rachel Babij is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 19 papers that have together received 700 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurological disorders and treatments (10 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (488 citations), Neurology (398 citations) and Developmental Neuroscience (55 citations). Rachel Babij has collaborated with scholars based in United States and France. Frequent co-authors include Etty Cortés, Elan D. Louis, Phyllis L. Faust, Michelle Lee, Jean-Paul G. Vonsattel, Karen Ma, Jean‐Paul G. Vonsattel, Natalia V. De Marco García, Alicia Che and Robert N. Fetcho. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

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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