Julia L. Bachman

1.9k citations
13 papers · 1.3k indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (5 papers)Molecular Biology Techniques and Applications (4 papers)RNA and protein synthesis mechanisms (3 papers)

In The Last Decade

Julia L. Bachman

13 papers receiving 1.3k citations

Peers

Julia L. Bachman
Comparison fields: 5 of 112
  • Molecular Biology 752
  • Cellular and Molecular Neuroscience 552
  • Cell Biology 272
  • Cognitive Neuroscience 264
  • Neurology 95
Replace Tolga Soykan with:
Tolga Soykan Germany
Richard Sando United States
Angela M. Mabb United States
Gilbert L. Henry United States
Corinne Sidler Switzerland
Kiwamu Takemoto Japan
Samuel Young United States
René Jüttner Germany
Oleg S. Gorbatyuk United States
Gabriele Lignani Italy
Julia L. Bachman relative to Tolga Soykan Germany Tolga Soykan's profile →
Citations per field
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Tolga Soykan · 1×
Citations per year

Countries citing papers authored by Julia L. Bachman

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. Bachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia L. Bachman. 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 Julia L. Bachman. The network helps show where Julia L. Bachman may publish in the future.

Co-authorship network of co-authors of Julia L. Bachman

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 4
3 115
4 216
5 25
6 29
7 234
8 58
9 15
10 81
11 4
12 47
13 453

About Julia L. Bachman

Julia L. Bachman is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Biophysics, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Molecular Biology Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (552 citations), Cell Biology (272 citations) and Aging (26 citations). Julia L. Bachman has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Richard L. Huganir, Richard C. Johnson, Lenora J. Volk, Lihua Wang, Ken Sugino, Nelson Spruston, Mark S. Cembrowski, Brenda C. Shields, Benjamin Ohlstein and Terence D. Murphy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

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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