Julia E. Dallman

2.4k citations
31 papers · 1.2k · h-index 16

Impact in

Papers in

Julia E. Dallman

28 papers receiving 1.2k citations

Peers

Julia E. Dallman
Comparison fields: 5 of 97
  • Developmental Neuroscience 81
  • Cell Biology 245
  • Cellular and Molecular Neuroscience 269
  • Molecular Biology 746
  • Aging 13
Replace Kiwamu Takemoto with:
Kiwamu Takemoto Japan
Jennifer Brown United States
Tamara J. Stevenson United States
Rongwei Zhang China
Dietmar Schreiner Germany
Jaeda Coutinho‐Budd United States
Anthony C. Arvanites United States
Akiko Iwaki Japan
Tsutomu Hirata Japan
Daniel J. Spergel United States
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Citations per field
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Citations per year

Countries citing papers authored by Julia E. Dallman

Since Specialization
Citations

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

Fields of papers citing papers by Julia E. Dallman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia E. Dallman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia E. Dallman Line = papers co-authored together Julia E. Dallman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999393
2 2016118
3 201989
4 201678
5 200367
6 201561
7 201951
8 200442
9 201641
10 202036
11 201529
12 201328
13 199827
14 200823
15 200419
16 201315
17 202115
18 200014
19 201414
20 202113

About Julia E. Dallman

Julia E. Dallman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology and Genetics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Zebrafish Biomedical Research Applications (8 papers), Congenital heart defects research (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (5 papers), Neurobiology and Insect Physiology Research (4 papers), Retinal Development and Disorders (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Cell Biology (245 citations), Cellular and Molecular Neuroscience (269 citations), Molecular Biology (746 citations) and Aging (13 citations). Julia E. Dallman has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Gail Mandel, Marı́a Estela Andrés, Corinna Bürger, J.A. Grimes, Mary E. Anderson, María José Peral Rubio, Nurit Ballas, Elena Battaglioli, Roger M. Leblanc and Robert A. Kozol. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Advances in experimental medicine and biology, Frontiers in Molecular Neuroscience and The Journal of Physiology.

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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