Julia Hubbard

1.2k citations
33 papers · 749 indexed · h-index 15

Impact in

    • Protein Structure and Dynamics
    • Photosynthetic Processes and Mechanisms
    • Metabolism, Diabetes, and Cancer
    • Receptor Mechanisms and Signaling
    • RNA and protein synthesis mechanisms
    • Neuropeptides and Animal Physiology

Papers in

Julia Hubbard

33 papers receiving 732 citations

Peers

Julia Hubbard
Comparison fields: 5 of 98
  • Molecular Biology 564
  • Cellular and Molecular Neuroscience 126
  • Spectroscopy 84
  • Physiology 23
  • Cell Biology 71
Replace J. Ellis Bell with:
J. Ellis Bell United States
Donald D. Muccio United States
Ronald R. Fisher United States
Franz Gruswitz United States
Christoph Gerle Japan
Anne Christine Dianoux France
Shuai Zong China
Aviv Paz Israel
Cindy Weitzman United States
G. Verner United States
Julia Hubbard relative to J. Ellis Bell United States J. Ellis Bell's profile →
Citations per field
00.5×4.7×
J. Ellis Bell · 1×
Citations per year

Countries citing papers authored by Julia Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by Julia Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Julia Hubbard, 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 Hubbard Line = papers co-authored together Julia Hubbard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20201
3 20181
4 201331
5 200716
6 200729
7 200347
8 200314
9 20012
10 19971
11 1997107
12 199416
13 199329
14 199132
15 19912
16 19901
17 198911
18 198910
19 198721
20 19865

About Julia Hubbard

Julia Hubbard is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry, Filtration and Separation, Molecular Biology and Behavioral Neuroscience, having authored 33 papers that have together received 749 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (11 papers), Photoreceptor and optogenetics research (7 papers), Neuropeptides and Animal Physiology (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Receptor Mechanisms and Signaling (4 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Molecular Biology (564 citations), Cellular and Molecular Neuroscience (126 citations), Spectroscopy (84 citations), Physiology (23 citations) and Cell Biology (71 citations). Julia Hubbard has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert K. Poole, Martin Hughes, Lorna J. Smith, Richard A. Smith, Christopher J. Penkett, Christopher M. Dobson, Christina Redfield, Ian B. Dodd, Danuta E. Mossakowska and M.C.W. Evans. Their work appears in journals such as FEBS Letters, Biochemical Journal, Bioorganic & Medicinal Chemistry Letters, Biochimica et Biophysica Acta (BBA) - Bioenergetics and Archives of Microbiology.

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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