Juliet Goldsmith

1.9k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 13

Juliet Goldsmith

18 papers receiving 1.3k citations

Hit Papers

The LC3-conjugation machinery specifies the loading of RN...3492020202620222024100200300

Peers

Juliet Goldsmith
Comparison fields: 5 of 91
  • Physiology 106
  • Cell Biology 245
  • Epidemiology 496
  • Cancer Research 203
  • Molecular Biology 754
Replace Michelle L. Seymour with:
Michelle L. Seymour United States
Tiao Xie United States
Rachel Myerowitz United States
Judit Herreros Spain
Nicole Koch Germany
Angela Nguyen Canada
Zhiping Nie United States
Fiona K. Bedford United Kingdom
Tami J. Kingsbury United States
Véronique Proux‐Gillardeaux France
Juliet Goldsmith relative to Michelle L. Seymour United States Michelle L. Seymour's profile →
Citations per field
00.5×3.8×
Michelle L. Seymour · 1×
Citations per year

Countries citing papers authored by Juliet Goldsmith

Since Specialization
Citations

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

Fields of papers citing papers by Juliet Goldsmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20254
2 20231
3 202263
4 202169
5 2021104
6 202131
7 202112
8 202012
9
The LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesiclesbreakdown →
2020349
10 2016130
11 201662
12 20142
13 2014115
14 201145
15 201117
16 200866
17 200720
18 2007204

About Juliet Goldsmith

Juliet Goldsmith is a scholar working on Cell Biology, Epidemiology and Physiology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Microtubule and mitosis dynamics (3 papers), Extracellular vesicles in disease (2 papers), Epigenetics and DNA Methylation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cellular transport and secretion (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Physiology (106 citations), Cell Biology (245 citations) and Epidemiology (496 citations). Juliet Goldsmith has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jayanta Debnath, Erika L.F. Holzbaur, Jordan Ye, Andrew M. Leidal, Beth Levine, Timothy Marsh, Teresa Monkkonen, Ariadne Vlahakis, Eric J. Huang and Dachuan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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