Meredith E. Jackrel

2.5k citations
40 papers · 1.5k indexed · h-index 22

Meredith E. Jackrel

37 papers receiving 1.5k citations

Peers

Meredith E. Jackrel
Comparison fields: 5 of 77
  • Aging 188
  • Cell Biology 366
  • Neurology 291
  • Molecular Biology 1.3k
  • Structural Biology 16
Replace Morgan E. DeSantis with:
Morgan E. DeSantis United States
Maximiliano A. D’Angelo United States
Frédéric Frottin Germany
Sonja Kroschwald Germany
Minhajuddin Sirajuddin India
Korrie L. Mack United States
Elisabeth Nüske Germany
Alex H. Hutagalung United States
Stephanie N. Gates United States
Brooke J. Bevis United States
Meredith E. Jackrel relative to Morgan E. DeSantis United States Morgan E. DeSantis's profile →
Citations per field
00.5×2.9×
Morgan E. DeSantis · 1×
Citations per year

Countries citing papers authored by Meredith E. Jackrel

Since Specialization
Citations

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

Fields of papers citing papers by Meredith E. Jackrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20250
4 20248
5 20246
6 20235
7 202330
8 202023
9 201930
10 201823
11 2017193
12 201729
13 201636
14 201689
15 201579
16 201561
17 201432
18 2014186
19 201414
20 2012136

About Meredith E. Jackrel

Meredith E. Jackrel is a scholar working on Aging, Cell Biology, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heat shock proteins research (14 papers), Prion Diseases and Protein Misfolding (10 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Protein Structure and Dynamics (7 papers), Genetic Neurodegenerative Diseases (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Aging (188 citations), Cell Biology (366 citations), Neurology (291 citations), Molecular Biology (1.3k citations) and Structural Biology (16 citations). Meredith E. Jackrel has collaborated with scholars based in United States, Czechia and India. Frequent co-authors include James Shorter, Morgan E. DeSantis, Elizabeth A. Sweeny, Korrie L. Mack, Lynne Regan, Laura M. Castellano, Daniel R. Southworth, Stephanie N. Gates, Adam L. Yokom and Min Su. Their work appears in journals such as Molecular Cell, Nature Communications, Cell, Journal of Biological Chemistry and ACS Chemical Biology.

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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