Jennifer L. Garrison

2.8k citations
28 papers · 2.1k indexed · h-index 19
Topics
Endoplasmic Reticulum Stress and Disease (6 papers)RNA and protein synthesis mechanisms (4 papers)Circadian rhythm and melatonin (3 papers)

In The Last Decade

Jennifer L. Garrison

25 papers receiving 2.1k citations

Peers

Jennifer L. Garrison
Comparison fields: 5 of 113
  • Molecular Biology 1.0k
  • Cell Biology 643
  • Cellular and Molecular Neuroscience 264
  • Genetics 255
  • Epidemiology 216
Replace Sachiye Inouye with:
Sachiye Inouye Japan
Noelle D. Dwyer United States
Toshihiko Hosoya Japan
Marie‐Laure Parmentier France
Chul‐Seung Park South Korea
Mie Kubota Japan
Daniela Berdnik United States
Vincent O’Connor United Kingdom
Manabi Fujiwara Japan
Loren Miraglia United States
Jennifer L. Garrison relative to Sachiye Inouye Japan Sachiye Inouye's profile →
Citations per field
00.5×3.5×
Sachiye Inouye · 1×
Citations per year

Countries citing papers authored by Jennifer L. Garrison

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer L. Garrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer L. Garrison

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 7
5 4
6 21
7 52
8 48
9 197
10 95
11 231
12 39
13 208
14 174
15 5
16 224
17 34
18 86
19 18
20 18

About Jennifer L. Garrison

Jennifer L. Garrison is a scholar working on Aging, Structural Biology and Endocrine and Autonomic Systems, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), RNA and protein synthesis mechanisms (4 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (194 citations), Cell Biology (643 citations) and Endocrine and Autonomic Systems (206 citations). Jennifer L. Garrison has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Jack Taunton, Ramanujan S. Hegde, Cornelia I. Bargmann, Sang‐Wook Kang, Zachary A. Knight, Eric J. Kunkel, Michael G. Katze, Alan G. Goodman, Neena S. Rane and Soo Jung Kim. Their work appears in journals such as Nature, Science and Cell.

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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