Jennifer Schleit

1.8k citations
11 papers · 309 indexed · h-index 9
Topics
Genetics, Aging, and Longevity in Model Organisms (3 papers)Genomics and Rare Diseases (2 papers)RNA and protein synthesis mechanisms (2 papers)

In The Last Decade

Jennifer Schleit

11 papers receiving 306 citations

Peers

Jennifer Schleit
Comparison fields: 5 of 51
  • Molecular Biology 229
  • Aging 117
  • Cell Biology 71
  • Epidemiology 50
  • Physiology 44
Replace Kai Chang with:
Kai Chang United States
Qun Lu China
Marcel Tiebe Germany
Corinne L. Pender United States
Marco Lezzerini Netherlands
Ricardo Gutiérrez-García Germany
Dana M. Alessi Wolken United States
Deborah J. Frank United States
Alexander Springhorn Germany
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Jennifer Schleit relative to Kai Chang United States Kai Chang's profile →
Citations per field
00.5×4.6×
Kai Chang · 1×
Citations per year

Countries citing papers authored by Jennifer Schleit

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Schleit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Schleit

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 7
2 21
3
A whole exome sequencing-based panel assay with boosted clinical content generates a high diagnostic yield in patients with inherited eye diseases
1
4 9
5 18
6 10
7 21
8 21
9 8
10 184
11 9

About Jennifer Schleit

Jennifer Schleit is a scholar working on Aging, Geriatrics and Gerontology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Rare Diseases (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (117 citations), Cell Biology (71 citations) and Molecular Biology (229 citations). Jennifer Schleit has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Matt Kaeberlein, Christopher J. Murakami, Marion Schmidt, Joe R. Delaney, Scott Tsuchiyama, Daniel Carr, Brett Robison, Krisztina Tar, Brian K. Kennedy and Mitsuhiro Tsuchiya. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and FEBS Letters.

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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