Dana L. Jackson

5.7k citations
27 papers · 1.8k indexed · 2 hit papers · h-index 16
Topics
Single-cell and spatial transcriptomics (16 papers)Zebrafish Biomedical Research Applications (5 papers)RNA Research and Splicing (5 papers)

In The Last Decade

Dana L. Jackson

26 papers receiving 1.8k citations

Hit Papers

Cicero Predicts cis-Regulatory DNA Interactions from Sing...201820262020202320182019100200300400

Peers

Dana L. Jackson
Comparison fields: 5 of 93
  • Molecular Biology 1.5k
  • Immunology 244
  • Cancer Research 236
  • Genetics 200
  • Oncology 173
Replace Sanjay Srivatsan with:
Sanjay Srivatsan United States
Christoph Ziegenhain Germany
Clodagh C. O’Shea United States
Hannah W. Miller United States
Ephraim Kenigsberg United States
Michael J. T. Stubbington United Kingdom
Hongshan Guo China
Dave Gennert United States
Scott N. Furlan United States
Irina Zaretsky Israel
Dana L. Jackson relative to Sanjay Srivatsan United States Sanjay Srivatsan's profile →
Citations per field
00.5×1.5×2.0×
Sanjay Srivatsan · 1×
Citations per year

Countries citing papers authored by Dana L. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Dana L. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana L. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Dana L. Jackson. A scholar is included among the top collaborators of Dana L. Jackson 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 Dana L. Jackson. Dana L. Jackson 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 10
3 1
4 5
5 20
6 28
7 16
8 60
9 179
10 67
11 46
12 198
13
A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screensbreakdown →
370
14 119
15
Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Databreakdown →
413
16 134
17 6
18 31
19 47
20 13

About Dana L. Jackson

Dana L. Jackson is a scholar working on Virology, Aging and Biophysics, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (16 papers), Zebrafish Biomedical Research Applications (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Biophysics (167 citations), Molecular Biology (1.5k citations) and Virology (90 citations). Dana L. Jackson has collaborated with scholars based in United States, South Africa and Bangladesh. Frequent co-authors include Cole Trapnell, Jay Shendure, José L. McFaline‐Figueroa, Andrew J. Hill, Jonathan S. Packer, Sanjay Srivatsan, Xiaojie Qiu, Molly Gasperini, Frank J. Steemers and Hannah A. Pliner. Their work appears in journals such as Science, Cell and Nature Communications.

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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