Jennifer L. Freeman

11.3k citations
110 papers · 5.3k indexed · 2 hit papers · h-index 39

Jennifer L. Freeman

105 papers receiving 5.2k citations

Hit Papers

Use of Zebrafish in Drug Disc...3832006202620122019100200300400500

Peers

Jennifer L. Freeman
Comparison fields: 5 of 157
  • Health, Toxicology and Mutagenesis 1.3k
  • Cell Biology 1.1k
  • Pollution 626
  • Physiology 217
  • Molecular Biology 2.1k
Replace Warren Heideman with:
Warren Heideman United States
Chung‐Der Hsiao Taiwan
Jan M. Spitsbergen United States
Lisa Truong United States
Stefan Scholz Germany
Maurı́cio Reis Bogo Brazil
Hiroki Teraoka Japan
Dietmar Kültz United States
Stephanie Padilla United States
Qiaoxiang Dong China
Jennifer L. Freeman relative to Warren Heideman United States Warren Heideman's profile →
Citations per field
00.5×3.2×
Warren Heideman · 1×
Citations per year

Countries citing papers authored by Jennifer L. Freeman

Since Specialization
Citations

This map shows the geographic impact of Jennifer L. Freeman'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. Freeman 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. Freeman more than expected).

Fields of papers citing papers by Jennifer L. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20240
4 20241
5 202318
6 202314
7 20238
8 202212
9 202025
10 202021
11 202026
12 201835
13 201678
14 201582
15 200910
16 200818
17
Copy number variation: New insights in genome diversitybreakdown →
2006592
18 20021
19 1999155
20 199436

About Jennifer L. Freeman

Jennifer L. Freeman is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Cell Biology, having authored 110 papers that have together received 5.3k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (22 papers), Heavy Metal Exposure and Toxicity (17 papers), Zebrafish Biomedical Research Applications (12 papers), Receptor Mechanisms and Signaling (11 papers), Birth, Development, and Health (10 papers), Genomic variations and chromosomal abnormalities (9 papers), Chromosomal and Genetic Variations (8 papers) and Congenital heart defects research (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Cell Biology (1.1k citations) and Pollution (626 citations). Jennifer L. Freeman has collaborated with scholars based in United States, Colombia and China. Frequent co-authors include Katharine A. Horzmann, Samuel M. Peterson, Sara E. Wirbisky, Gregory J. Weber, J. David Lambeth, Marı́a S. Sepúlveda, Ola Wasel, Robert J. Lefkowitz, Julie A. Pitcher and A. Lane Rayburn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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