Jennifer Meyers

5.0k citations
13 papers · 2.0k indexed · 2 hit papers · h-index 9
Topics
Burkholderia infections and melioidosis (2 papers)Mesenchymal stem cell research (2 papers)Immune Cell Function and Interaction (2 papers)
Partner nations
United States

In The Last Decade

Jennifer Meyers

13 papers receiving 2.0k citations

Hit Papers

Mesenchymal stem cell implantation in a swine myocardial ...200220262010201820022004200400600

Peers

Jennifer Meyers
Comparison fields: 5 of 123
  • Molecular Biology 912
  • Genetics 551
  • Surgery 523
  • Immunology 320
  • Biomaterials 292
Replace Pamela D. Arora with:
Pamela D. Arora Canada
Daniel P. Regan United States
Jonathan Mansbridge United States
Richard D. Anderson United States
Robert J. Rossi United States
Peter J. Dickinson United States
Richard J. Meyer United States
Charles Coutelle United Kingdom
Concepción Revilla Spain
David D. Wood United States
Jennifer Meyers relative to Pamela D. Arora Canada Pamela D. Arora's profile →
Citations per field
00.5×7.3×
Pamela D. Arora · 1×
Citations per year

Countries citing papers authored by Jennifer Meyers

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Meyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Meyers

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 6
2 1
3 11
4 4
5 14
6 27
7 20
8 34
9
Nonsense surveillance regulates expression of diverse classes of mammalian transcripts and mutes genomic noisebreakdown →
679
10
Mesenchymal stem cell implantation in a swine myocardial infarct model: engraftment and functional effectsbreakdown →
698
11 319
12 4
13 202

About Jennifer Meyers

Jennifer Meyers is a scholar working on Pharmacology, Genetics and Communication, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (2 papers), Mesenchymal stem cell research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (551 citations), Biomaterials (292 citations) and Immunology (320 citations). Jennifer Meyers has collaborated with scholars based in United States. Frequent co-authors include Francisco Martínez-Murillo, Neda Sharifi, Harry C. Dietz, Joshua T. Mendell, Bradley J. Martin, Peter J. Gruber, Janice Redmond, Mark F. Pittenger, William A. Baumgartner and Jay G. Shake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

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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