Jenna M. Frame

1.6k citations
19 papers · 1.1k indexed · h-index 12

Impact in

    • Zebrafish Biomedical Research Applications
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

Jenna M. Frame

18 papers receiving 1.1k citations

Peers

Jenna M. Frame
Comparison fields: 5 of 72
  • Cell Biology 532
  • Hematology 266
  • Immunology 461
  • Physiology 244
  • Neurology 72
Replace Chris S. Vink with:
Chris S. Vink United Kingdom
Joanna Tober United States
Amanda D. Yzaguirre United States
Jeffrey Malik United States
Kirsten A. Turlo United States
Katherine H. Fegan United States
Daniel N. Duong United States
Jean-Charles Boisset Netherlands
Polynikis Kaimakis Netherlands
Christophe Lancrin Italy
Jenna M. Frame relative to Chris S. Vink United Kingdom Chris S. Vink's profile →
Citations per field
00.5×2.6×
Chris S. Vink · 1×
Citations per year

Countries citing papers authored by Jenna M. Frame

Since Specialization
Citations

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

Fields of papers citing papers by Jenna M. Frame

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna M. Frame. 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 Jenna M. Frame. The network helps show where Jenna M. Frame may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 202111
2 202051
3 20201
4 201918
5 20191
6 20181
7 20188
8 201618
9 2015115
10 2015287
11 2015131
12 20141
13 2013107
14 20131
15 2012131
16 201144
17 20110
18 2011108
19 201074

About Jenna M. Frame

Jenna M. Frame is a scholar working on Cell Biology, Obstetrics and Gynecology, Immunology, Physiology and Genetics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Erythrocyte Function and Pathophysiology (9 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (5 papers), Pregnancy and preeclampsia studies (4 papers), Phagocytosis and Immune Regulation (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cell Biology (532 citations), Hematology (266 citations), Immunology (461 citations), Physiology (244 citations) and Neurology (72 citations). Jenna M. Frame has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Kathleen E. McGrath, James Palis, Paul D. Kingsley, Katherine H. Fegan, Simon J. Conway, Anne D. Koniski, Seana C. Catherman, J. Richard Bowen, Samantha J. England and Jeffrey Malik. Their work appears in journals such as Blood, Stem Cells, Seminars in Immunology, Cell Reports and Blood Cells Molecules and Diseases.

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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