Jennifer M. Gillette
- Biophysics top 0.05%
- Molecular Biology top 5%
- Structural Biology top 0.2%
- Biomedical Engineering top 5%
- Cell Biology top 5%
- Co-authors
- Jennifer Lippincott‐SchwartzSuliana ManleyGeorge H. PattersonHarald F. HessEric BetzigHari ShroffChristina M. TerminiJames A. Galbraith
- Topics
- Cell Adhesion Molecules Research (10 papers)Advanced Fluorescence Microscopy Techniques (8 papers)Platelet Disorders and Treatments (7 papers)
- Partner nations
- United StatesGermanyCameroon
In The Last Decade
Jennifer M. Gillette
32 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Biophysics 1.8k
- Molecular Biology 1.4k
- Structural Biology 726
- Biomedical Engineering 726
- Cell Biology 404
Countries citing papers authored by Jennifer M. Gillette
This map shows the geographic impact of Jennifer M. Gillette'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 M. Gillette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Gillette more than expected).
Fields of papers citing papers by Jennifer M. Gillette
This network shows the impact of papers produced by Jennifer M. Gillette. 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 M. Gillette. The network helps show where Jennifer M. Gillette may publish in the future.
Co-authorship network of co-authors of Jennifer M. Gillette
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Gillette. A scholar is included among the top collaborators of Jennifer M. Gillette 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 M. Gillette. Jennifer M. Gillette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | 194 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 42 | |
| 13 | 53 | |
| 14 | 57 | |
| 15 | 472 | |
| 16 | 14 | |
| 17 | Dual-color superresolution imaging of genetically expressed probes within individual adhesion complexesbreakdown → | 391 |
| 18 | 46 | |
| 19 | 32 | |
| 20 | 75 |
About Jennifer M. Gillette
Jennifer M. Gillette is a scholar working on Immunology and Allergy, Biophysics and Hematology, having authored 32 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (10 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Structural Biology (726 citations), Biophysics (1.8k citations) and Immunology and Allergy (231 citations). Jennifer M. Gillette has collaborated with scholars based in United States, Germany and Cameroon. Frequent co-authors include Jennifer Lippincott‐Schwartz, Suliana Manley, George H. Patterson, Harald F. Hess, Eric Betzig, Hari Shroff, Christina M. Termini, James A. Galbraith, Catherine G. Galbraith and Michael W. Davidson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.
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.