Faye Sweat
- Molecular Biology top 10%
- Physiology top 5%
- Surgery
- Organic Chemistry top 10%
- Cell Biology top 10%
- Co-authors
- Holde PuchtlerMonroe I. LevineWilliam W. EpsteinMary S. TerryH. M. ConnerJames G. KuhnsSusan N. MeloanRyan Bates
- Topics
- Molecular Biology Techniques and Applications (5 papers)Dyeing and Modifying Textile Fibers (3 papers)Hemoglobinopathies and Related Disorders (3 papers)
- Partner nations
- United States
In The Last Decade
Faye Sweat
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.1k
- Physiology 513
- Surgery 259
- Organic Chemistry 223
- Cell Biology 199
Countries citing papers authored by Faye Sweat
This map shows the geographic impact of Faye Sweat'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 Faye Sweat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faye Sweat more than expected).
Fields of papers citing papers by Faye Sweat
This network shows the impact of papers produced by Faye Sweat. 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 Faye Sweat. The network helps show where Faye Sweat may publish in the future.
Co-authorship network of co-authors of Faye Sweat
This figure shows the co-authorship network connecting the top 25 collaborators of Faye Sweat. A scholar is included among the top collaborators of Faye Sweat 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 Faye Sweat. Faye Sweat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 25 | |
| 4 | 254 | |
| 5 | 31 | |
| 6 | PAPER CHROMATOGRAPHY OF DYES: METHOD TO INVESTIGATE VAGARIES IN HISTOLOGICAL STAINING. | 9 |
| 7 | Demonstration of amyloid with direct cotton dyes. Experiences with a new method for the selective staining of amyloid by sirius red F3BA and sirius supra scarlet GG-CF. | 19 |
| 8 | 53 | |
| 9 | 6 | |
| 10 | SIRIUS RED F3BA AS A STAIN FOR CONNECTIVE TISSUE.breakdown → | 374 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 39 | |
| 14 | REVISION OF THE AMIDOBLACK STAIN FOR HEMOGLOBIN. | 10 |
| 15 | 19 | |
| 16 | A LIGHT-FAST MODIFICATION OF LILLIE'S ALLOCHROME STAIN. PERIODIC ACID-SHIFF-PICRO-SIRIUS SUPRA BLUE GL. | 11 |
| 17 | 25 | |
| 18 | 3 | |
| 19 | 29 | |
| 20 | 15 |
About Faye Sweat
Faye Sweat is a scholar working on Genetics, Building and Construction and Hematology, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Dyeing and Modifying Textile Fibers (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Physiology (513 citations), Nephrology (137 citations) and Molecular Biology (1.1k citations). Faye Sweat has collaborated with scholars based in United States. Frequent co-authors include Holde Puchtler, Monroe I. Levine, William W. Epstein, Mary S. Terry, H. M. Conner, James G. Kuhns, Susan N. Meloan, Ryan Bates, P Woo and A. Bleakley Chandler. Their work appears in journals such as Chemical Reviews, JAMA and Journal of Histochemistry & Cytochemistry.
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.