Ann C. Davis
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Allan BradleyRamiro Ramírez‐SolisMarc J. ShulmanStephan HannKenneth H. RouxJonas A. NilssonElsie WhiteCatriona McKay
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (2 papers)Genes & Development (2 papers)The EMBO Journal (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Ann C. Davis
25 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Immunology 490
- Molecular Biology 1.5k
- Cell Biology 276
- Cancer Research 197
- Oncology 301
Countries citing papers authored by Ann C. Davis
This map shows the geographic impact of Ann C. Davis'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 Ann C. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann C. Davis more than expected).
Fields of papers citing papers by Ann C. Davis
This network shows the impact of papers produced by Ann C. Davis. 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 Ann C. Davis. The network helps show where Ann C. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann C. Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 4 | |
| 2 | 2002 | 99 | |
| 3 | 2002 | 397 | |
| 4 | 2001 | 95 | |
| 5 | 1996 | 79 | |
| 6 | 1996 | 69 | |
| 7 | 1993 | 290 | |
| 8 | 1993 | 16 | |
| 9 | 1993 | 436 | |
| 10 | 1992 | 74 | |
| 11 | 1992 | 18 | |
| 12 | 1989 | 6 | |
| 13 | 1989 | 10 | |
| 14 | 1989 | 19 | |
| 15 | 1989 | 55 | |
| 16 | 1989 | 13 | |
| 17 | 1988 | 26 | |
| 18 | 1988 | 99 | |
| 19 | 1982 | 1 | |
| 20 | 1982 | 17 |
About Ann C. Davis
Ann C. Davis is a scholar working on Radiology, Nuclear Medicine and Imaging, Biotechnology, Immunology, Molecular Biology and Cell Biology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Animal Genetics and Reproduction (3 papers), T-cell and B-cell Immunology (3 papers), RNA and protein synthesis mechanisms (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Immunology (490 citations), Molecular Biology (1.5k citations), Cell Biology (276 citations), Cancer Research (197 citations) and Oncology (301 citations). Ann C. Davis has collaborated with scholars based in United States and Canada. Frequent co-authors include Allan Bradley, Ramiro Ramírez‐Solis, Marc J. Shulman, Stephan Hann, Kenneth H. Roux, Jonas A. Nilsson, Elsie White, Catriona McKay, James N. Ihle and John L. Cleveland. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Genes & Development, The EMBO Journal and The Journal of Immunology.
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.