Stacie A. Dalrymple
- Immunology top 5%
- Immune Response and Inflammation 6
- Immune Cell Function and Interaction 2
- Cancer Research top 5%
- NF-κB Signaling Pathways 3
- Genetics top 5%
- Virus-based gene therapy research 2
- Chronic Lymphocytic Leukemia Research 2
- Oncology top 5%
- Hematology top 5%
-
- Seaweed-derived Bioactive Compounds 2
-
- Protein Degradation and Inhibitors 2
- Signaling Pathways in Disease 2
- Co-authors
- David V. GoeddelMaría E. FuentesMichael DurninMasato TanakaToshihiro YamaguchiRichard M. MurrayLinda LucianDee Aud
- Cited by
- ImmunologyCancer ResearchGenetics
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Stacie A. Dalrymple
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 892
- Cancer Research 549
- Genetics 344
- Oncology 579
- Hematology 194
Countries citing papers authored by Stacie A. Dalrymple
This map shows the geographic impact of Stacie A. Dalrymple'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 Stacie A. Dalrymple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacie A. Dalrymple more than expected).
Fields of papers citing papers by Stacie A. Dalrymple
This network shows the impact of papers produced by Stacie A. Dalrymple. 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 Stacie A. Dalrymple. The network helps show where Stacie A. Dalrymple may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stacie A. Dalrymple, 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 | 2010 | 50 | |
| 2 | Discovery of Selective Irreversible Inhibitors for Bruton’s Tyrosine Kinasebreakdown → | 2006 | 517 |
| 3 | 2006 | 15 | |
| 4 | 2006 | 25 | |
| 5 | 2006 | 97 | |
| 6 | 2005 | 1 | |
| 7 | 2005 | 1 | |
| 8 | 2003 | 19 | |
| 9 | 2002 | 24 | |
| 10 | 2002 | 74 | |
| 11 | 1999 | 487 | |
| 12 | 1999 | 47 | |
| 13 | 1998 | 103 | |
| 14 | 1998 | 5 | |
| 15 | 1998 | 31 | |
| 16 | 1997 | 40 | |
| 17 | 1997 | 112 | |
| 18 | 1996 | 170 | |
| 19 | 1995 | 349 | |
| 20 | 1989 | 13 |
About Stacie A. Dalrymple
Stacie A. Dalrymple is a scholar working on Immunology, Genetics and Biotechnology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (3 papers), Virus-based gene therapy research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Seaweed-derived Bioactive Compounds (2 papers), Immune Cell Function and Interaction (2 papers), Protein Degradation and Inhibitors (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Immunology (892 citations), Cancer Research (549 citations) and Genetics (344 citations). Stacie A. Dalrymple has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include David V. Goeddel, María E. Fuentes, Michael Durnin, Masato Tanaka, Toshihiro Yamaguchi, Richard M. Murray, Linda Lucian, Dee Aud, Robyn M. Slattery and Robin Murray. Their work appears in journals such as Infection and Immunity, Blood, Molecular Cancer Therapeutics, Journal of Molecular Neuroscience and Immunity.
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.