Ann E. Schmierer
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Immune Cell Function and Interaction 2
- T-cell and Retrovirus Studies 1
- Genetics 3
- Virus-based gene therapy research 2
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Anthony E. Namen (6 shared papers)David L. Urdal (2 shared papers)Carl J. March (2 shared papers)Raymond G. Goodwin (4 shared papers)Stephen D. Lupton (2 shared papers)David J. Cosman (2 shared papers)Steven A. Gillis (2 shared papers)Diane Y. Mochizuki (1 shared paper)
- Journals
- The Journal of Experimental Medicine (2 papers)Molecular and Cellular Biology (2 papers)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Ann E. Schmierer
6 papers receiving 1.3k citations
Ann E. Schmierer's Hit Papers
Peers
Comparison fields: 5 of 69
- Immunology 1.0k
- Hematology 220
- Oncology 348
- Immunology and Allergy 63
- Genetics 79
Countries citing papers authored by Ann E. Schmierer
This map shows the geographic impact of Ann E. Schmierer'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 E. Schmierer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Schmierer more than expected).
Fields of papers citing papers by Ann E. Schmierer
This network shows the impact of papers produced by Ann E. Schmierer. 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 E. Schmierer. The network helps show where Ann E. Schmierer may publish in the future.
Co-authors
The 17 scholars most cited alongside Ann E. Schmierer, 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 | Stimulation of B-cell progenitors by cloned murine interleukin-7 Hit paper breakdown → | 1988 | 707 |
| 2 | 1988 | 332 | |
| 3 | 1989 | 245 | |
| 4 | 1990 | 135 | |
| 5 | 1991 | 16 | |
| 6 | 1991 | 3 |
About Ann E. Schmierer
Ann E. Schmierer is a scholar working on Immunology, Genetics, Radiology, Nuclear Medicine and Imaging, Biotechnology and Molecular Biology, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Virus-based gene therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Bacterial Genetics and Biotechnology (1 paper), T-cell and Retrovirus Studies (1 paper), CAR-T cell therapy research (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Immunology (1.0k citations), Hematology (220 citations), Oncology (348 citations), Immunology and Allergy (63 citations) and Genetics (79 citations). Ann E. Schmierer has collaborated with scholars based in United States. Frequent co-authors include Anthony E. Namen, David L. Urdal, Carl J. March, Raymond G. Goodwin, Stephen D. Lupton, David J. Cosman, Steven A. Gillis, Diane Y. Mochizuki, Bruce Mosley and Janis M. Wignall. Their work appears in journals such as The Journal of Experimental Medicine, Molecular and Cellular Biology, Nature and Proceedings of the National Academy of Sciences.
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.