Marcia M. Bieber
- Immunology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Oncology
- Co-authors
- Nelson N.H. TengNeelima M. BhatN. N. TengRonald van VollenhovenFreda K. StevensonLeonore A. HerzenbergYi ChenCaroline Chapman
- Topics
- Monoclonal and Polyclonal Antibodies Research (20 papers)Glycosylation and Glycoproteins Research (9 papers)T-cell and B-cell Immunology (8 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Marcia M. Bieber
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Immunology 411
- Molecular Biology 330
- Radiology, Nuclear Medicine and Imaging 236
- Pediatrics, Perinatology and Child Health 214
- Oncology 142
Countries citing papers authored by Marcia M. Bieber
This map shows the geographic impact of Marcia M. Bieber'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 Marcia M. Bieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia M. Bieber more than expected).
Fields of papers citing papers by Marcia M. Bieber
This network shows the impact of papers produced by Marcia M. Bieber. 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 Marcia M. Bieber. The network helps show where Marcia M. Bieber may publish in the future.
Co-authorship network of co-authors of Marcia M. Bieber
This figure shows the co-authorship network connecting the top 25 collaborators of Marcia M. Bieber. A scholar is included among the top collaborators of Marcia M. Bieber 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 Marcia M. Bieber. Marcia M. Bieber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 73 | |
| 4 | 28 | |
| 5 | 21 | |
| 6 | 42 | |
| 7 | 13 | |
| 8 | VH4-34 encoded antibody in systemic lupus erythematosus: effect of isotype. J Rheumatol | 1 |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 169 | |
| 13 | 20 | |
| 14 | 71 | |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 105 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 27 |
About Marcia M. Bieber
Marcia M. Bieber is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Pathology and Forensic Medicine, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (9 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Immunology (411 citations), Pediatrics, Perinatology and Child Health (214 citations) and Genetics (110 citations). Marcia M. Bieber has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Nelson N.H. Teng, Neelima M. Bhat, N. N. Teng, Ronald van Vollenhoven, Freda K. Stevenson, Leonore A. Herzenberg, Yi Chen, Caroline Chapman, Aaron B. Kantor and Alan M. Stall. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Cancer.
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.