Brian B. Haab
- Molecular Biology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Spectroscopy top 0.5%
- Biomedical Engineering top 2%
- Immunology top 5%
- Co-authors
- Patrick O. BrownMaitreya J. DunhamRandall E. BrandRichard A. MathiesHeping ZhouTingting YueKevin A. MaupinGilbert S. Omenn
- Topics
- Glycosylation and Glycoproteins Research (51 papers)Monoclonal and Polyclonal Antibodies Research (41 papers)Advanced Biosensing Techniques and Applications (32 papers)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Brian B. Haab
106 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 5.1k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Spectroscopy 1.3k
- Biomedical Engineering 1.0k
- Immunology 749
Countries citing papers authored by Brian B. Haab
This map shows the geographic impact of Brian B. Haab'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 Brian B. Haab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian B. Haab more than expected).
Fields of papers citing papers by Brian B. Haab
This network shows the impact of papers produced by Brian B. Haab. 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 Brian B. Haab. The network helps show where Brian B. Haab may publish in the future.
Co-authorship network of co-authors of Brian B. Haab
This figure shows the co-authorship network connecting the top 25 collaborators of Brian B. Haab. A scholar is included among the top collaborators of Brian B. Haab 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 Brian B. Haab. Brian B. Haab 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 | 5 | |
| 3 | 22 | |
| 4 | 13 | |
| 5 | 71 | |
| 6 | 17 | |
| 7 | 34 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 112 | |
| 13 | 32 | |
| 14 | 32 | |
| 15 | 26 | |
| 16 | A cost comparison of the diagnostic modalities used in the detection of urothelial carcinoma in patients undergoing evaluation for hematuria | 2 |
| 17 | 59 | |
| 18 | 118 | |
| 19 | Autoantigen microarrays for multiplex characterization of autoantibody responsesbreakdown → | 529 |
| 20 | 68 |
About Brian B. Haab
Brian B. Haab is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Spectroscopy, having authored 107 papers that have together received 6.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (51 papers), Monoclonal and Polyclonal Antibodies Research (41 papers) and Advanced Biosensing Techniques and Applications (32 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Spectroscopy (1.3k citations) and Molecular Biology (5.1k citations). Brian B. Haab has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Patrick O. Brown, Maitreya J. Dunham, Randall E. Brand, Richard A. Mathies, Heping Zhou, Tingting Yue, Kevin A. Maupin, Gilbert S. Omenn, Dean E. Brenner and Daniel R. Rhodes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Bioinformatics.
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.