Brian B. Haab

9.2k total citations · 2 hit papers
107 papers, 6.5k citations indexed

About

Brian B. Haab is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Brian B. Haab has authored 107 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 43 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Oncology. Recurrent topics in Brian B. Haab's work include Glycosylation and Glycoproteins Research (51 papers), Monoclonal and Polyclonal Antibodies Research (41 papers) and Advanced Biosensing Techniques and Applications (32 papers). Brian B. Haab is often cited by papers focused on Glycosylation and Glycoproteins Research (51 papers), Monoclonal and Polyclonal Antibodies Research (41 papers) and Advanced Biosensing Techniques and Applications (32 papers). Brian B. Haab collaborates with scholars based in United States, France and Netherlands. Brian B. Haab's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Bioinformatics.

In The Last Decade

Brian B. Haab

106 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions

2001 694 citations Brian B. Haab, Patrick O. Brown et al. profile →
Autoantigen microarrays for multiplex characterization of autoantibody responses

2002 529 citations William H. Robinson, Wolfgang Hueber et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian B. Haab United States	40	5.1k	2.0k	1.3k	1.0k	749	107	6.5k
Emanuel F. Petricoin United States	51	6.7k 1.3×	1.4k 0.7×	2.3k 1.7×	945 0.9×	878 1.2×	195	9.5k
Sharon J. Pitteri United States	39	3.1k 0.6×	413 0.2×	1.9k 1.4×	647 0.6×	471 0.6×	103	4.9k
Daniel J. O’Shannessy United States	38	2.1k 0.4×	1.0k 0.5×	417 0.3×	699 0.7×	546 0.7×	80	4.6k
Nathalie Corvaı̈a France	31	2.6k 0.5×	2.4k 1.2×	479 0.4×	310 0.3×	1.0k 1.4×	72	5.0k
Alexander D. Borowsky United States	51	4.7k 0.9×	866 0.4×	334 0.2×	988 1.0×	1.1k 1.5×	197	8.7k
Ronald C. Hendrickson United States	31	3.2k 0.6×	335 0.2×	923 0.7×	553 0.5×	1.6k 2.1×	68	5.6k
Janice M. Reichert United States	43	5.5k 1.1×	5.1k 2.5×	303 0.2×	757 0.8×	2.4k 3.1×	94	9.7k
Alain Beck France	59	8.4k 1.7×	7.1k 3.5×	3.1k 2.3×	1.8k 1.8×	2.0k 2.7×	211	12.8k
Warren D.W. Heston United States	55	3.9k 0.8×	3.6k 1.8×	772 0.6×	903 0.9×	1.3k 1.7×	151	10.8k
Seth T. Gammon United States	24	3.0k 0.6×	296 0.1×	350 0.3×	890 0.9×	538 0.7×	69	4.5k

Countries citing papers authored by Brian B. Haab

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Ellis, Abigail E., et al.. (2024). Metabolomics and 13C labelled glucose tracing to identify carbon incorporation into aberrant cell membrane glycans in cancer. Communications Biology. 7(1). 1576–1576. 2 indexed citations

Haab, Brian B., Qian Lu, Ben Staal, et al.. (2024). A rigorous multi-laboratory study of known PDAC biomarkers identifies increased sensitivity and specificity over CA19-9 alone. Cancer Letters. 604. 217245–217245. 5 indexed citations

Lu, Xiaowei, Liping Liu, Chong Gao, et al.. (2023). Bioorthogonal Chemical Labeling Probes Targeting Sialic Acid Isomers for N-Glycan MALDI Imaging Mass Spectrometry of Tissues, Cells, and Biofluids. Analytical Chemistry. 95(19). 7475–7486. 22 indexed citations

Zhang, Jian, et al.. (2022). CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms. Glycobiology. 32(8). 679–690. 13 indexed citations

West, Connor A., Thomas W. Powers, Peggi M. Angel, et al.. (2020). Imaging Mass Spectrometry and Lectin Analysis of N-Linked Glycans in Carbohydrate Antigen–Defined Pancreatic Cancer Tissues. Molecular & Cellular Proteomics. 20. 100012–100012. 71 indexed citations

Gao, Chong, Ying Liu, Ben Staal, et al.. (2020). Detection of Chemotherapy-resistant Pancreatic Cancer Using a Glycan Biomarker, sTRA. Clinical Cancer Research. 27(1). 226–236. 17 indexed citations

Staal, Ben, Ying Liu, Zonglin He, et al.. (2019). The sTRA Plasma Biomarker: Blinded Validation of Improved Accuracy Over CA19-9 in Pancreatic Cancer Diagnosis. Clinical Cancer Research. 25(9). 2745–2754. 34 indexed citations

Liang, Hongyan, Connor A. West, Mengjun Wang, et al.. (2019). A Novel Mass Spectrometry Platform for Multiplexed N-Glycoprotein Biomarker Discovery from Patient Biofluids by Antibody Panel Based N-Glycan Imaging. Analytical Chemistry. 91(13). 8429–8435. 40 indexed citations

Kletter, Doron, et al.. (2015). Exploring the Specificities of Glycan-Binding Proteins Using Glycan Array Data and the GlycoSearch Software. Methods in molecular biology. 1273. 203–214. 6 indexed citations

10.

Cherba, David, et al.. (2014). Mesenchymal‐like pancreatic cancer cells harbor specific genomic alterations more frequently than their epithelial‐like counterparts. Molecular Oncology. 8(7). 1253–1265. 6 indexed citations

11.

Cao, Zheng, Kevin A. Maupin, Brian A. Fallon, et al.. (2013). Specific Glycoforms of MUC5AC and Endorepellin Accurately Distinguish Mucinous from Nonmucinous Pancreatic Cysts. Molecular & Cellular Proteomics. 12(10). 2724–2734. 34 indexed citations

12.

Yue, Tingting, Irwin Goldstein, Michael A. Hollingsworth, et al.. (2009). The Prevalence and Nature of Glycan Alterations on Specific Proteins in Pancreatic Cancer Patients Revealed Using Antibody-Lectin Sandwich Arrays. Molecular & Cellular Proteomics. 8(7). 1697–1707. 112 indexed citations

13.

Yue, Tingting & Brian B. Haab. (2009). Microarrays in Glycoproteomics Research. Clinics in Laboratory Medicine. 29(1). 15–29. 32 indexed citations

14.

Hincapie, Marina, Brian B. Haab, Samir Hanash, et al.. (2009). The development of an integrated platform to identify breast cancer glycoproteome changes in human serum. Journal of Chromatography A. 1217(19). 3307–3315. 32 indexed citations

15.

Li, Zheng, Shireesh Srivastava, Xuerui Yang, et al.. (2007). A hierarchical approach employing metabolic and gene expression profiles to identify the pathways that confer cytotoxicity in HepG2 cells. BMC Systems Biology. 1(1). 21–21. 26 indexed citations

16.

Chen, Songming, Darren Hamelinck, Dean E. Brenner, et al.. (2006). A cost comparison of the diagnostic modalities used in the detection of urothelial carcinoma in patients undergoing evaluation for hematuria. Cancer Research. 66. 337–337. 2 indexed citations

17.

Shafer, Michael W., Leslie A. Mangold, Alan W. Partin, & Brian B. Haab. (2006). Antibody array profiling reveals serum TSP‐1 as a marker to distinguish benign from malignant prostatic disease. The Prostate. 67(3). 255–267. 59 indexed citations

18.

Orchekowski, Randal, Darren Hamelinck, Lin Li, et al.. (2005). Antibody Microarray Profiling Reveals Individual and Combined Serum Proteins Associated with Pancreatic Cancer. Cancer Research. 65(23). 11193–11202. 118 indexed citations

19.

Robinson, William H., Wolfgang Hueber, Brian B. Haab, et al.. (2002). Autoantigen microarrays for multiplex characterization of autoantibody responses. Nature Medicine. 8(3). 295–301. 529 indexed citations breakdown →

20.

Haab, Brian B. & Richard A. Mathies. (1995). Single molecule fluorescence burst detection of DNA fragments separated by capillary electrophoresis. Analytical Chemistry. 67(18). 3253–3260. 68 indexed citations

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.

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