Bobbie‐Jo Webb‐Robertson

8.9k total citations
138 papers, 3.9k citations indexed

About

Bobbie‐Jo Webb‐Robertson is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Bobbie‐Jo Webb‐Robertson has authored 138 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 38 papers in Spectroscopy and 22 papers in Genetics. Recurrent topics in Bobbie‐Jo Webb‐Robertson's work include Advanced Proteomics Techniques and Applications (35 papers), Metabolomics and Mass Spectrometry Studies (34 papers) and Mass Spectrometry Techniques and Applications (18 papers). Bobbie‐Jo Webb‐Robertson is often cited by papers focused on Advanced Proteomics Techniques and Applications (35 papers), Metabolomics and Mass Spectrometry Studies (34 papers) and Mass Spectrometry Techniques and Applications (18 papers). Bobbie‐Jo Webb‐Robertson collaborates with scholars based in United States, Japan and Sweden. Bobbie‐Jo Webb‐Robertson's co-authors include Katrina M. Waters, Richard Smith, Thomas Metz, Joel G. Pounds, Melissa M. Matzke, Lisa Bramer, Weijun Qian, Mary Lipton, Kristin Burnum-Johnson and Karin Rodland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Bobbie‐Jo Webb‐Robertson

131 papers receiving 3.8k citations

Peers

Bobbie‐Jo Webb‐Robertson
Charles Ansong United States
Katrina M. Waters United States
James A. Mobley United States
Qibin Zhang United States
Ben C. Collins Switzerland
Péter Horvatovich Netherlands
Amelia C. Peterson United States
Charles Ansong United States
Bobbie‐Jo Webb‐Robertson
Citations per year, relative to Bobbie‐Jo Webb‐Robertson Bobbie‐Jo Webb‐Robertson (= 1×) peers Charles Ansong

Countries citing papers authored by Bobbie‐Jo Webb‐Robertson

Since Specialization
Citations

This map shows the geographic impact of Bobbie‐Jo Webb‐Robertson'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 Bobbie‐Jo Webb‐Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bobbie‐Jo Webb‐Robertson more than expected).

Fields of papers citing papers by Bobbie‐Jo Webb‐Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bobbie‐Jo Webb‐Robertson. 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 Bobbie‐Jo Webb‐Robertson. The network helps show where Bobbie‐Jo Webb‐Robertson may publish in the future.

Co-authorship network of co-authors of Bobbie‐Jo Webb‐Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Bobbie‐Jo Webb‐Robertson. A scholar is included among the top collaborators of Bobbie‐Jo Webb‐Robertson 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 Bobbie‐Jo Webb‐Robertson. Bobbie‐Jo Webb‐Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Adamczyk, Paul, Yuqian Gao, Joonhoon Kim, et al.. (2025). The oleaginous yeast Rhodosporidium toruloides engineered for biomass hydrolysate-derived (E)-α-bisabolene production. Metabolic Engineering. 90. 92–105. 3 indexed citations
2.
Webb‐Robertson, Bobbie‐Jo, Hemang Parikh, Ernesto Nakayasu, et al.. (2025). Genetic mapping of complement system proteins for islet autoimmunity in children with high risk of T1D. Communications Biology. 8(1). 1366–1366. 1 indexed citations
3.
Dakup, Panshak, Lisa Bramer, Marian Rewers, et al.. (2025). Challenges and Opportunities in State‐of‐the‐Art Proteomics Analysis for Biomarker Development From Plasma Extracellular Vesicles. PROTEOMICS. 26(2-3). 9–20.
4.
Zheng, Xueyun, Gérémy Clair, Adam Swensen, et al.. (2024). Exploring new frontiers in type 1 diabetes through advanced mass-spectrometry-based molecular measurements. Trends in Molecular Medicine. 30(12). 1137–1151. 3 indexed citations
5.
Dou, Chang, Xiaowen Chen, Joonhoon Kim, et al.. (2024). Corn stover variability drives differences in bisabolene production by engineered Rhodotorula toruloides. Journal of Industrial Microbiology & Biotechnology. 51.
6.
Webb‐Robertson, Bobbie‐Jo, Wenting Wu, Lisa Bramer, et al.. (2024). RNA Splicing Events in Circulation Distinguish Individuals With and Without New-onset Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 110(4). 1148–1157.
8.
Webb‐Robertson, Bobbie‐Jo, Ernesto Nakayasu, Fran Dong, et al.. (2023). Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes. iScience. 27(2). 108769–108769. 8 indexed citations
9.
Stratton, Kelly G., et al.. (2023). pmartR 2.0: A Quality Control, Visualization, and Statistics Pipeline for Multiple Omics Datatypes. Journal of Proteome Research. 22(2). 570–576. 10 indexed citations
10.
Stratton, Kelly G., et al.. (2023). PMart Web Application: Marketplace for Interactive Analysis of Panomics Data. Journal of Proteome Research. 23(8). 3310–3317. 4 indexed citations
11.
Kyle, Jennifer, Lucila Aimo, Alan Bridge, et al.. (2021). Interpreting the lipidome: bioinformatic approaches to embrace the complexity. Metabolomics. 17(6). 55–55. 16 indexed citations
12.
Stratton, Kelly G., Marina Gritsenko, Lisa Bramer, et al.. (2020). Unveiling molecular signatures of preeclampsia and gestational diabetes mellitus with multi-omics and innovative cheminformatics visualization tools. Molecular Omics. 16(6). 521–532. 23 indexed citations
13.
Piehowski, Paul, Ying Zhu, Lisa Bramer, et al.. (2020). Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution. Nature Communications. 11(1). 8–8. 202 indexed citations
14.
Kehn‐Hall, Kylene, et al.. (2020). Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance. Scientific Reports. 10(1). 19260–19260. 59 indexed citations
15.
Stratton, Kelly G., Bobbie‐Jo Webb‐Robertson, Lee Ann McCue, et al.. (2019). pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data. Journal of Proteome Research. 18(3). 1418–1425. 44 indexed citations
16.
Stanfill, Bryan, Ernesto Nakayasu, Lisa Bramer, et al.. (2018). Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data. Molecular & Cellular Proteomics. 17(9). 1824–1836. 23 indexed citations
17.
Webb‐Robertson, Bobbie‐Jo, Lisa Bramer, Jeffrey L. Jensen, et al.. (2017). P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets. Cancer Research. 77(21). e47–e50. 5 indexed citations
18.
Shapiro, Jason M., Bobbie‐Jo Webb‐Robertson, Lisa Bramer, et al.. (2015). Serum Proteome Profiles in Stricturing Crohnʼs Disease. Inflammatory Bowel Diseases. 21(8). 1935–1941. 27 indexed citations
19.
Corley, Courtney D., et al.. (2011). Complex Biological Event Extraction from Full Text using Signatures of Linguistic and Semantic Features. Meeting of the Association for Computational Linguistics. 130–137. 5 indexed citations
20.
Havre, S., Mudita Singhal, Banu Gopalan, et al.. (2004). Integrating Evolving Tools for Proteomics Research. 307–313. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026