Brian Halligan

5.4k total citations · 4 hit papers
55 papers, 4.3k citations indexed

About

Brian Halligan is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Brian Halligan has authored 55 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 16 papers in Spectroscopy and 9 papers in Genetics. Recurrent topics in Brian Halligan's work include Advanced Proteomics Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Mass Spectrometry Techniques and Applications (9 papers). Brian Halligan is often cited by papers focused on Advanced Proteomics Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Mass Spectrometry Techniques and Applications (9 papers). Brian Halligan collaborates with scholars based in United States, Japan and China. Brian Halligan's co-authors include Leroy F. Liu, K M Tewey, Thomas C. Rowe, Liu Yang, Margarete M. S. Heck, William C. Earnshaw, Carol Cooke, Andrew S. Greene, Yang Liu and Simon Twigger and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Brian Halligan

54 papers receiving 4.2k citations

Hit Papers

Adriamycin-Induced DNA Damage Mediated by Mammalian DNA T... 1984 2026 1998 2012 1984 1985 1984 2024 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Halligan United States 27 3.1k 1.0k 417 391 333 55 4.3k
Uwe Rix United States 38 2.6k 0.9× 1.0k 1.0× 129 0.3× 841 2.2× 99 0.3× 89 4.9k
Rosanna Supino Italy 37 3.0k 1.0× 1.7k 1.7× 230 0.6× 593 1.5× 175 0.5× 109 4.9k
Giovanni Capranico Italy 47 4.9k 1.6× 2.0k 2.0× 948 2.3× 1.0k 2.6× 353 1.1× 144 6.2k
Bridget T. Hill United Kingdom 39 3.0k 1.0× 2.2k 2.2× 180 0.4× 555 1.4× 101 0.3× 193 5.3k
Leonard A. Zwelling United States 41 3.9k 1.3× 2.4k 2.4× 514 1.2× 875 2.2× 213 0.6× 128 5.6k
Ram Ganapathi United States 33 2.7k 0.9× 1.8k 1.8× 156 0.4× 252 0.6× 139 0.4× 132 4.0k
Carlos M. Galmarini Spain 41 3.2k 1.0× 2.5k 2.5× 107 0.3× 650 1.7× 171 0.5× 155 7.0k
K M Tewey United States 7 3.3k 1.1× 1.4k 1.4× 752 1.8× 712 1.8× 267 0.8× 7 3.9k
William P. Tong United States 40 3.6k 1.2× 2.1k 2.1× 59 0.1× 649 1.7× 152 0.5× 110 6.6k
Saul H. Rosenberg United States 44 5.6k 1.8× 2.3k 2.3× 149 0.4× 1.7k 4.3× 138 0.4× 118 8.2k

Countries citing papers authored by Brian Halligan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Halligan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Halligan. 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 Halligan. The network helps show where Brian Halligan may publish in the future.

Co-authorship network of co-authors of Brian Halligan

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Halligan. A scholar is included among the top collaborators of Brian Halligan 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 Halligan. Brian Halligan 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.
Oliveri, Antonino, Ryan J. Rebernick, Annapurna Kuppa, et al.. (2024). Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank. Nature Genetics. 56(2). 212–221. 44 indexed citations breakdown →
2.
Chen, Vincent, Xiaomeng Du, Antonino Oliveri, et al.. (2024). Genetic risk accentuates dietary effects on hepatic steatosis, inflammation and fibrosis in a population-based cohort. Journal of Hepatology. 81(3). 379–388. 20 indexed citations
3.
Kuppa, Annapurna, Yue Chen, Asmita Pant, et al.. (2023). Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity. Journal of Molecular Endocrinology. 70(3). 2 indexed citations
4.
Chen, Vincent, Xiaomeng Du, Yanhua Chen, et al.. (2021). Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology. Nature Communications. 12(1). 816–816. 75 indexed citations
5.
Chesnik, Marla A., Brian Halligan, Michael Olivier, & Shama P. Mirza. (2011). Sequential abundant ion fragmentation analysis (SAIFA): An alternative approach for phosphopeptide identification using an ion trap mass spectrometer. Analytical Biochemistry. 418(2). 197–203. 3 indexed citations
6.
Sharma, Mukut, Brian Halligan, Bassam T. Wakim, et al.. (2010). THE URINE PROTEOME FOR RADIATION BIODOSIMETRY: EFFECT OF TOTAL BODY VS. LOCAL KIDNEY IRRADIATION. Health Physics. 98(2). 186–195. 19 indexed citations
7.
Mintz, Michelle, Asako Takanohashi, Kristy J. Brown, et al.. (2010). Time Series Proteome Profiling. Methods in molecular biology. 694. 365–377. 2 indexed citations
8.
Du, Jianhai, Na Wei, Bassam T. Wakim, et al.. (2009). Identification of proteins interacting with GTP cyclohydrolase I. Biochemical and Biophysical Research Communications. 385(2). 143–147. 10 indexed citations
9.
Sharma, Mukut, Brian Halligan, Bassam T. Wakim, et al.. (2008). The urine proteome as a biomarker of radiation injury. PROTEOMICS - CLINICAL APPLICATIONS. 2(7-8). 1065–1086. 27 indexed citations
10.
Sander, Tara L., Sushma Kaul, Bassam T. Wakim, et al.. (2008). Comparative proteomic analysis of PAI‐1 and TNF‐alpha‐derived endothelial microparticles. PROTEOMICS. 8(12). 2430–2446. 121 indexed citations
11.
Yu, Hongwei, Bassam T. Wakim, Man Li, et al.. (2007). Quantifying raft proteins in neonatal mouse brain by 'tube-gel' protein digestion label-free shotgun proteomics. Proteome Science. 5(1). 17–17. 51 indexed citations
12.
Mirza, Shama P., Brian Halligan, Andrew S. Greene, & Michael Olivier. (2007). Improved method for the analysis of membrane proteins by mass spectrometry. Physiological Genomics. 30(1). 89–94. 63 indexed citations
13.
Halligan, Brian, et al.. (2004). ProMoST (Protein Modification Screening Tool): a web-based tool for mapping protein modifications on two-dimensional gels. Nucleic Acids Research. 32(Web Server). W638–W644. 97 indexed citations
14.
Zhu, Lei & Brian Halligan. (1999). Characterization of a 3′–5′ Exonuclease Associated with VDJP. Biochemical and Biophysical Research Communications. 259(2). 262–270. 6 indexed citations
15.
Zhu, Lei & Brian Halligan. (1999). V(D)J recombinational signal sequence DNA binding activities expressed by fetal bovine thymus. Veterinary Immunology and Immunopathology. 71(3-4). 277–289. 2 indexed citations
16.
Halligan, Brian, et al.. (1997). Site directed DNA joining. Biochimie. 79(1). 13–22. 2 indexed citations
18.
Halligan, Brian, et al.. (1994). Distance and End Configuration Effects on VDJP-Mediated DNA Joining. Biochemical and Biophysical Research Communications. 202(2). 1134–1141. 5 indexed citations
19.
Halligan, Brian. (1993). A new protein motif found in DNA joining and DNA binding proteins. Nucleic Acids Research. 21(23). 5520–5221. 9 indexed citations
20.
Andrews, Robert, Nadine L. N. Halligan, & Brian Halligan. (1993). Nonamer Binding Protein Induces a Bend in the Immunoglobulin Gene Recombinational Signal Sequence. Biochemical and Biophysical Research Communications. 193(1). 139–145. 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.

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