Brian M. Gurbaxani

2.0k total citations
40 papers, 1.5k citations indexed

About

Brian M. Gurbaxani is a scholar working on Molecular Biology, Psychiatry and Mental health and General Health Professions. According to data from OpenAlex, Brian M. Gurbaxani has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Psychiatry and Mental health and 9 papers in General Health Professions. Recurrent topics in Brian M. Gurbaxani's work include Fibromyalgia and Chronic Fatigue Syndrome Research (10 papers), Health, psychology, and well-being (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Brian M. Gurbaxani is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (10 papers), Health, psychology, and well-being (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Brian M. Gurbaxani collaborates with scholars based in United States, Uganda and Switzerland. Brian M. Gurbaxani's co-authors include James F. Jones, Elizabeth R. Unger, Sherie L. Morrison, Iain Gardner, Miroslav Dostálek, Suzanne D. Vernon, Elizabeth M. Maloney, William C. Reeves, Christine Heim and Manoranjenni Chetty and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Brian M. Gurbaxani

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian M. Gurbaxani United States 18 425 369 277 174 148 40 1.5k
Patrick Dicker Ireland 37 282 0.7× 641 1.7× 199 0.7× 108 0.6× 69 0.5× 169 4.1k
Archie Campbell United Kingdom 31 239 0.6× 974 2.6× 150 0.5× 106 0.6× 52 0.4× 94 2.9k
Katharine Smith United Kingdom 25 323 0.8× 480 1.3× 146 0.5× 131 0.8× 88 0.6× 57 3.0k
Jacques Demotes‐Mainard France 25 282 0.7× 275 0.7× 38 0.1× 103 0.6× 250 1.7× 93 2.0k
Abdul J. Sankoh United States 15 191 0.4× 172 0.5× 88 0.3× 54 0.3× 253 1.7× 41 2.5k
Maura Pugliatti Italy 39 489 1.2× 658 1.8× 109 0.4× 109 0.6× 37 0.3× 157 4.3k
J. Wasserman Sweden 22 158 0.4× 207 0.6× 178 0.6× 81 0.5× 183 1.2× 78 1.5k
Martin Schaefer Germany 25 468 1.1× 153 0.4× 42 0.2× 47 0.3× 216 1.5× 71 2.3k
Shlomo Mendlovic Israel 21 291 0.7× 101 0.3× 328 1.2× 85 0.5× 93 0.6× 74 1.7k
Shulin Chen China 24 266 0.6× 360 1.0× 70 0.3× 86 0.5× 23 0.2× 98 1.8k

Countries citing papers authored by Brian M. Gurbaxani

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Gurbaxani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian M. Gurbaxani

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Gurbaxani. A scholar is included among the top collaborators of Brian M. Gurbaxani 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 M. Gurbaxani. Brian M. Gurbaxani 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.
Wang, Yifan, Xingjian Wang, Brian M. Gurbaxani, et al.. (2024). Modeling the Impact of Proactive Community Case Management on Reducing Confirmed Malaria Cases in Sub-Saharan African Countries. American Journal of Tropical Medicine and Hygiene. 111(3). 490–497.
2.
Goldsman, David, et al.. (2023). Predicting a kidney transplant patient’s pre-transplant functional status based on information from waitlist registration. Scientific Reports. 13(1). 6164–6164. 3 indexed citations
3.
Gurbaxani, Brian M., Andrew Hill, Prabasaj Paul, Pragati Prasad, & Rachel B. Slayton. (2022). Evaluation of different types of face masks to limit the spread of SARS-CoV-2: a modeling study. Scientific Reports. 12(1). 8630–8630. 9 indexed citations
4.
Fisher, Kiva A., John P. Barile, Rebecca J. Guerin, et al.. (2020). Factors Associated with Cloth Face Covering Use Among Adults During the COVID-19 Pandemic — United States, April and May 2020. MMWR Morbidity and Mortality Weekly Report. 69(28). 933–937. 88 indexed citations
5.
Goldsman, David, et al.. (2019). Using machine learning and an ensemble of methods to predict kidney transplant survival. PLoS ONE. 14(1). e0209068–e0209068. 57 indexed citations
6.
Gurbaxani, Brian M., et al.. (2019). Geospatial mapping and resource utilization tool in support of a national smoke-free public housing rule. BMC Research Notes. 12(1). 767–767. 2 indexed citations
7.
Basavaraju, Sridhar V., Brian M. Gurbaxani, Teresa A. Hammett, et al.. (2018). Assessment of risk for transplant‐transmissible infectious encephalitis among deceased organ donors. Transplant Infectious Disease. 20(5). e12933–e12933. 9 indexed citations
8.
Dostálek, Miroslav, Iain Gardner, Brian M. Gurbaxani, Rachel H. Rose, & Manoranjenni Chetty. (2013). Pharmacokinetics, Pharmacodynamics and Physiologically-Based Pharmacokinetic Modelling of Monoclonal Antibodies. Clinical Pharmacokinetics. 52(2). 83–124. 184 indexed citations
9.
Gao, Jianbo, Brian M. Gurbaxani, Jing Hu, et al.. (2013). Multiscale analysis of heart rate variability in non-stationary environments. Frontiers in Physiology. 4. 119–119. 25 indexed citations
10.
Querec, Troy D., Brian M. Gurbaxani, & Elizabeth R. Unger. (2013). Randomization Modeling to Ascertain Clustering Patterns of Human Papillomavirus Types Detected in Cervicovaginal Samples in the United States. PLoS ONE. 8(12). e82761–e82761. 3 indexed citations
11.
Gurbaxani, Brian M., Miroslav Dostálek, & Iain Gardner. (2013). Are endosomal trafficking parameters better targets for improving mAb pharmacokinetics than FcRn binding affinity?. Molecular Immunology. 56(4). 660–674. 47 indexed citations
12.
Panicker, Gitika, et al.. (2012). Sensitive and Specific Peak Detection for SELDI-TOF Mass Spectrometry Using a Wavelet/Neural-Network Based Approach. PLoS ONE. 7(11). e48103–e48103. 6 indexed citations
13.
Gao, Jianbo, et al.. (2011). Entropies of Negative Incomes, Pareto-Distributed Loss, and Financial Crises. PLoS ONE. 6(10). e25053–e25053. 8 indexed citations
14.
Gurbaxani, Brian M., et al.. (2010). Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data. BMC Bioinformatics. 11(1). 512–512. 3 indexed citations
15.
Gurbaxani, Brian M., et al.. (2009). Benchmarking currently available SELDI‐TOF MS preprocessing techniques. PROTEOMICS. 9(7). 1754–1762. 14 indexed citations
16.
Majer, Matthias, James F. Jones, Elizabeth R. Unger, et al.. (2007). Perception versus polysomnographic assessment of sleep in CFS and non-fatigued control subjects: results from a population-based study. BMC Neurology. 7(1). 40–40. 41 indexed citations
17.
Pennachin, Cassio, et al.. (2006). Combinations of Single Nucleotide Polymorphisms in Neuroendocrine Effector and Receptor Genes Predict Chronic Fatigue Syndrome. Pharmacogenomics. 7(3). 475–483. 75 indexed citations
18.
Gurbaxani, Brian M. & Sherie L. Morrison. (2005). Development of new models for the analysis of Fc–FcRn interactions. Molecular Immunology. 43(9). 1379–1389. 21 indexed citations
19.
Gurbaxani, Brian M., et al.. (2005). Analysis of a family of antibodies with different half-lives in mice fails to find a correlation between affinity for FcRn and serum half-life. Molecular Immunology. 43(9). 1462–1473. 82 indexed citations
20.
Trinh, Ryan, et al.. (2003). Optimization of codon pair use within the (GGGGS)3 linker sequence results in enhanced protein expression. Molecular Immunology. 40(10). 717–722. 85 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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