Brian Pulliam

3.4k total citations · 1 hit paper
9 papers, 2.5k citations indexed

About

Brian Pulliam is a scholar working on Pulmonary and Respiratory Medicine, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Brian Pulliam has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Pharmaceutical Science and 3 papers in Molecular Biology. Recurrent topics in Brian Pulliam's work include Inhalation and Respiratory Drug Delivery (4 papers), Advanced Drug Delivery Systems (4 papers) and Malaria Research and Control (2 papers). Brian Pulliam is often cited by papers focused on Inhalation and Respiratory Drug Delivery (4 papers), Advanced Drug Delivery Systems (4 papers) and Malaria Research and Control (2 papers). Brian Pulliam collaborates with scholars based in United States. Brian Pulliam's co-authors include Joseph L. DeRisi, Zbynek Bozdech, Jingchun Zhu, Manuel Llinás, Edith D. Wong, David A. Edwards, Jean C. Sung, Marcin P. Joachimiak, Fred E. Cohen and Daniel Sudilovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS Biology.

In The Last Decade

Brian Pulliam

9 papers receiving 2.4k citations

Hit Papers

The Transcriptome of the Intraerythrocytic Developmental ... 2003 2026 2010 2018 2003 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 Pulliam United States 7 1.1k 1.0k 616 465 280 9 2.5k
Erika Hundt Germany 19 500 0.5× 611 0.6× 500 0.8× 88 0.2× 113 0.4× 34 1.5k
Paul Dickinson United Kingdom 24 178 0.2× 1.3k 1.3× 616 1.0× 313 0.7× 226 0.8× 59 2.5k
Catherine Ropert Brazil 28 1.0k 0.9× 600 0.6× 855 1.4× 36 0.1× 105 0.4× 49 2.4k
Bertrand Raynal France 25 252 0.2× 1.1k 1.1× 237 0.4× 106 0.2× 106 0.4× 75 1.9k
Ian Bathurst United States 25 967 0.9× 820 0.8× 443 0.7× 27 0.1× 158 0.6× 65 2.1k
Mitchell Gross United States 29 512 0.5× 2.2k 2.1× 1.2k 1.9× 62 0.1× 778 2.8× 44 3.9k
Kailash C. Pandey India 22 1.1k 1.0× 731 0.7× 350 0.6× 80 0.2× 194 0.7× 92 2.2k
Andrew Lees United States 34 201 0.2× 924 0.9× 2.1k 3.4× 155 0.3× 188 0.7× 90 4.1k
Martine Pugnière France 32 168 0.2× 1.5k 1.4× 761 1.2× 77 0.2× 378 1.4× 112 3.1k
David T. Riglar Australia 20 1.1k 1.0× 868 0.8× 490 0.8× 22 0.0× 147 0.5× 28 2.3k

Countries citing papers authored by Brian Pulliam

Since Specialization
Citations

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

Fields of papers citing papers by Brian Pulliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Pulliam

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

All Works

9 of 9 papers shown
1.
Muttil, Pavan, C. Prego, Lucila Garcia‐Contreras, et al.. (2010). Immunization of Guinea Pigs with Novel Hepatitis B Antigen as Nanoparticle Aggregate Powders Administered by the Pulmonary Route. The AAPS Journal. 12(3). 330–337. 44 indexed citations
2.
Muttil, Pavan, Brian Pulliam, Lucila Garcia‐Contreras, et al.. (2010). Pulmonary Immunization of Guinea Pigs with Diphtheria CRM-197 Antigen as Nanoparticle Aggregate Dry Powders Enhance Local and Systemic Immune Responses. The AAPS Journal. 12(4). 699–707. 28 indexed citations
3.
Pulliam, Brian, et al.. (2010). Gene Expression, Bacteria Viability and Survivability Following Spray Drying of Mycobacterium smegmatis. Materials. 3(4). 2684–2724. 4 indexed citations
4.
Pulliam, Brian, Jean C. Sung, & David A. Edwards. (2007). Design of nanoparticle-based dry powder pulmonary vaccines. Expert Opinion on Drug Delivery. 4(6). 651–663. 31 indexed citations
5.
Sung, Jean C., Brian Pulliam, & David A. Edwards. (2007). Nanoparticles for drug delivery to the lungs. Trends in biotechnology. 25(12). 563–570. 488 indexed citations
6.
Haqq, Christopher M., Mehdi Nosrati, Daniel Sudilovsky, et al.. (2005). The gene expression signatures of melanoma progression. Proceedings of the National Academy of Sciences. 102(17). 6092–6097. 335 indexed citations
7.
Wong, Stephen T.C., et al.. (2003). An XML message broker framework for exchange and integration of microarray data. Bioinformatics. 19(14). 1844–1845. 4 indexed citations
8.
Bozdech, Zbynek, Manuel Llinás, Brian Pulliam, et al.. (2003). The Transcriptome of the Intraerythrocytic Developmental Cycle of Plasmodium falciparum. PLoS Biology. 1(1). e5–e5. 1251 indexed citations breakdown →
9.
Bozdech, Zbynek, Jingchun Zhu, Marcin P. Joachimiak, et al.. (2003). Expression profiling of the schizont and trophozoite stages of Plasmodium falciparumwith a long-oligonucleotide microarray. Genome biology. 4(2). R9–R9. 290 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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