Peter L. Blair

2.8k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Peter L. Blair is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Molecular Biology. According to data from OpenAlex, Peter L. Blair has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 11 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Peter L. Blair's work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (9 papers) and Invertebrate Immune Response Mechanisms (7 papers). Peter L. Blair is often cited by papers focused on Malaria Research and Control (16 papers), Mosquito-borne diseases and control (9 papers) and Invertebrate Immune Response Mechanisms (7 papers). Peter L. Blair collaborates with scholars based in United States, United Kingdom and Australia. Peter L. Blair's co-authors include Daniel J. Carucci, Yingyao Zhou, Karine G. Le Roch, Elizabeth A. Winzeler, Patricia De La Vega, Serge Batalov, J. Kathleen Moch, Anthony A. Holder, J. David Haynes and John H. Adams and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Peter L. Blair

17 papers receiving 2.1k citations

Hit Papers

Discovery of Gene Function by Expression Profiling of the... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter L. Blair United States 14 1.6k 805 769 306 250 18 2.2k
Alfred Cortés Spain 28 1.8k 1.1× 919 1.1× 825 1.1× 257 0.8× 175 0.7× 52 2.2k
G V Brown Australia 21 1.7k 1.0× 718 0.9× 535 0.7× 396 1.3× 280 1.1× 30 2.1k
Nirbhay Kumar United States 27 1.3k 0.8× 822 1.0× 607 0.8× 425 1.4× 260 1.0× 56 2.1k
Irene T. Ling United Kingdom 27 1.7k 1.0× 848 1.1× 485 0.6× 377 1.2× 252 1.0× 36 2.0k
Ellen Knuepfer United Kingdom 25 1.9k 1.2× 657 0.8× 618 0.8× 425 1.4× 507 2.0× 39 2.4k
Patricia De La Vega United States 22 2.5k 1.5× 1.1k 1.4× 1.0k 1.4× 492 1.6× 397 1.6× 34 3.1k
Matthew T. O’Neill Australia 22 1.7k 1.0× 609 0.8× 546 0.7× 453 1.5× 365 1.5× 34 2.2k
Tomoko Ishino Japan 20 1.5k 0.9× 735 0.9× 560 0.7× 440 1.4× 275 1.1× 57 2.1k
Sue Kyes United Kingdom 29 2.8k 1.7× 1.4k 1.7× 801 1.0× 477 1.6× 315 1.3× 36 3.4k
Céline Carret United Kingdom 20 1.1k 0.7× 631 0.8× 580 0.8× 357 1.2× 206 0.8× 25 1.8k

Countries citing papers authored by Peter L. Blair

Since Specialization
Citations

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

Fields of papers citing papers by Peter L. Blair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter L. Blair. 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 Peter L. Blair. The network helps show where Peter L. Blair may publish in the future.

Co-authorship network of co-authors of Peter L. Blair

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

All Works

18 of 18 papers shown
2.
Smith, Chris R., et al.. (2016). Microbial community responses to soil tillage and crop rotation in a corn/soybean agroecosystem. Ecology and Evolution. 6(22). 8075–8084. 99 indexed citations
3.
Doolan, Denise L., Yunxiang Mu, Berkay Unal, et al.. (2008). Profiling humoral immune responses to P. falciparum infection with protein microarrays. PROTEOMICS. 8(22). 4680–4694. 199 indexed citations
4.
Balu, Bharath, Peter L. Blair, & John H. Adams. (2008). Identification of the transcription initiation site reveals a novel transcript structure for Plasmodium falciparum maebl. Experimental Parasitology. 121(1). 110–114. 6 indexed citations
5.
Sacci, John B., José M. C. Ribeiro, Feng‐Ying Huang, et al.. (2005). Transcriptional analysis of in vivo Plasmodium yoelii liver stage gene expression. Molecular and Biochemical Parasitology. 142(2). 177–183. 40 indexed citations
6.
Young, Jason A., Quinton L. Fivelman, Peter L. Blair, et al.. (2005). The Plasmodium falciparum sexual development transcriptome: A microarray analysis using ontology-based pattern identification. Molecular and Biochemical Parasitology. 143(1). 67–79. 250 indexed citations
7.
Blair, Peter L. & Daniel J. Carucci. (2005). Functional Proteome and Expression Analysis of Sporozoites and Hepatic Stages of Malaria Development. Current topics in microbiology and immunology. 295. 417–438. 8 indexed citations
8.
Fu, Jun, Fabián E. Saénz, Michael B. Reed, et al.. (2005). Targeted disruption of maebl in Plasmodium falciparum. Molecular and Biochemical Parasitology. 141(1). 113–117. 9 indexed citations
9.
Singh, Naresh, Peter R. Preiser, Laurent Rénia, et al.. (2004). Conservation and Developmental Control of Alternative Splicing in maebl Among Malaria Parasites. Journal of Molecular Biology. 343(3). 589–599. 36 indexed citations
10.
Aguiar, João C., Joshua LaBaer, Peter L. Blair, et al.. (2004). High-Throughput Generation of P. falciparum Functional Molecules by Recombinational Cloning. Genome Research. 14(10b). 2076–2082. 52 indexed citations
11.
Preiser, Peter R., Laurent Rénia, Naresh Singh, et al.. (2004). Antibodies against MAEBL Ligand Domains M1 and M2 Inhibit Sporozoite Development In Vitro. Infection and Immunity. 72(6). 3604–3608. 40 indexed citations
12.
Haddad, Diana, Adam A. Witney, Jane M. Carlton, et al.. (2004). Novel Antigen Identification Method for Discovery of Protective Malaria Antigens by Rapid Testing of DNA Vaccines Encoding Exons from the Parasite Genome. Infection and Immunity. 72(3). 1594–1602. 25 indexed citations
13.
Roch, Karine G. Le, Yingyao Zhou, Peter L. Blair, et al.. (2003). Discovery of Gene Function by Expression Profiling of the Malaria Parasite Life Cycle. Science. 301(5639). 1503–1508. 998 indexed citations breakdown →
14.
Doolan, Denise L., Walter R. Weiss, Alessandro Sette, et al.. (2003). Utilization of genomic sequence information to develop malaria vaccines. Journal of Experimental Biology. 206(21). 3789–3802. 56 indexed citations
15.
Blair, Peter L.. (2002). Transcripts of developmentally regulated Plasmodium falciparum genes quantified by real-time RT-PCR. Nucleic Acids Research. 30(10). 2224–2231. 67 indexed citations
16.
Blair, Peter L., et al.. (2002). Plasmodium falciparum MAEBL is a unique member of the ebl family. Molecular and Biochemical Parasitology. 122(1). 35–44. 34 indexed citations
17.
Adams, John H., Peter L. Blair, Osamu Kaneko, & David S. Peterson. (2001). An expanding ebl family of Plasmodium falciparum. Trends in Parasitology. 17(6). 297–299. 149 indexed citations
18.
Kappe, Stefan H. I., Amy R. Noe, Tresa S. Fraser, Peter L. Blair, & John H. Adams. (1998). A family of chimeric erythrocyte binding proteins of malaria parasites. Proceedings of the National Academy of Sciences. 95(3). 1230–1235. 97 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