Alan Mitchell Durham

1.3k total citations
36 papers, 814 citations indexed

About

Alan Mitchell Durham is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Alan Mitchell Durham has authored 36 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Artificial Intelligence and 6 papers in Cancer Research. Recurrent topics in Alan Mitchell Durham's work include Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (8 papers) and Cancer-related molecular mechanisms research (6 papers). Alan Mitchell Durham is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (8 papers) and Cancer-related molecular mechanisms research (6 papers). Alan Mitchell Durham collaborates with scholars based in Brazil, United States and Colombia. Alan Mitchell Durham's co-authors include Arthur Gruber, Sylvia Cardoso Leão, Hernando A. del Portillo, Alexandre Rossi Paschoal, Ariane Machado‐Lima, Cristina Viana-Niero, Maria Luiza Diniz de Sousa Lopes, Karla Valéria Batista Lima, Robert D. Arbeit and Érica Chimara and has published in prestigious journals such as Bioinformatics, Journal of Bacteriology and Journal of Clinical Microbiology.

In The Last Decade

Alan Mitchell Durham

35 papers receiving 797 citations

Peers

Alan Mitchell Durham

EPIDE

Prapat Suriyaphol Thailand

Christian Savard Canada

Mark R. Hall United States

Jun-Jun He China

Axel Martinelli United Kingdom

Timothy Alefantis United States

Adam J. Reid United Kingdom

Nathalie Moiré France

Suresh H. Basagoudanavar India

Ali Zohaib China

Prapat Suriyaphol Thailand

Alan Mitchell Durham

210 ×0.7

171 ×0.7

EPIDE

101 ×0.5

238 ×1.6

41 ×0.4

Citations per year, relative to Alan Mitchell Durham Alan Mitchell Durham (= 1×) peers Prapat Suriyaphol

Countries citing papers authored by Alan Mitchell Durham

Since Specialization

Citations

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

Fields of papers citing papers by Alan Mitchell Durham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Mitchell Durham. 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 Alan Mitchell Durham. The network helps show where Alan Mitchell Durham may publish in the future.

Co-authorship network of co-authors of Alan Mitchell Durham

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

All Works

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20 of 20 papers shown

Maracaja‐Coutinho, Vinicius, et al.. (2019). Noncoding RNAs Databases: Current Status and Trends. Methods in molecular biology. 1912. 251–285. 30 indexed citations

Alves, João M. P., André Luiz de Oliveira, Liliane Santana Oliveira, et al.. (2016). GenSeed-HMM: A Tool for Progressive Assembly Using Profile HMMs as Seeds and its Application in Alpavirinae Viral Discovery from Metagenomic Data. Frontiers in Microbiology. 7. 269–269. 20 indexed citations

Severino, Patrícia, Liliane Santana Oliveira, Natália Torres, et al.. (2015). Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma. BMC Medical Genomics. 8(1). 31–31. 36 indexed citations

Passetti, Fábio, et al.. (2014). Using Bioinformatics Tools to Study the Role of microRNA in Cancer. Methods in molecular biology. 1168. 99–116. 4 indexed citations

Severino, Patrícia, Liliane Santana Oliveira, Natália Torres, et al.. (2013). High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer research. BMC Genomics. 14(1). 735–735. 12 indexed citations

Durham, Alan Mitchell, et al.. (2013). ToPS: A Framework to Manipulate Probabilistic Models of Sequence Data. PLoS Computational Biology. 9(10). e1003234–e1003234. 5 indexed citations

Rangel, Luiz Thibério, et al.. (2013). The Eimeria Transcript DB: an integrated resource for annotated transcripts of protozoan parasites of the genus Eimeria. Database. 2013. bat006–bat006. 6 indexed citations

Rangel, Luiz Thibério, Milene Ferro, Ricardo Y. Abe, et al.. (2011). A comparative transcriptome analysis reveals expression profiles conserved across three Eimeria spp. of domestic fowl and associated with multiple developmental stages. International Journal for Parasitology. 42(1). 39–48. 33 indexed citations

Machado‐Lima, Ariane, et al.. (2010). Decreasing the number of false positives in sequence classification. BMC Genomics. 11(Suppl 5). S10–S10. 5 indexed citations

10.

Araújo, Flávio Marcos Gomes, Ariane Machado‐Lima, Alan Mitchell Durham, Rosângela Teixeira, & Guilherme Oliveira. (2009). Sequence and structural analysis of the 5′ noncoding region of hepatitis C virus in patients with chronic infection. Journal of Medical Virology. 81(7). 1212–1219. 2 indexed citations

11.

Chimara, Érica, Lucilaine Ferrazoli, Maria Conceição Martins, et al.. (2008). Reliable identification of mycobacterial species by PCR-restriction enzyme analysis (PRA)-hsp65 in a reference laboratory and elaboration of a sequence-based extended algorithm of PRA-hsp65patterns. BMC Microbiology. 8(1). 48–48. 103 indexed citations

12.

Calvo, Eric, Emilio F. Merino, Alan Mitchell Durham, et al.. (2006). A transcriptome analysis of the Aedes aegypti vitellogenic fat body. Journal of Insect Science. 6(6). 1–26. 21 indexed citations

13.

Albrecht, Letusa, Emilio F. Merino, Marcelo U. Ferreira, et al.. (2006). Extense variant gene family repertoire overlap in Western Amazon Plasmodium falciparum isolates. Molecular and Biochemical Parasitology. 150(2). 157–165. 32 indexed citations

14.

Malafronte, Rosely S., Gerhard Wunderlich, Alan Mitchell Durham, et al.. (2006). Origins of sequence diversity in the malaria vaccine candidate merozoite surface protein-2 (MSP-2) in Amazonian isolates of Plasmodium falciparum. Gene. 376(2). 224–230. 16 indexed citations

15.

Merino, Emilio F., Carmen Fernández-Becerra, Alan Mitchell Durham, et al.. (2006). Multi-character population study of the vir subtelomeric multigene superfamily of Plasmodium vivax, a major human malaria parasite. Molecular and Biochemical Parasitology. 149(1). 10–16. 28 indexed citations

16.

Katsuyama, Ãngela M., et al.. (2004). Characterization of SCAR markers of spp. of domestic fowl and construction of a public relational database (The SCARdb). FEMS Microbiology Letters. 238(1). 183–188. 6 indexed citations

17.

Merino, Emilio F., Carmen Fernández-Becerra, Alan Mitchell Durham, et al.. (2003). Pilot survey of expressed sequence tags (ESTs) from the asexual blood stages of Plasmodium vivax in human patients. Malaria Journal. 2(1). 21–21. 7 indexed citations

18.

Durham, Alan Mitchell, et al.. (2003). A framework for building language interpreters. 1 indexed citations

19.

Durham, Alan Mitchell. (1997). Implementing run-time systems in a compiler.

20.

Durham, Alan Mitchell & Ralph E. Johnson. (1996). A framework for run-time systems and its visual programming language. 406–420. 9 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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