Debra E. Huffman

978 total citations
33 papers, 725 citations indexed

About

Debra E. Huffman is a scholar working on Biophysics, Parasitology and Infectious Diseases. According to data from OpenAlex, Debra E. Huffman has authored 33 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biophysics, 10 papers in Parasitology and 8 papers in Infectious Diseases. Recurrent topics in Debra E. Huffman's work include Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Parasitic Infections and Diagnostics (10 papers) and Fecal contamination and water quality (6 papers). Debra E. Huffman is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Parasitic Infections and Diagnostics (10 papers) and Fecal contamination and water quality (6 papers). Debra E. Huffman collaborates with scholars based in United States and Australia. Debra E. Huffman's co-authors include Joan B. Rose, Angela Gennaccaro, Theresa R. Slifko, Luis H. García‐Rubio, W. D. King, J. E. Dye, M. R. McLaughlin, Ernest R. Blatchley, John T. Lisle and James E. Alleman and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Optics Express.

In The Last Decade

Debra E. Huffman

32 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra E. Huffman United States 13 287 255 188 107 72 33 725
Thomas M. Hargy United States 10 189 0.7× 182 0.7× 169 0.9× 234 2.2× 34 0.5× 13 843
Stephen A. Craik Canada 14 183 0.6× 263 1.0× 225 1.2× 200 1.9× 57 0.8× 30 864
Will Robertson Canada 12 224 0.8× 237 0.9× 270 1.4× 79 0.7× 93 1.3× 14 731
Amy Polaczyk United States 9 56 0.2× 200 0.8× 174 0.9× 64 0.6× 55 0.8× 14 574
David E. John United States 12 85 0.3× 123 0.5× 175 0.9× 58 0.5× 44 0.6× 16 577
Otto D. Simmons United States 15 123 0.4× 129 0.5× 470 2.5× 212 2.0× 78 1.1× 25 896
Zia Bukhari United States 21 641 2.2× 379 1.5× 307 1.6× 346 3.2× 63 0.9× 41 1.3k
D. G. Korich United States 7 603 2.1× 311 1.2× 182 1.0× 139 1.3× 70 1.0× 8 933
Jean‐Baptiste Burnet Canada 13 125 0.4× 212 0.8× 196 1.0× 63 0.6× 36 0.5× 28 545
Michael Messner United States 11 100 0.3× 172 0.7× 294 1.6× 211 2.0× 165 2.3× 24 680

Countries citing papers authored by Debra E. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by Debra E. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra E. Huffman. 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 Debra E. Huffman. The network helps show where Debra E. Huffman may publish in the future.

Co-authorship network of co-authors of Debra E. Huffman

This figure shows the co-authorship network connecting the top 25 collaborators of Debra E. Huffman. A scholar is included among the top collaborators of Debra E. Huffman 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 Debra E. Huffman. Debra E. Huffman 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.
Milhous, Wilbur K., et al.. (2013). Spectrophotometric detection of susceptibility to anti-malarial drugs. Malaria Journal. 12(1). 305–305. 3 indexed citations
2.
Roth, Alison, et al.. (2013). Multiwavelength Transmission Spectroscopy Revisited for the Characterization of the Protein and Polystyrene Nanoparticle Interactions. Applied Spectroscopy. 67(1). 86–92. 1 indexed citations
3.
Smith, Jennifer M., et al.. (2012). Reagent-free bacterial identification using multivariate analysis of transmission spectra. Journal of Biomedical Optics. 17(10). 1070021–1070021. 7 indexed citations
4.
Huffman, Debra E., et al.. (2009). New method for the detection of micro-organisms in blood: application of quantitative interpretation model to aerobic blood cultures. Journal of Biomedical Optics. 14(3). 34043–34043. 2 indexed citations
5.
Smith, Jennifer M., et al.. (2008). Quantitative interpretations of Visible-NIR reflectance spectra of blood. Optics Express. 16(22). 18215–18215. 14 indexed citations
6.
7.
Smith, Jennifer M., et al.. (2008). A new method for the detection of microorganisms in blood cultures: Part I. Theoretical analysis and simulation of blood culture processes. The Canadian Journal of Chemical Engineering. 86(5). 947–959. 12 indexed citations
8.
Blatchley, Ernest R., et al.. (2007). Effects of Wastewater Disinfection on Waterborne Bacteria and Viruses. Water Environment Research. 79(1). 81–92. 71 indexed citations
9.
Coulliette, Angela D., Debra E. Huffman, Theresa R. Slifko, & Joan B. Rose. (2006). CRYPTOSPORIDIUM PARVUM: TREATMENT EFFECTS AND THE RATE OF DECLINE IN OOCYST INFECTIVITY. Journal of Parasitology. 92(1). 58–62. 8 indexed citations
10.
Molloy, Stephanie L., et al.. (2006). Detection of Cryptosporidium parvum Oocysts in Sediment and Biosolids by Immunomagnetic Separation. Water Environment Research. 78(9). 1013–1016. 9 indexed citations
11.
Huffman, Debra E., et al.. (2006). Detection of Infectious Parasites in Reclaimed Water. Water Environment Research. 78(12). 2297–2302. 9 indexed citations
12.
Patterson, Stacey S., Mark W. Smith, Erica T. Casper, et al.. (2006). A nucleic acid sequence-based amplification assay for real-time detection of norovirus genogroup II. Journal of Applied Microbiology. 101(4). 956–963. 19 indexed citations
13.
Jacangelo, Joseph G., et al.. (2005). Advances in the use of low-pressure, hollow fiber membranes for the disinfection of water. Water Science & Technology Water Supply. 5(5). 109–115. 9 indexed citations
14.
García‐Rubio, Luis H., et al.. (2004). A new spectroscopy method for in situ rapid detection and classification of micro-organisms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5585. 88–88. 2 indexed citations
15.
Huffman, Debra E., Kara L. Nelson, & Joan B. Rose. (2003). Calicivirus—An Emerging Contaminant in Water: State of the Art. Environmental Engineering Science. 20(5). 503–515. 5 indexed citations
16.
Gennaccaro, Angela, et al.. (2003). Infectious Cryptosporidium parvum Oocysts in Final Reclaimed Effluent. Applied and Environmental Microbiology. 69(8). 4983–4984. 64 indexed citations
17.
Slifko, Theresa R., Debra E. Huffman, Bertrand Dussert, et al.. (2002). Comparison of tissue culture and animal models for assessment of Cryptospridium parvum infection. Experimental Parasitology. 101(2-3). 97–106. 25 indexed citations
18.
Huffman, Debra E.. (2002). Low- and medium-pressure UV inactivation of microsporidia Encephalitozoon intestinalis. Water Research. 36(12). 3161–3164. 28 indexed citations
19.
Rose, Joan B., Debra E. Huffman, & Angela Gennaccaro. (2002). Risk and control of waterborne cryptosporidiosis. FEMS Microbiology Reviews. 26(2). 113–123. 123 indexed citations
20.
Rose, Joan B., et al.. (2001). Reduction of Enteric Microorganisms at the Upper Occoquan Sewage Authority Water Reclamation Plant. Water Environment Research. 73(6). 711–720. 25 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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