Debra E. Huffman

978 citations
33 papers · 725 indexed · h-index 13

Impact in

    • Parasitic Infections and Diagnostics
    • Amoebic Infections and Treatments
    • Viral gastroenteritis research and epidemiology

Papers in

    • Spectroscopy Techniques in Biomedical and Chemical Research 10
    • Parasitic Infections and Diagnostics 10

Debra E. Huffman

32 papers receiving 669 citations

Peers

Debra E. Huffman
Comparison fields: 5 of 88
  • Parasitology 287
  • Infectious Diseases 255
  • Water Science and Technology 188
  • Endocrinology 59
  • Health, Toxicology and Mutagenesis 107
Replace Stephen A. Craik with:
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Gwy‐Am Shin South Korea
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Debra E. Huffman relative to Stephen A. Craik Canada Stephen A. Craik's profile →
Citations per field
00.5×1.6×
Stephen A. Craik · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Debra E. Huffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Debra E. Huffman Line = papers co-authored together Debra E. Huffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002123
2 199973
3 200771
4 200364
5 198764
6 200058
7 200431
8 200228
9 200125
10 200225
11 200619
12 200814
13 201513
14 200812
15 200812
16 201211
17 200511
18 20069
19 20069
20 20059

About Debra E. Huffman

Debra E. Huffman is a scholar working on Biophysics, Parasitology, Infectious Diseases, Biomedical Engineering and Water Science and Technology, having authored 33 papers that have together received 725 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Parasitic Infections and Diagnostics (10 papers), Fecal contamination and water quality (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Amoebic Infections and Treatments (4 papers), Water Treatment and Disinfection (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Parasitology (287 citations), Infectious Diseases (255 citations), Water Science and Technology (188 citations), Endocrinology (59 citations) and Health, Toxicology and Mutagenesis (107 citations). Debra E. Huffman has collaborated with scholars based in United States and Australia. Frequent co-authors include Joan B. Rose, Angela Gennaccaro, Theresa R. Slifko, Luis H. García‐Rubio, W. D. King, J. E. Dye, M. R. McLaughlin, James E. Alleman, Ernest R. Blatchley and John T. Lisle. Their work appears in journals such as Water Environment Research, Applied Spectroscopy, Journal of Biomedical Optics, Applied and Environmental Microbiology and Water Research.

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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