John E. Houghton

1.5k citations
28 papers · 998 · h-index 17

Impact in

  • Pollution top 5%
    • Microbial bioremediation and biosurfactants
    • Amino Acid Enzymes and Metabolism

Papers in

    • Genomics and Phylogenetic Studies 3
    • Fungal and yeast genetics research 2
    • Bacterial Genetics and Biotechnology 11

John E. Houghton

27 papers receiving 974 citations

Peers

John E. Houghton
Comparison fields: 5 of 93
  • Pollution 204
  • Biochemistry 103
  • Genetics 303
  • Molecular Medicine 48
  • Molecular Biology 607
Replace Fumiyasu Fukumori with:
Fumiyasu Fukumori Japan
Marie‐Claire Pascal France
Abel Ferrández Spain
T G Lessie United States
E L Barrett United States
Patricia H. Clarke United Kingdom
Carsten Raasch Germany
Donna Langley United States
Juan Aguilar Spain
Kazutake Hirooka Japan
John E. Houghton relative to Fumiyasu Fukumori Japan Fumiyasu Fukumori's profile →
Citations per field
00.5×1.5×1.8×
Fumiyasu Fukumori · 1×
Citations per year

Countries citing papers authored by John E. Houghton

Since Specialization
Citations

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

Fields of papers citing papers by John E. Houghton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John E. Houghton, 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 John E. Houghton Line = papers co-authored together John E. Houghton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990117
2 200393
3 200588
4 199475
5 199574
6 199462
7 199262
8 200851
9 199944
10 198342
11 198442
12 200340
13 198839
14 199434
15 198926
16 199722
17 201818
18 198914
19 201312
20 202111

About John E. Houghton

John E. Houghton is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Biochemistry and Pollution, having authored 28 papers that have together received 998 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Amino Acid Enzymes and Metabolism (4 papers), Trace Elements in Health (4 papers), Microbial bioremediation and biosurfactants (3 papers), Genomics and Phylogenetic Studies (3 papers), Metabolism and Genetic Disorders (2 papers), Fungal and yeast genetics research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Pollution (204 citations), Biochemistry (103 citations), Genetics (303 citations), Molecular Medicine (48 citations) and Molecular Biology (607 citations). John E. Houghton has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Simon V. Avery, L. Nicholas Ornston, James R. Wild, Ahmed T. Abdelal, Gerard A. O’Donovan, Chung‐Dar Lu, Zhu Guo, Wayne M. Coco, Teri L. Aldrich and A. M. Chakrabarty. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Microbiology, Molecular Microbiology and Nature.

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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