Janet M. Wood

7.2k citations
93 papers · 5.6k · h-index 46

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 23
    • Protein Structure and Dynamics 13
    • RNA and protein synthesis mechanisms 9
    • Bacterial Genetics and Biotechnology 47

Janet M. Wood

93 papers receiving 5.4k citations

Peers

Janet M. Wood
Comparison fields: 5 of 140
  • Endocrinology 390
  • Biochemistry 494
  • Genetics 1.8k
  • Molecular Biology 3.5k
  • Molecular Medicine 205
Replace Gottfried Unden with:
Gottfried Unden Germany
László N. Csonka United States
Diego de Mendoza Argentina
Valley Stewart United States
Wolfgang Epstein United States
Thomas Ferenci Australia
Jonathan Reizer United States
Barry R. Bochner United States
Haike Antelmann Germany
Robert J. Kadner United States
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Citations per field
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Citations per year

Countries citing papers authored by Janet M. Wood

Since Specialization
Citations

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

Fields of papers citing papers by Janet M. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet M. Wood. 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 Janet M. Wood. The network helps show where Janet M. Wood may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999457
2 2001372
3 2015240
4 2010219
5 1996207
6 2009183
7 1983160
8 2007149
9 1993137
10 2004137
11 1986121
12 1988107
13 198198
14 199997
15 198895
16 198195
17 200992
18 199392
19 199990
20 198581

About Janet M. Wood

Janet M. Wood is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Biochemistry and Clinical Biochemistry, having authored 93 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (47 papers), Lipid Membrane Structure and Behavior (23 papers), Enzyme Structure and Function (22 papers), Amino Acid Enzymes and Metabolism (16 papers), Protein Structure and Dynamics (13 papers), Metabolism and Genetic Disorders (10 papers), RNA and protein synthesis mechanisms (9 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Endocrinology (390 citations), Biochemistry (494 citations), Genetics (1.8k citations), Molecular Biology (3.5k citations) and Molecular Medicine (205 citations). Janet M. Wood has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Doreen E. Culham, Tatyana Romantsov, Jocelyn L. Milner, Karen J. Miller, Bert Poolman, Turlough M. Finan, D. C. Jordan, Suzanne Grothé, F. R. Hallett and Eric D. Brown. Their work appears in journals such as Biochemistry, Journal of Bacteriology, Journal of Biological Chemistry, Biophysical Journal and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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