Kenneth E. Rudd
- Endocrinology top 1%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 37
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 37
- Genomics and Phylogenetic Studies 26
- RNA modifications and cancer 9
- Machine Learning in Bioinformatics 6
- DNA Repair Mechanisms 5
- Molecular Medicine top 2%
- Ecology top 2%
- Bacteriophages and microbial interactions 15
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- Enzyme Structure and Function 6
- Co-authors
- Eugene V. KooninMark J. ButtnerK L BrownMichael A. LonettoMark BorodovskyRoman L. TatusovJindan ZhouMichael Cashel
- Journals
- Journal of Bacteriology (16 papers)Nucleic Acids Research (7 papers)Molecular Microbiology (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Kenneth E. Rudd
65 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 128
- Endocrinology 373
- Genetics 2.0k
- Molecular Biology 3.5k
- Molecular Medicine 228
- Ecology 933
Countries citing papers authored by Kenneth E. Rudd
This map shows the geographic impact of Kenneth E. Rudd'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 Kenneth E. Rudd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth E. Rudd more than expected).
Fields of papers citing papers by Kenneth E. Rudd
This network shows the impact of papers produced by Kenneth E. Rudd. 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 Kenneth E. Rudd. The network helps show where Kenneth E. Rudd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth E. Rudd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 19 | |
| 2 | 2011 | 4 | |
| 3 | 2011 | 26 | |
| 4 | 2008 | 134 | |
| 5 | 2008 | 170 | |
| 6 | 2006 | 71 | |
| 7 | 2004 | 29 | |
| 8 | 2001 | 113 | |
| 9 | 1999 | 65 | |
| 10 | 1998 | 50 | |
| 11 | 1998 | 142 | |
| 12 | 1996 | 242 | |
| 13 | 1996 | 71 | |
| 14 | 1995 | 78 | |
| 15 | 1994 | 60 | |
| 16 | 1993 | 42 | |
| 17 | 1992 | 12 | |
| 18 | 1991 | 68 | |
| 19 | 1990 | 90 | |
| 20 | 1990 | 7 |
About Kenneth E. Rudd
Kenneth E. Rudd is a scholar working on Genetics, Endocrinology, Molecular Biology, Ecology and Molecular Medicine, having authored 65 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), RNA and protein synthesis mechanisms (37 papers), Genomics and Phylogenetic Studies (26 papers), Bacteriophages and microbial interactions (15 papers), RNA modifications and cancer (9 papers), Machine Learning in Bioinformatics (6 papers), Enzyme Structure and Function (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Endocrinology (373 citations), Genetics (2.0k citations), Molecular Biology (3.5k citations), Molecular Medicine (228 citations) and Ecology (933 citations). Kenneth E. Rudd has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eugene V. Koonin, Mark J. Buttner, K L Brown, Michael A. Lonetto, Mark Borodovsky, Roman L. Tatusov, Jindan Zhou, Michael Cashel, Murray P. Deutscher and Edoardo Sarubbi. Their work appears in journals such as Journal of Bacteriology, Nucleic Acids Research, Molecular Microbiology, Journal of Molecular Biology and Proceedings of the National Academy of Sciences.
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.