Kenneth E. Rudd
Impact in
- Endocrinology top 1%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 37
- Genomics and Phylogenetic Studies 26
- RNA modifications and cancer 10
- DNA Repair Mechanisms 5
- Machine Learning in Bioinformatics 5
- Genetics 39
- Bacterial Genetics and Biotechnology 38
- Co-authors
- Eugene V. Koonin (13 shared papers)Michael A. Lonetto (1 shared paper)K L Brown (1 shared paper)Mark J. Buttner (1 shared paper)Mark Borodovsky (4 shared papers)Roman L. Tatusov (4 shared papers)Jindan Zhou (3 shared papers)Michael Cashel (3 shared papers)
- Journals
- Journal of Bacteriology (16 papers)Nucleic Acids Research (7 papers)Computer applications in the biosciences (4 papers)Molecular Microbiology (4 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Kenneth E. Rudd
67 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 128
- Endocrinology 376
- Genetics 2.0k
- Molecular Biology 3.6k
- Molecular Medicine 236
- Ecology 946
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-authors
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
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 430 | |
| 2 | 1995 | 282 | |
| 3 | 1996 | 255 | |
| 4 | 1997 | 245 | |
| 5 | 2000 | 225 | |
| 6 | 2008 | 173 | |
| 7 | 2012 | 156 | |
| 8 | 1998 | 147 | |
| 9 | 1988 | 145 | |
| 10 | 2008 | 142 | |
| 11 | 1991 | 140 | |
| 12 | 1995 | 121 | |
| 13 | 2001 | 118 | |
| 14 | 1995 | 99 | |
| 15 | 1990 | 97 | |
| 16 | 1998 | 93 | |
| 17 | 1989 | 93 | |
| 18 | 1994 | 91 | |
| 19 | 1996 | 89 | |
| 20 | 1995 | 82 |
About Kenneth E. Rudd
Kenneth E. Rudd is a scholar working on Molecular Biology, Genetics, Ecology, Materials Chemistry and Endocrinology, having authored 68 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (38 papers), RNA and protein synthesis mechanisms (37 papers), Genomics and Phylogenetic Studies (26 papers), Bacteriophages and microbial interactions (15 papers), RNA modifications and cancer (10 papers), Enzyme Structure and Function (6 papers), DNA Repair Mechanisms (5 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Endocrinology (376 citations), Genetics (2.0k citations), Molecular Biology (3.6k citations), Molecular Medicine (236 citations) and Ecology (946 citations). Kenneth E. Rudd has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Eugene V. Koonin, Michael A. Lonetto, K L Brown, Mark J. Buttner, Mark Borodovsky, Roman L. Tatusov, Jindan Zhou, Michael Cashel, Murray P. Deutscher and Thomas D. Schneider. Their work appears in journals such as Journal of Bacteriology, Nucleic Acids Research, Computer applications in the biosciences, Molecular Microbiology and Journal of Molecular Biology.
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.