E W Goodell
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 4
- Biopolymer Synthesis and Applications 2
- Glycosylation and Glycoproteins Research 1
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Ulrich T. Schwarz (5 shared papers)Christopher F. Higgins (1 shared paper)Alexander Tomasz (2 shared papers)Karl‐Erik Eriksson (1 shared paper)Harald Labischinski (1 shared paper)Marcos A. Fázio (1 shared paper)R. M. Teather (1 shared paper)Uli Schwarz (1 shared paper)
- Journals
- Journal of Bacteriology (6 papers)Planta (2 papers)Molecular Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)FEBS Letters (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
E W Goodell
15 papers receiving 839 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 133
- Genetics 453
- Microbiology 94
- Endocrinology 76
- Ecology 239
Countries citing papers authored by E W Goodell
This map shows the geographic impact of E W Goodell'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 E W Goodell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E W Goodell more than expected).
Fields of papers citing papers by E W Goodell
This network shows the impact of papers produced by E W Goodell. 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 E W Goodell. The network helps show where E W Goodell may publish in the future.
Co-authors
The 12 scholars most cited alongside E W Goodell, 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 | 1985 | 195 | |
| 2 | 1987 | 154 | |
| 3 | 1985 | 149 | |
| 4 | 1991 | 90 | |
| 5 | 1976 | 64 | |
| 6 | 1974 | 54 | |
| 7 | 1983 | 50 | |
| 8 | 1978 | 34 | |
| 9 | 1974 | 32 | |
| 10 | 1990 | 31 | |
| 11 | 1974 | 23 | |
| 12 | 1975 | 19 | |
| 13 | 1983 | 18 | |
| 14 | 1971 | 6 | |
| 15 | 1971 | 3 |
About E W Goodell
E W Goodell is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Molecular Medicine, having authored 15 papers that have together received 922 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (4 papers), Biopolymer Synthesis and Applications (2 papers), Antibiotic Resistance in Bacteria (2 papers), Plant Pathogenic Bacteria Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Molecular Medicine (133 citations), Genetics (453 citations), Microbiology (94 citations), Endocrinology (76 citations) and Ecology (239 citations). E W Goodell has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Ulrich T. Schwarz, Christopher F. Higgins, Alexander Tomasz, Karl‐Erik Eriksson, Harald Labischinski, Marcos A. Fázio, R. M. Teather, Uli Schwarz, Wolfgang Keck and Marcel Huber. Their work appears in journals such as Journal of Bacteriology, Planta, Molecular Microbiology, Antimicrobial Agents and Chemotherapy and FEBS Letters.
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.