Robert W. Cottingham
- Genetics top 2%
- Genomics and Rare Diseases 2
- Genetic Mapping and Diversity in Plants and Animals 2
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 5
- Microbial Metabolic Engineering and Bioproduction 3
- Biomedical Text Mining and Ontologies 2
- Protist diversity and phylogeny 2
- Neurology top 5%
- Genetics top 5%
- Genomics and Rare Diseases 2
- Genetic Mapping and Diversity in Plants and Animals 2
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- Biofuel production and bioconversion 3
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- Enzyme Production and Characterization 3
- Co-authors
- Alejandro A. SchäfferRamana M. IdurySandeep GuptaDevendra K. VoraHoward M. CannMarek KimmelMargaret G. EhmMiriam Land
- Partner nations
- United StatesFranceGermany
In The Last Decade
Robert W. Cottingham
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 894
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 334
- Neurology 147
- Genetics 165
Countries citing papers authored by Robert W. Cottingham
This map shows the geographic impact of Robert W. Cottingham'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 Robert W. Cottingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Cottingham more than expected).
Fields of papers citing papers by Robert W. Cottingham
This network shows the impact of papers produced by Robert W. Cottingham. 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 Robert W. Cottingham. The network helps show where Robert W. Cottingham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert W. Cottingham, 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 | 2022 | 56 | |
| 2 | 2018 | 9 | |
| 3 | 2015 | 10 | |
| 4 | 2012 | 100 | |
| 5 | 2011 | 3 | |
| 6 | 2010 | 9 | |
| 7 | GENOME ANNOUNCEMENTS Complete Genome Sequence of the Cellulolytic Thermophile Caldicellulosiruptor obsidiansis OB47 T | 2010 | 2 |
| 8 | 2010 | 32 | |
| 9 | 1997 | 36 | |
| 10 | Error detection for genetic data, using likelihood methods. | 1996 | 55 |
| 11 | 1995 | 7 | |
| 12 | Avoiding Recomputation in Linkage Analysisbreakdown → | 1994 | 579 |
| 13 | 1994 | 55 | |
| 14 | 1994 | 117 | |
| 15 | 1994 | 92 | |
| 16 | Faster sequential genetic linkage computations.breakdown → | 1993 | 1119 |
| 17 | 1992 | 17 | |
| 18 | 1992 | 45 | |
| 19 | A gene for limb-girdle muscular dystrophy maps to chromosome 15 by linkage. | 1991 | 126 |
| 20 | 1960 | 9 |
About Robert W. Cottingham
Robert W. Cottingham is a scholar working on Biotechnology, Information Systems and Management, Software, Molecular Biology and Genetics, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Biofuel production and bioconversion (3 papers), Enzyme Production and Characterization (3 papers), Genomics and Rare Diseases (2 papers), Biomedical Text Mining and Ontologies (2 papers), Protist diversity and phylogeny (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Genetics (894 citations), Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (334 citations), Neurology (147 citations) and Genetics (165 citations). Robert W. Cottingham has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Alejandro A. Schäffer, Ramana M. Idury, Sandeep Gupta, Devendra K. Vora, Howard M. Cann, Marek Kimmel, Margaret G. Ehm, Miriam Land, Armin Volz and John Boyle. Their work appears in journals such as Genomics, Journal of Bacteriology, BMC Bioinformatics, Human Heredity and The Journal of Organic Chemistry.
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.