Malcolm S. Shields
Impact in
- Pollution top 1%
- Microbial bioremediation and biosurfactants
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
- Pollution 12
- Microbial bioremediation and biosurfactants 12
-
- Escherichia coli research studies 3
- Co-authors
- Gary S. Sayler (4 shared papers)Scott W. Hooper (2 shared papers)S M Cuskey (2 shared papers)Stacy O. Montgomery (2 shared papers)Parmely H. Pritchard (3 shared papers)Peter J. Chapman (1 shared paper)Charles C. Somerville (1 shared paper)Karl M. Sirotkin (1 shared paper)
- Journals
- Applied and Environmental Microbiology (7 papers)Journal of Bacteriology (4 papers)Journal of Microbiological Methods (3 papers)Gene Expression (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Malcolm S. Shields
27 papers receiving 967 citations
Peers
Comparison fields: 5 of 38
- Pollution 534
- Endocrinology 43
- Process Chemistry and Technology 8
- Genetics 95
- Environmental Engineering 32
Countries citing papers authored by Malcolm S. Shields
This map shows the geographic impact of Malcolm S. Shields'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 Malcolm S. Shields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm S. Shields more than expected).
Fields of papers citing papers by Malcolm S. Shields
This network shows the impact of papers produced by Malcolm S. Shields. 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 Malcolm S. Shields. The network helps show where Malcolm S. Shields may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm S. Shields, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 177 | |
| 2 | 1985 | 145 | |
| 3 | 1995 | 110 | |
| 4 | 1985 | 100 | |
| 5 | 1992 | 86 | |
| 6 | 1991 | 76 | |
| 7 | 1986 | 62 | |
| 8 | 2007 | 39 | |
| 9 | 1996 | 38 | |
| 10 | 2003 | 31 | |
| 11 | 2014 | 24 | |
| 12 | 2001 | 21 | |
| 13 | 1984 | 18 | |
| 14 | 1986 | 18 | |
| 15 | 1983 | 17 | |
| 16 | 1987 | 12 | |
| 17 | 2009 | 11 | |
| 18 | 2010 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2008 | 10 |
About Malcolm S. Shields
Malcolm S. Shields is a scholar working on Pollution, Endocrinology, Genetics, Environmental Engineering and Biotechnology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (12 papers), Bacterial Genetics and Biotechnology (4 papers), Escherichia coli research studies (3 papers), Microbial Fuel Cells and Bioremediation (2 papers), Microbial Community Ecology and Physiology (1 paper) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Pollution (534 citations), Endocrinology (43 citations), Process Chemistry and Technology (8 citations), Genetics (95 citations) and Environmental Engineering (32 citations). Malcolm S. Shields has collaborated with scholars based in United States and Japan. Frequent co-authors include Gary S. Sayler, Scott W. Hooper, S M Cuskey, Stacy O. Montgomery, Parmely H. Pritchard, Peter J. Chapman, Charles C. Somerville, Karl M. Sirotkin, A Breen and B C Kline. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology, Journal of Microbiological Methods, Gene Expression and Analytical Biochemistry.
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.