Mortimer P. Starr
Impact in
- Endocrinology top 2%
- Biotechnology top 1%
Papers in
-
- Microbial Metabolism and Applications 14
-
- Plant Pathogenic Bacteria Studies 25
- Plant-Microbe Interactions and Immunity 9
- Co-authors
- Arthur G. Andrewes (4 shared papers)Francis Moran (3 shared papers)Ramon J. Seidler (3 shared papers)Seiichi Nasuno (3 shared papers)Arun Kr. Chatterjee (9 shared papers)H. J. Phaff (1 shared paper)Wendell W. Kilgore (6 shared papers)Jean M. Schmidt (12 shared papers)
- Journals
- Current Microbiology (21 papers)Journal of Bacteriology (19 papers)Archives of Microbiology (12 papers)Archives of Biochemistry and Biophysics (4 papers)Canadian Journal of Microbiology (3 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Mortimer P. Starr
97 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 141
- Endocrinology 314
- Biotechnology 467
- Biochemistry 256
- Plant Science 1.4k
- Molecular Medicine 144
Countries citing papers authored by Mortimer P. Starr
This map shows the geographic impact of Mortimer P. Starr'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 Mortimer P. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mortimer P. Starr more than expected).
Fields of papers citing papers by Mortimer P. Starr
This network shows the impact of papers produced by Mortimer P. Starr. 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 Mortimer P. Starr. The network helps show where Mortimer P. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Mortimer P. Starr, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 246 | |
| 2 | 1968 | 163 | |
| 3 | 1981 | 147 | |
| 4 | 1969 | 129 | |
| 5 | 1962 | 118 | |
| 6 | 1976 | 114 | |
| 7 | 1966 | 108 | |
| 8 | 1957 | 106 | |
| 9 | 1969 | 91 | |
| 10 | 1977 | 91 | |
| 11 | 1966 | 85 | |
| 12 | 1977 | 82 | |
| 13 | 1981 | 74 | |
| 14 | 1951 | 71 | |
| 15 | 1979 | 62 | |
| 16 | 1979 | 60 | |
| 17 | 1965 | 59 | |
| 18 | 1979 | 59 | |
| 19 | 1977 | 58 | |
| 20 | 1964 | 55 |
About Mortimer P. Starr
Mortimer P. Starr is a scholar working on Biotechnology, Plant Science, Ecology, Endocrinology and Molecular Biology, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (25 papers), Microbial Community Ecology and Physiology (15 papers), Microbial Metabolism and Applications (14 papers), Genomics and Phylogenetic Studies (13 papers), Plant Pathogens and Fungal Diseases (10 papers), Plant-Microbe Interactions and Immunity (9 papers), Algal biology and biofuel production (8 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Endocrinology (314 citations), Biotechnology (467 citations), Biochemistry (256 citations), Plant Science (1.4k citations) and Molecular Medicine (144 citations). Mortimer P. Starr has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Arthur G. Andrewes, Francis Moran, Ramon J. Seidler, Seiichi Nasuno, Arun Kr. Chatterjee, H. J. Phaff, Wendell W. Kilgore, Jean M. Schmidt, Daisy A. Kuhn and Nobuo Murata. Their work appears in journals such as Current Microbiology, Journal of Bacteriology, Archives of Microbiology, Archives of Biochemistry and Biophysics and Canadian Journal of Microbiology.
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.