John J. Sullivan
Impact in
- Environmental Chemistry top 0.5%
- Marine Toxins and Detection Methods
- Aquatic Ecosystems and Phytoplankton Dynamics
- Equine top 1%
Papers in
- Equine 4
- Co-authors
- Donald M. AndersonJeffrey R. SaffleD. M. KulisSherwood HallRaymond J. AndersenGregory L. BoyerF. J. R. TaylorWayne T. Iwaoka
- Journals
- Journal of Food Science (5 papers)The American Journal of Surgery (4 papers)Theriogenology (4 papers)Journal of The Electrochemical Society (4 papers)Journal of Pediatric Surgery (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John J. Sullivan
160 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 205
- Environmental Chemistry 1.2k
- Equine 112
- Oceanography 806
- Reproductive Medicine 449
- General Psychology 36
Countries citing papers authored by John J. Sullivan
This map shows the geographic impact of John J. Sullivan'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 John J. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Sullivan more than expected).
Fields of papers citing papers by John J. Sullivan
This network shows the impact of papers produced by John J. Sullivan. 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 John J. Sullivan. The network helps show where John J. Sullivan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John J. Sullivan, 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 | 2021 | 11 | |
| 2 | 2014 | 0 | |
| 3 | 2001 | 43 | |
| 4 | 1997 | 18 | |
| 5 | Aquatic Macrophytes of Two Small Northwest Arkansas Reservoirs | 1994 | 1 |
| 6 | 1994 | 38 | |
| 7 | 1991 | 72 | |
| 8 | 1991 | 9 | |
| 9 | 1990 | 37 | |
| 10 | 1990 | 13 | |
| 11 | 1990 | 129 | |
| 12 | 1989 | 74 | |
| 13 | 1988 | 76 | |
| 14 | 1987 | 16 | |
| 15 | 1987 | 66 | |
| 16 | 1986 | 59 | |
| 17 | 1974 | 4 | |
| 18 | 1973 | 14 | |
| 19 | A model for bitter peptide formation and degradation in cultured dairy products. | 1970 | 5 |
| 20 | Pyrroli-donecarboxylyl peptidase activity in Streptococcus cremoris ML1. | 1970 | 5 |
About John J. Sullivan
John J. Sullivan is a scholar working on Computational Mathematics, Equine, General Psychology, Environmental Chemistry and Reproductive Medicine, having authored 171 papers that have together received 4.5k indexed citations. Recurring topics across this work include Semiconductor materials and devices (15 papers), Marine Toxins and Detection Methods (14 papers), Reproductive Physiology in Livestock (11 papers), Sperm and Testicular Function (11 papers), Copper Interconnects and Reliability (9 papers), Burn Injury Management and Outcomes (8 papers), Environmental Toxicology and Ecotoxicology (7 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Environmental Chemistry (1.2k citations), Equine (112 citations), Oceanography (806 citations), Reproductive Medicine (449 citations) and General Psychology (36 citations). John J. Sullivan has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Donald M. Anderson, Jeffrey R. Saffle, D. M. Kulis, Sherwood Hall, Raymond J. Andersen, Gregory L. Boyer, F. J. R. Taylor, Wayne T. Iwaoka, C. Lee and J. Liston. Their work appears in journals such as Journal of Food Science, The American Journal of Surgery, Theriogenology, Journal of The Electrochemical Society and Journal of Pediatric Surgery.
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.