N. E. MUGGLI‐COCKETT
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- T-cell and Retrovirus Studies
- Aquaculture disease management and microbiota
Papers in
-
- Microbial infections and disease research 5
-
- T-cell and B-cell Immunology 4
- T-cell and Retrovirus Studies 3
- Co-authors
- ROGER T. STONE (7 shared papers)L. V. Cundiff (1 shared paper)KEITH E. GREGORY (1 shared paper)Philip W. Hedrick (1 shared paper)M. C. T. Penedo (1 shared paper)Steven T. Kalinowski (1 shared paper)Walter Miles Boyce (1 shared paper)Rob R. Ramey (1 shared paper)
- Journals
- Animal Genetics (9 papers)Journal of Animal Science (2 papers)Journal of Dairy Science (1 paper)Genetics (1 paper)International Journal of Immunogenetics (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
N. E. MUGGLI‐COCKETT
14 papers receiving 552 citations
Peers
Comparison fields: 5 of 52
- Microbiology 181
- Immunology 333
- Agronomy and Crop Science 158
- Genetics 182
- Ecology, Evolution, Behavior and Systematics 69
Countries citing papers authored by N. E. MUGGLI‐COCKETT
This map shows the geographic impact of N. E. MUGGLI‐COCKETT'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 N. E. MUGGLI‐COCKETT with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. E. MUGGLI‐COCKETT more than expected).
Fields of papers citing papers by N. E. MUGGLI‐COCKETT
This network shows the impact of papers produced by N. E. MUGGLI‐COCKETT. 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 N. E. MUGGLI‐COCKETT. The network helps show where N. E. MUGGLI‐COCKETT may publish in the future.
Co-authors
The 25 scholars most cited alongside N. E. MUGGLI‐COCKETT, 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 | 1997 | 120 | |
| 2 | 1997 | 104 | |
| 3 | 1992 | 67 | |
| 4 | 1991 | 58 | |
| 5 | 1994 | 52 | |
| 6 | 1988 | 41 | |
| 7 | 1989 | 37 | |
| 8 | 1997 | 37 | |
| 9 | 1990 | 37 | |
| 10 | 1993 | 17 | |
| 11 | 1991 | 11 | |
| 12 | 1992 | 3 | |
| 13 | 1992 | 3 | |
| 14 | 1993 | 2 |
About N. E. MUGGLI‐COCKETT
N. E. MUGGLI‐COCKETT is a scholar working on Microbiology, Immunology, Agronomy and Crop Science, Genetics and Pharmacy, having authored 14 papers that have together received 589 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), T-cell and B-cell Immunology (4 papers), T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (3 papers), Diabetes and associated disorders (2 papers), Genetic and phenotypic traits in livestock (2 papers), RNA and protein synthesis mechanisms (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Microbiology (181 citations), Immunology (333 citations), Agronomy and Crop Science (158 citations), Genetics (182 citations) and Ecology, Evolution, Behavior and Systematics (69 citations). N. E. MUGGLI‐COCKETT has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include ROGER T. STONE, L. V. Cundiff, KEITH E. GREGORY, Philip W. Hedrick, M. C. T. Penedo, Steven T. Kalinowski, Walter Miles Boyce, Rob R. Ramey, Morris Burke and Jan J. van der Poel. Their work appears in journals such as Animal Genetics, Journal of Animal Science, Journal of Dairy Science, Genetics and International Journal of Immunogenetics.
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.