N. E. MUGGLI‐COCKETT
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- T-cell and B-cell Immunology 4
- T-cell and Retrovirus Studies 3
-
- RNA and protein synthesis mechanisms 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- R. T. Stone (7 shared papers)L. V. Cundiff (1 shared paper)K. E. Gregory (1 shared paper)Philip W. Hedrick (1 shared paper)Walter M. Boyce (1 shared paper)Steven T. Kalinowski (1 shared paper)M. C. T. Penedo (1 shared paper)Rob R. Ramey (1 shared paper)
- Journals
- Animal Genetics (9 papers)Journal of Animal Science (2 papers)International Journal of Immunogenetics (1 paper)Journal of Dairy Science (1 paper)Genetics (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
N. E. MUGGLI‐COCKETT
14 papers receiving 544 citations
Peers
Comparison fields: 5 of 49
- Microbiology 181
- Agronomy and Crop Science 163
- Immunology 326
- Genetics 178
- Ecology, Evolution, Behavior and Systematics 71
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 | 117 | |
| 2 | 1997 | 105 | |
| 3 | 1992 | 62 | |
| 4 | 1991 | 56 | |
| 5 | 1994 | 51 | |
| 6 | 1988 | 38 | |
| 7 | 1990 | 37 | |
| 8 | 1997 | 37 | |
| 9 | 1989 | 35 | |
| 10 | 1993 | 15 | |
| 11 | 1991 | 10 | |
| 12 | 1992 | 3 | |
| 13 | 1992 | 3 | |
| 14 | 1993 | 2 |
About N. E. MUGGLI‐COCKETT
N. E. MUGGLI‐COCKETT is a scholar working on Immunology, Molecular Biology, Microbiology, Agronomy and Crop Science and Genetics, having authored 14 papers that have together received 571 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), T-cell and B-cell Immunology (4 papers), Animal Disease Management and Epidemiology (3 papers), T-cell and Retrovirus Studies (3 papers), Genetic and phenotypic traits in livestock (2 papers), RNA and protein synthesis mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Microbiology (181 citations), Agronomy and Crop Science (163 citations), Immunology (326 citations), Genetics (178 citations) and Ecology, Evolution, Behavior and Systematics (71 citations). N. E. MUGGLI‐COCKETT has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include R. T. Stone, L. V. Cundiff, K. E. Gregory, Philip W. Hedrick, Walter M. Boyce, Steven T. Kalinowski, M. C. T. Penedo, Rob R. Ramey, Morris Burke and Sofia Mikko. Their work appears in journals such as Animal Genetics, Journal of Animal Science, International Journal of Immunogenetics, Journal of Dairy Science and Genetics.
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.