M J Lawman
- Epidemiology top 5%
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Infectious Diseases top 5%
- Co-authors
- W. P. TaylorLorne A. BabiukJennifer BryantAdrian P. GeePaul GibbsH. Bielefeldt OhmannE. Paul J. GibbsBarry T. Rouse
- Topics
- Animal Disease Management and Epidemiology (24 papers)Vector-Borne Animal Diseases (16 papers)Herpesvirus Infections and Treatments (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Immunology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
M J Lawman
62 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Epidemiology 960
- Immunology 706
- Agronomy and Crop Science 567
- Ecology, Evolution, Behavior and Systematics 496
- Infectious Diseases 426
Countries citing papers authored by M J Lawman
This map shows the geographic impact of M J Lawman'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 M J Lawman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M J Lawman more than expected).
Fields of papers citing papers by M J Lawman
This network shows the impact of papers produced by M J Lawman. 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 M J Lawman. The network helps show where M J Lawman may publish in the future.
Co-authorship network of co-authors of M J Lawman
This figure shows the co-authorship network connecting the top 25 collaborators of M J Lawman. A scholar is included among the top collaborators of M J Lawman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M J Lawman. M J Lawman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 70 | |
| 3 | 5 | |
| 4 | Expression of tumor necrosis factor-alpha receptors on bovine macrophages, lymphocytes and polymorphonuclear leukocytes, internalization of receptor-bound ligand, and some functional effects. | 15 |
| 5 | 12 | |
| 6 | 41 | |
| 7 | 23 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 45 | |
| 13 | 13 | |
| 14 | 28 | |
| 15 | 61 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 20 | |
| 19 | 17 | |
| 20 | 1 |
About M J Lawman
M J Lawman is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (24 papers), Vector-Borne Animal Diseases (16 papers) and Herpesvirus Infections and Treatments (15 papers). The work is most often cited by research in Agronomy and Crop Science (567 citations), Immunology (706 citations) and Epidemiology (960 citations). M J Lawman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include W. P. Taylor, Lorne A. Babiuk, Jennifer Bryant, Adrian P. Gee, Paul Gibbs, H. Bielefeldt Ohmann, E. Paul J. Gibbs, Barry T. Rouse, Michael Young and Richard J. Courtney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Immunology.
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.