M. J. Snyder
- Infectious Diseases top 1%
- Endocrinology top 0.2%
- Food Science top 0.5%
- Immunology top 10%
- Molecular Biology
- Co-authors
- Herbert L. DuPontR. B. HornickJ. P. LibonatiTheodore E. WoodwardSamuel B. FormalA. T. DawkinsSheldon E. GreismanE. H. LaBrec
- Topics
- Viral gastroenteritis research and epidemiology (12 papers)Escherichia coli research studies (8 papers)Salmonella and Campylobacter epidemiology (7 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
M. J. Snyder
37 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 1.4k
- Endocrinology 1.3k
- Food Science 1.1k
- Immunology 272
- Molecular Biology 256
Countries citing papers authored by M. J. Snyder
This map shows the geographic impact of M. J. Snyder'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. Snyder 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. Snyder more than expected).
Fields of papers citing papers by M. J. Snyder
This network shows the impact of papers produced by M. J. Snyder. 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. Snyder. The network helps show where M. J. Snyder may publish in the future.
Co-authorship network of co-authors of M. J. Snyder
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Snyder. A scholar is included among the top collaborators of M. J. Snyder 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. Snyder. M. J. Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 56 | |
| 3 | 38 | |
| 4 | 103 | |
| 5 | 3 | |
| 6 | 59 | |
| 7 | 37 | |
| 8 | 2 | |
| 9 | 161 | |
| 10 | 25 | |
| 11 | 68 | |
| 12 | Investigations into the pathogenesis of diarrheal diseases. | 2 |
| 13 | Pathogenesis ofEscherichia coliDiarrheabreakdown → | 507 |
| 14 | 52 | |
| 15 | Studies of immunity in typhoid fever. Protection induced by killed oral antigens or by primary infection. | 44 |
| 16 | 148 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 31 | |
| 20 | The use of terramycin in Rocky Mountain spotted fever. | 2 |
About M. J. Snyder
M. J. Snyder is a scholar working on Endocrinology, Infectious Diseases and Parasitology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Escherichia coli research studies (8 papers) and Salmonella and Campylobacter epidemiology (7 papers). The work is most often cited by research in Endocrinology (1.3k citations), Infectious Diseases (1.4k citations) and Food Science (1.1k citations). M. J. Snyder has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Herbert L. DuPont, R. B. Hornick, J. P. Libonati, Theodore E. Woodward, Samuel B. Formal, A. T. Dawkins, Sheldon E. Greisman, E. H. LaBrec, Richard B. Hornick and E. J. Gangarosa. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology and American Journal of Epidemiology.
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.