Margaret Pittman
- Microbiology top 0.5%
- Epidemiology top 10%
- Endocrinology top 1%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- John C. FeeleyM. C. HardegreeRobert MacLennanA. C. WardlawB L FurmanMichael F. BarileClifford J. MaloneyAdrian B. Kelly
- Topics
- Bacterial Infections and Vaccines (23 papers)Influenza Virus Research Studies (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Margaret Pittman
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Microbiology 755
- Epidemiology 456
- Endocrinology 315
- Molecular Biology 287
- Radiology, Nuclear Medicine and Imaging 260
Countries citing papers authored by Margaret Pittman
This map shows the geographic impact of Margaret Pittman'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 Margaret Pittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Pittman more than expected).
Fields of papers citing papers by Margaret Pittman
This network shows the impact of papers produced by Margaret Pittman. 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 Margaret Pittman. The network helps show where Margaret Pittman may publish in the future.
Co-authorship network of co-authors of Margaret Pittman
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Pittman. A scholar is included among the top collaborators of Margaret Pittman 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 Margaret Pittman. Margaret Pittman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | Immunization against neonatal tetanus in New Guinea. 3. The toxin-neutralization test and the response of guinea-pigs to the toxoids as used in the immunization schedules in New Guinea. | 32 |
| 9 | 24 | |
| 10 | 11 | |
| 11 | Immunization against neonatal tetanus in New Guinea. Antitoxin response of pregnant women to adjuvant and plain toxoids. | 63 |
| 12 | 12 | |
| 13 | 7 | |
| 14 | Studies on the haemolytic activity of El Tor vibrios. | 38 |
| 15 | 23 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | A study of bacteria implicated in transfusion reactions and of bacteria isolated from blood products. | 74 |
| 19 | 24 | |
| 20 | 26 |
About Margaret Pittman
Margaret Pittman is a scholar working on Microbiology, Endocrinology and Infectious Diseases, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (23 papers), Influenza Virus Research Studies (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Microbiology (755 citations), Endocrinology (315 citations) and Epidemiology (456 citations). Margaret Pittman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John C. Feeley, M. C. Hardegree, Robert MacLennan, A. C. Wardlaw, B L Furman, Michael F. Barile, Clifford J. Maloney, Adrian B. Kelly, K. H. Wong and C. V. Broome. Their work appears in journals such as The Lancet, JAMA 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.