John R. Schreiber
- Epidemiology top 5%
- Immunology top 5%
- Molecular Biology
- Microbiology top 1%
- Infectious Diseases top 5%
- Co-authors
- Neil S. GreenspanMichael R. JacobsGerald B. PierGeorge R. SiberClifford V. HardingTera L. McCoolA. Carrillo ÁlvarezRobert F. Breiman
- Topics
- Pneumonia and Respiratory Infections (19 papers)Monoclonal and Polyclonal Antibodies Research (14 papers)Bacterial Infections and Vaccines (11 papers)
- Cited by
- MicrobiologyEndocrinologyImmunology
- Partner nations
- United StatesCanadaAustria
In The Last Decade
John R. Schreiber
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Epidemiology 876
- Immunology 619
- Molecular Biology 431
- Microbiology 403
- Infectious Diseases 380
Countries citing papers authored by John R. Schreiber
This map shows the geographic impact of John R. Schreiber'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 John R. Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Schreiber more than expected).
Fields of papers citing papers by John R. Schreiber
This network shows the impact of papers produced by John R. Schreiber. 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 John R. Schreiber. The network helps show where John R. Schreiber may publish in the future.
Co-authorship network of co-authors of John R. Schreiber
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Schreiber. A scholar is included among the top collaborators of John R. Schreiber 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 John R. Schreiber. John R. Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 11 | |
| 3 | 22 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | 98 | |
| 10 | 57 | |
| 11 | 40 | |
| 12 | 48 | |
| 13 | 10 | |
| 14 | Gamma 3 gene-disrupted mice selectively deficient in the dominant IgG subclass made to bacterial polysaccharides undergo normal isotype switching after immunization with polysaccharide-protein conjugate vaccines. | 7 |
| 15 | 67 | |
| 16 | 45 | |
| 17 | 332 | |
| 18 | 21 | |
| 19 | 27 | |
| 20 | 10 |
About John R. Schreiber
John R. Schreiber is a scholar working on Microbiology, Immunology and Epidemiology, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (19 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Bacterial Infections and Vaccines (11 papers). The work is most often cited by research in Microbiology (403 citations), Endocrinology (159 citations) and Immunology (619 citations). John R. Schreiber has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Neil S. Greenspan, Michael R. Jacobs, Gerald B. Pier, George R. Siber, Clifford V. Harding, Tera L. McCool, A. Carrillo Álvarez, Robert F. Breiman, Richard R. Facklam and James E. Arnold. Their work appears in journals such as Blood, The Journal of Immunology and Gastroenterology.
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.