John R. Schreiber

2.6k citations
57 papers · 2.0k indexed · h-index 26

John R. Schreiber

57 papers receiving 2.0k citations

Peers

John R. Schreiber
Comparison fields: 5 of 100
  • Microbiology 403
  • Endocrinology 159
  • Immunology 619
  • Applied Microbiology and Biotechnology 58
  • Epidemiology 876
Replace Tsuyoshi Nagatake with:
Tsuyoshi Nagatake Japan
Hiroshi Watanabe Japan
Bret R. Sellman United States
Daniela M. Ferreira United Kingdom
Dominic F. Kelly United Kingdom
Birgitta Henriques Normark Sweden
Christian Theilacker Germany
Maria Antonia De Francesco Italy
Claudette M. Thompson United States
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Citations per field
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Citations per year

Countries citing papers authored by John R. Schreiber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside John R. Schreiber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John R. Schreiber Line = papers co-authored together John R. Schreiber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202131
2 201211
3 201222
4 20125
5 20118
6 200721
7 200614
8 200528
9 200498
10 200357
11 200340
12 200248
13 199810
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.
19987
15 199567
16 199345
17 1992332
18 199121
19 199027
20 198810

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), Bacterial Infections and Vaccines (11 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Influenza Virus Research Studies (8 papers), Immunotherapy and Immune Responses (6 papers), Respiratory viral infections research (6 papers) and Immune Response and Inflammation (6 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.

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