Matthew Pollack
- Microbiology top 1%
- Antimicrobial Peptides and Activities 7
- Bacterial Infections and Vaccines 7
- Microbial infections and disease research 6
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 11
- Endocrinology top 2%
- Escherichia coli research studies 8
- Immunology top 5%
- Immune Response and Inflammation 17
- Toxin Mechanisms and Immunotoxins 11
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Lawrence S. YoungNancy KolesL T CallahanNancy S. TaylorJ. K. S. ChiaMartin E. EvansG GueldeBarbara H. Iglewski
- Journals
- Infection and Immunity (17 papers)The Journal of Infectious Diseases (12 papers)Clinical Infectious Diseases (3 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Matthew Pollack
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Microbiology 448
- Molecular Medicine 350
- Endocrinology 271
- Immunology 881
- Critical Care and Intensive Care Medicine 77
Countries citing papers authored by Matthew Pollack
This map shows the geographic impact of Matthew Pollack'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 Matthew Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pollack more than expected).
Fields of papers citing papers by Matthew Pollack
This network shows the impact of papers produced by Matthew Pollack. 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 Matthew Pollack. The network helps show where Matthew Pollack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Pollack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 0 | |
| 2 | 2008 | 2 | |
| 3 | 1997 | 20 | |
| 4 | Prophylactic and therapeutic efficacy of immunoglobulin G antibodies to Pseudomonas aeruginosa lipopolysaccharide against murine experimental corneal infection. | 1997 | 16 |
| 5 | 1996 | 16 | |
| 6 | 1995 | 13 | |
| 7 | 1994 | 21 | |
| 8 | 1993 | 88 | |
| 9 | 1993 | 7 | |
| 10 | 1992 | 66 | |
| 11 | 1992 | 15 | |
| 12 | 1990 | 9 | |
| 13 | 1990 | 20 | |
| 14 | 1989 | 58 | |
| 15 | 1989 | 37 | |
| 16 | 1989 | 66 | |
| 17 | 1987 | 15 | |
| 18 | 1984 | 12 | |
| 19 | 1982 | 20 | |
| 20 | 1978 | 61 |
About Matthew Pollack
Matthew Pollack is a scholar working on Microbiology, Molecular Medicine and Endocrinology, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (17 papers), Antibiotic Resistance in Bacteria (11 papers), Toxin Mechanisms and Immunotoxins (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Escherichia coli research studies (8 papers), Antimicrobial Peptides and Activities (7 papers), Bacterial Infections and Vaccines (7 papers) and Microbial infections and disease research (6 papers). The work is most often cited by research in Microbiology (448 citations), Molecular Medicine (350 citations) and Endocrinology (271 citations). Matthew Pollack has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Lawrence S. Young, Nancy Koles, L T Callahan, Nancy S. Taylor, J. K. S. Chia, Martin E. Evans, G Guelde, Barbara H. Iglewski, O R Pavlovskis and Gerald B. Pier. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, Clinical Infectious Diseases, Journal of Clinical Investigation and Journal of Clinical Microbiology.
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.