Howard R. Katz
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 11
- Allergic Rhinitis and Sensitization 7
- Immunology top 0.5%
- Mast cells and histamine 38
- Immune Cell Function and Interaction 16
- IL-33, ST2, and ILC Pathways 8
- Physiology top 1%
- Asthma and respiratory diseases 25
- Otorhinolaryngology top 2%
- Rheumatology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 19
-
- Glycosylation and Glycoproteins Research 9
- Co-authors
- K. Frank AustenM. Isabel ChiuVivian BerlinJoshua A. BoyceTanya M. LaidlawRichard L StevensDaniel S. FriendJennifer M. Lu-Kuo
- Journals
- The Journal of Immunology (25 papers)Journal of Allergy and Clinical Immunology (9 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Howard R. Katz
74 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology and Allergy 893
- Immunology 2.6k
- Physiology 1.4k
- Otorhinolaryngology 194
- Rheumatology 330
Countries citing papers authored by Howard R. Katz
This map shows the geographic impact of Howard R. Katz'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 Howard R. Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard R. Katz more than expected).
Fields of papers citing papers by Howard R. Katz
This network shows the impact of papers produced by Howard R. Katz. 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 Howard R. Katz. The network helps show where Howard R. Katz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Howard R. Katz, 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 | 2020 | 70 | |
| 2 | 2019 | 23 | |
| 3 | Allergic inflammatory memory in human respiratory epithelial progenitor cellsbreakdown → | 2018 | 359 |
| 4 | 2017 | 157 | |
| 5 | 2016 | 4 | |
| 6 | 2015 | 109 | |
| 7 | 2009 | 12 | |
| 8 | 2009 | 65 | |
| 9 | 2007 | 21 | |
| 10 | 2007 | 135 | |
| 11 | 2007 | 39 | |
| 12 | 2006 | 36 | |
| 13 | 2005 | 19 | |
| 14 | 2003 | 36 | |
| 15 | 2003 | 32 | |
| 16 | 2002 | 16 | |
| 17 | 2000 | 71 | |
| 18 | 1999 | 64 | |
| 19 | 1995 | 17 | |
| 20 | 1987 | 83 |
About Howard R. Katz
Howard R. Katz is a scholar working on Immunology and Allergy, Immunology and Physiology, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mast cells and histamine (38 papers), Asthma and respiratory diseases (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Immune Cell Function and Interaction (16 papers), Cell Adhesion Molecules Research (11 papers), Glycosylation and Glycoproteins Research (9 papers), IL-33, ST2, and ILC Pathways (8 papers) and Allergic Rhinitis and Sensitization (7 papers). The work is most often cited by research in Immunology and Allergy (893 citations), Immunology (2.6k citations) and Physiology (1.4k citations). Howard R. Katz has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include K. Frank Austen, M. Isabel Chiu, Vivian Berlin, Joshua A. Boyce, Tanya M. Laidlaw, Richard L Stevens, Daniel S. Friend, K. Frank Austen, Jennifer M. Lu-Kuo and Mariana Castells. Their work appears in journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology, Journal of Biological Chemistry, The Journal of Experimental Medicine and Proceedings of the National Academy of Sciences.
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.