Stephen J. Galli
- Immunology top 0.01%
- Immunology and Allergy top 0.01%
- Physiology top 0.02%
- Molecular Biology top 0.2%
- Rheumatology top 0.05%
- Co-authors
- Mindy TsaiAnn M. DvořàkAdrian M. PiliponskySusumu NakaeJohn GordonHarold F. DvorakMichele A. GrimbaldestonJanet Kalesnikoff
- Topics
- Mast cells and histamine (229 papers)Asthma and respiratory diseases (110 papers)Food Allergy and Anaphylaxis Research (107 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Stephen J. Galli
344 papers receiving 43.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Immunology 27.5k
- Immunology and Allergy 13.6k
- Physiology 13.3k
- Molecular Biology 10.1k
- Rheumatology 4.9k
Countries citing papers authored by Stephen J. Galli
This map shows the geographic impact of Stephen J. Galli'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 Stephen J. Galli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Galli more than expected).
Fields of papers citing papers by Stephen J. Galli
This network shows the impact of papers produced by Stephen J. Galli. 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 Stephen J. Galli. The network helps show where Stephen J. Galli may publish in the future.
Co-authorship network of co-authors of Stephen J. Galli
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Galli. A scholar is included among the top collaborators of Stephen J. Galli 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 Stephen J. Galli. Stephen J. Galli 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 | 19 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 50 | |
| 6 | 33 | |
| 7 | 26 | |
| 8 | 25 | |
| 9 | 61 | |
| 10 | House dust mites activate nociceptor–mast cell clusters to drive type 2 skin inflammationbreakdown → | 235 |
| 11 | 85 | |
| 12 | 44 | |
| 13 | 12 | |
| 14 | 296 | |
| 15 | 62 | |
| 16 | 157 | |
| 17 | 97 | |
| 18 | 18 | |
| 19 | Serotonin (5ht) uptake and content of cloned mouse mast cells and mouse peritoneal mast cells. Abstr. | 1 |
| 20 | 187 |
About Stephen J. Galli
Stephen J. Galli is a scholar working on Immunology and Allergy, Immunology and Physiology, having authored 352 papers that have together received 44.2k indexed citations. Recurring topics across this work include Mast cells and histamine (229 papers), Asthma and respiratory diseases (110 papers) and Food Allergy and Anaphylaxis Research (107 papers). The work is most often cited by research in Immunology and Allergy (13.6k citations), Immunology (27.5k citations) and Physiology (13.3k citations). Stephen J. Galli has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Mindy Tsai, Ann M. Dvořàk, Adrian M. Piliponsky, Susumu Nakae, John Gordon, Harold F. Dvorak, Michele A. Grimbaldeston, Janet Kalesnikoff, Donald R. Senger and Carole Perruzzi. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.