Ray Jupp
- Molecular Biology top 5%
- Immunology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Oncology top 10%
- Co-authors
- Naama Geva‐ZatorskyDiane MathisDennis L. KasperChristophe BenoıstEsen SefikAdriana Ortiz-LopezSungwhan F. OhTze Guan Tan
- Topics
- Cytomegalovirus and herpesvirus research (6 papers)Immune Cell Function and Interaction (4 papers)Gut microbiota and health (4 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ray Jupp
22 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.7k
- Immunology 825
- Epidemiology 570
- Infectious Diseases 545
- Oncology 391
Countries citing papers authored by Ray Jupp
This map shows the geographic impact of Ray Jupp'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 Ray Jupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Jupp more than expected).
Fields of papers citing papers by Ray Jupp
This network shows the impact of papers produced by Ray Jupp. 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 Ray Jupp. The network helps show where Ray Jupp may publish in the future.
Co-authorship network of co-authors of Ray Jupp
This figure shows the co-authorship network connecting the top 25 collaborators of Ray Jupp. A scholar is included among the top collaborators of Ray Jupp 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 Ray Jupp. Ray Jupp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 47 | |
| 3 | Microbial bile acid metabolites modulate gut RORγ+ regulatory T cell homeostasisbreakdown → | 726 |
| 4 | Mining the Human Gut Microbiota for Immunomodulatory Organismsbreakdown → | 519 |
| 5 | Identifying species of symbiont bacteria from the human gut that, alone, can induce intestinal Th17 cells in micebreakdown → | 324 |
| 6 | Individual intestinal symbionts induce a distinct population of RORγ + regulatory T cellsbreakdown → | 647 |
| 7 | 26 | |
| 8 | 8 | |
| 9 | 109 | |
| 10 | 71 | |
| 11 | 9 | |
| 12 | 27 | |
| 13 | 28 | |
| 14 | 18 | |
| 15 | 77 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 45 | |
| 19 | 74 | |
| 20 | 17 |
About Ray Jupp
Ray Jupp is a scholar working on Immunology, Parasitology and Epidemiology, having authored 22 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (6 papers), Immune Cell Function and Interaction (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Immunology (825 citations) and Gastroenterology (182 citations). Ray Jupp has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Naama Geva‐Zatorsky, Diane Mathis, Dennis L. Kasper, Christophe Benoıst, Esen Sefik, Adriana Ortiz-Lopez, Sungwhan F. Oh, Tze Guan Tan, Lesley Pasman and Lindsay Kua. Their work appears in journals such as Nature, Science and Cell.
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.