E. Ribi
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Microbiology top 2%
Papers in
- Immunology 40
- Immune Response and Inflammation 21
- Immunotherapy and Immune Responses 9
- Immune responses and vaccinations 6
- Co-authors
- Koichi Takayama (5 shared papers)N Qureshi (5 shared papers)R. L. Anacker (23 shared papers)K. C. Milner (24 shared papers)Jon A. Rudbach (7 shared papers)W. T. Haskins (11 shared papers)W Brehmer (16 shared papers)John L. Cantrell (8 shared papers)
- Journals
- Cancer Immunology Immunotherapy (13 papers)Journal of Bacteriology (11 papers)Experimental Biology and Medicine (11 papers)Infection and Immunity (8 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
E. Ribi
88 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Immunology 1.4k
- Microbiology 216
- Infectious Diseases 464
- Endocrinology 131
- Biotechnology 180
Countries citing papers authored by E. Ribi
This map shows the geographic impact of E. Ribi'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 E. Ribi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Ribi more than expected).
Fields of papers citing papers by E. Ribi
This network shows the impact of papers produced by E. Ribi. 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 E. Ribi. The network helps show where E. Ribi may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Ribi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 297 | |
| 2 | 1966 | 160 | |
| 3 | 1985 | 150 | |
| 4 | 1984 | 110 | |
| 5 | 1984 | 105 | |
| 6 | 1984 | 99 | |
| 7 | Beneficial modification of the endotoxin molecule. | 1984 | 95 |
| 8 | 1969 | 87 | |
| 9 | 1966 | 87 | |
| 10 | 1970 | 81 | |
| 11 | 1971 | 70 | |
| 12 | 1985 | 61 | |
| 13 | 1986 | 60 | |
| 14 | 1987 | 59 | |
| 15 | 1975 | 55 | |
| 16 | 1979 | 51 | |
| 17 | 1964 | 50 | |
| 18 | 1964 | 44 | |
| 19 | 1986 | 43 | |
| 20 | 1966 | 41 |
About E. Ribi
E. Ribi is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Biotechnology, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (21 papers), Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (16 papers), Cancer Research and Treatments (11 papers), Immunotherapy and Immune Responses (9 papers), Analytical Chemistry and Chromatography (6 papers), Immune responses and vaccinations (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Immunology (1.4k citations), Microbiology (216 citations), Infectious Diseases (464 citations), Endocrinology (131 citations) and Biotechnology (180 citations). E. Ribi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Koichi Takayama, N Qureshi, R. L. Anacker, K. C. Milner, Jon A. Rudbach, W. T. Haskins, W Brehmer, John L. Cantrell, J. E. Peterson and William R. Barclay. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Bacteriology, Experimental Biology and Medicine, Infection and Immunity and The Journal of Immunology.
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.