Ian M. Kerr
- Immunology top 0.05%
- Molecular Biology top 0.5%
- Oncology top 0.1%
- Epidemiology top 1%
- Cancer Research top 1%
- Co-authors
- George R. StarkBryan WilliamsRobert H. SilvermanRobert D. SchreiberJames N. IhleAra G. HovanessianR.E. BrownRonald E. Brown
- Topics
- Cytokine Signaling Pathways and Interactions (56 papers)interferon and immune responses (44 papers)RNA and protein synthesis mechanisms (31 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
Ian M. Kerr
139 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 9.4k
- Molecular Biology 8.6k
- Oncology 7.4k
- Epidemiology 2.2k
- Cancer Research 1.7k
Countries citing papers authored by Ian M. Kerr
This map shows the geographic impact of Ian M. Kerr'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 Ian M. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian M. Kerr more than expected).
Fields of papers citing papers by Ian M. Kerr
This network shows the impact of papers produced by Ian M. Kerr. 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 Ian M. Kerr. The network helps show where Ian M. Kerr may publish in the future.
Co-authorship network of co-authors of Ian M. Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Kerr. A scholar is included among the top collaborators of Ian M. Kerr 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 Ian M. Kerr. Ian M. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 94 | |
| 3 | 18 | |
| 4 | 39 | |
| 5 | 46 | |
| 6 | 180 | |
| 7 | 149 | |
| 8 | 54 | |
| 9 | 56 | |
| 10 | 71 | |
| 11 | 128 | |
| 12 | 38 | |
| 13 | 105 | |
| 14 | Molecular cloning and characterization of the human double-stranded RNA-activated protein kinase induced by interferonbreakdown → | 856 |
| 15 | 72 | |
| 16 | 20 | |
| 17 | 38 | |
| 18 | A history of the eurobond market : the first 21years | 5 |
| 19 | 73 | |
| 20 | Radioimmune and radiobinding assays for A2'p5'A2'p5'A, pppA2'p5'A, and related oligonucleotides. | 49 |
About Ian M. Kerr
Ian M. Kerr is a scholar working on Immunology, Oncology and Molecular Biology, having authored 139 papers that have together received 18.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (56 papers), interferon and immune responses (44 papers) and RNA and protein synthesis mechanisms (31 papers). The work is most often cited by research in Immunology (9.4k citations), Oncology (7.4k citations) and Molecular Biology (8.6k citations). Ian M. Kerr has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include George R. Stark, Bryan Williams, Robert H. Silverman, Robert D. Schreiber, James N. Ihle, Ara G. Hovanessian, R.E. Brown, Ronald E. Brown, Daniel H. Wreschner and Martin McMahon. Their work appears in journals such as Nature, Cell 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.