John Bladon
Impact in
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Memory and Neural Mechanisms 9
- Neural dynamics and brain function 5
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- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
- Co-authors
- Peter C. Taylor (15 shared papers)Sam McKenzie (2 shared papers)Christopher S. Keene (2 shared papers)Howard Eichenbaum (2 shared papers)Cindy D. Liu (1 shared paper)Joseph O’Keefe (1 shared paper)Michael E. Hasselmo (2 shared papers)Marc W. Howard (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Blood (3 papers)eLife (2 papers)Nature Communications (1 paper)eNeuro (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Bladon
25 papers receiving 582 citations
Peers
Comparison fields: 5 of 68
- Dermatology 134
- Cognitive Neuroscience 197
- Hematology 103
- Immunology 163
- Cellular and Molecular Neuroscience 133
Countries citing papers authored by John Bladon
This map shows the geographic impact of John Bladon'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 John Bladon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Bladon more than expected).
Fields of papers citing papers by John Bladon
This network shows the impact of papers produced by John Bladon. 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 John Bladon. The network helps show where John Bladon may publish in the future.
Co-authors
The 25 scholars most cited alongside John Bladon, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 105 | |
| 2 | 2016 | 98 | |
| 3 | 2006 | 70 | |
| 4 | 2002 | 34 | |
| 5 | 2015 | 32 | |
| 6 | 2008 | 27 | |
| 7 | 2002 | 24 | |
| 8 | 2022 | 19 | |
| 9 | 2005 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2002 | 18 | |
| 13 | 2006 | 15 | |
| 14 | 2003 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2003 | 12 | |
| 18 | 2000 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2004 | 7 |
About John Bladon
John Bladon is a scholar working on Cognitive Neuroscience, Immunology, Cellular and Molecular Neuroscience, Dermatology and Hematology, having authored 26 papers that have together received 598 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Immunotherapy and Immune Responses (6 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cutaneous lymphoproliferative disorders research (5 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Dermatology (134 citations), Cognitive Neuroscience (197 citations), Hematology (103 citations), Immunology (163 citations) and Cellular and Molecular Neuroscience (133 citations). John Bladon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter C. Taylor, Sam McKenzie, Christopher S. Keene, Howard Eichenbaum, Cindy D. Liu, Joseph O’Keefe, Michael E. Hasselmo, Marc W. Howard, Robert W. Komorowski and Ryan Place. Their work appears in journals such as Journal of Neuroscience, Blood, eLife, Nature Communications and eNeuro.
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.