John Markham
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
- Immunology 15
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 4
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- Single-cell and spatial transcriptomics 9
- Co-authors
- Philip D. Hodgkin (10 shared papers)Edwin D. Hawkins (5 shared papers)Amir H. Noormohammadi (7 shared papers)Glenn F. Browning (6 shared papers)Cameron Wellard (5 shared papers)Philip F. Markham (5 shared papers)Jie Zhou (6 shared papers)Mirja Hommel (1 shared paper)
- Journals
- PLoS ONE (4 papers)Science (2 papers)Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)BMC Genomics (2 papers)
- Partner nations
- AustraliaIrelandUnited Kingdom
In The Last Decade
John Markham
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Immunology 430
- Biophysics 97
- Microbiology 95
- Endocrinology 74
- Hematology 84
Countries citing papers authored by John Markham
This map shows the geographic impact of John Markham'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 Markham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Markham more than expected).
Fields of papers citing papers by John Markham
This network shows the impact of papers produced by John Markham. 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 Markham. The network helps show where John Markham may publish in the future.
Co-authors
The 25 scholars most cited alongside John Markham, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 191 | |
| 2 | 2012 | 162 | |
| 3 | 2012 | 160 | |
| 4 | 2009 | 115 | |
| 5 | 2014 | 67 | |
| 6 | 2014 | 45 | |
| 7 | 2013 | 45 | |
| 8 | 2011 | 39 | |
| 9 | 2011 | 30 | |
| 10 | 2013 | 25 | |
| 11 | 2014 | 25 | |
| 12 | 2018 | 24 | |
| 13 | 2018 | 23 | |
| 14 | 2010 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2011 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 1999 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2018 | 17 |
About John Markham
John Markham is a scholar working on Immunology, Molecular Biology, Epidemiology, Microbiology and Biophysics, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Microbial infections and disease research (4 papers), Herpesvirus Infections and Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Image Processing Techniques and Applications (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Immunology (430 citations), Biophysics (97 citations), Microbiology (95 citations), Endocrinology (74 citations) and Hematology (84 citations). John Markham has collaborated with scholars based in Australia, Ireland and United Kingdom. Frequent co-authors include Philip D. Hodgkin, Edwin D. Hawkins, Amir H. Noormohammadi, Glenn F. Browning, Cameron Wellard, Philip F. Markham, Jie Zhou, Mirja Hommel, Marian L. Turner and Francis L. Battye. Their work appears in journals such as PLoS ONE, Science, Blood, Proceedings of the National Academy of Sciences and BMC Genomics.
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.