John F Markham
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Microbiology top 5%
- Microbial infections and disease research
Papers in
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- Cell Image Analysis Techniques 5
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- Microbial infections and disease research 4
- Co-authors
- Philip D. Hodgkin (10 shared papers)Edwin D. Hawkins (6 shared papers)Amir H. Noormohammadi (7 shared papers)Cameron J. Wellard (6 shared papers)Glenn Francis Browning (6 shared papers)Philip F. Markham (5 shared papers)Jie H. S. Zhou (6 shared papers)Francis L. Battye (1 shared paper)
- Journals
- PLoS ONE (4 papers)Blood (2 papers)British Journal of Haematology (2 papers)Science (2 papers)BMC Genomics (2 papers)
- Partner nations
- AustraliaIrelandUnited Kingdom
In The Last Decade
John F Markham
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 187
- Microbiology 81
- Immunology 240
- Biophysics 61
- Hematology 96
Countries citing papers authored by John F Markham
This map shows the geographic impact of John F 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 F 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 F Markham more than expected).
Fields of papers citing papers by John F Markham
This network shows the impact of papers produced by John F 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 F Markham. The network helps show where John F Markham may publish in the future.
Co-authors
The 25 scholars most cited alongside John F 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 206 | |
| 2 | 2012 | 178 | |
| 3 | 2012 | 166 | |
| 4 | 2009 | 129 | |
| 5 | 2016 | 125 | |
| 6 | 2014 | 76 | |
| 7 | 2014 | 57 | |
| 8 | 2013 | 44 | |
| 9 | 2011 | 41 | |
| 10 | 2011 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2010 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 2018 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2011 | 22 | |
| 19 | 1999 | 21 | |
| 20 | 2019 | 21 |
About John F Markham
John F Markham is a scholar working on Biophysics, Microbiology, Animal Science and Zoology, Immunology and Hematology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), T-cell and B-cell Immunology (4 papers), Animal Virus Infections Studies (4 papers), Microbial infections and disease research (4 papers), Chronic Lymphocytic Leukemia Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Animal Science and Zoology (187 citations), Microbiology (81 citations), Immunology (240 citations), Biophysics (61 citations) and Hematology (96 citations). John F 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, Cameron J. Wellard, Glenn Francis Browning, Philip F. Markham, Jie H. S. Zhou, Francis L. Battye, Marian L. Turner and Mirja Hommel. Their work appears in journals such as PLoS ONE, Blood, British Journal of Haematology, Science 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.