John Markham

2.4k total citations
38 papers, 1.3k citations indexed

About

John Markham is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, John Markham has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 11 papers in Molecular Biology and 8 papers in Microbiology. Recurrent topics in John Markham's work include Single-cell and spatial transcriptomics (9 papers), Microbial infections and disease research (8 papers) and T-cell and B-cell Immunology (8 papers). John Markham is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Microbial infections and disease research (8 papers) and T-cell and B-cell Immunology (8 papers). John Markham collaborates with scholars based in Australia, Ireland and United Kingdom. John Markham's co-authors include Philip D. Hodgkin, Edwin D. Hawkins, Kevin G. Whithear, Amir H. Noormohammadi, Cameron Wellard, Glenn F. Browning, Philip F. Markham, Chris J. Morrow, Jie Zhou and Francis L. Battye and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

John Markham

38 papers receiving 1.2k citations

Peers

Countries citing papers authored by John Markham

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Markham

This figure shows the co-authorship network connecting the top 25 collaborators of John Markham. A scholar is included among the top collaborators of John Markham 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 John Markham. John Markham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Predicting response to immune checkpoint blockade in NSCLC with tumour-only RNA-seq 2022 ·British Journal of Cancer ·John Markham, Andrew Fellowes, Thomas Green, José Luis Leal, Roxane Legaie, (unknown), (unknown), Thomas John, (unknown), Stephen B. Fox	3
2	Single-cell sequencing demonstrates complex resistance landscape in CLL and MCL treated with BTK and BCL2 inhibitors 2021 ·Blood Advances ·Ella R. Thompson, Tamia Nguyen, (unknown), John Markham, Mary Ann Anderson, Sasanka M. Handunnetti, Rachel Thijssen, Paul Yeh, Constantine S. Tam, John F. Seymour, Andrew W. Roberts, David Westerman, Piers Blombery	17
3	CNspector: a web-based tool for visualisation and clinical diagnosis of copy number variation from next generation sequencing 2019 ·Scientific Reports ·John Markham, (unknown), Georgina L. Ryland, Huei San Leong, Andrew Fellowes, Ella R. Thompson, (unknown), Amit Kumar, Richard Lupat, Jason Li, Jason Ellul, Stephen B. Fox, Michael Dickinson, Anthony T. Papenfuss, Piers Blombery	19
4	Comparative genomic analyses ofMycoplasma synoviaevaccine strain MS-H and its wild-type parent strain 86079/7NS: implications for the identification of virulence factors and applications in diagnosis ofM. synoviae 2019 ·Avian Pathology ·(unknown), Muhammad Akbar Shahid, John Markham, Glenn F. Browning, Amir H. Noormohammadi, Marc S. Marenda	17
5	Stochastically Timed Competition Between Division and Differentiation Fates Regulates the Transition From B Lymphoblast to Plasma Cell 2018 ·Frontiers in Immunology ·Jie Zhou, John Markham, Ken R. Duffy, Philip D. Hodgkin	17
6	Genome analysis of Mycoplasma synoviae strain MS-H, the most common M. synoviae strain with a worldwide distribution 2018 ·BMC Genomics ·(unknown), Muhammad Akbar Shahid, John Markham, Glenn F. Browning, Amir H. Noormohammadi, Marc S. Marenda	18
7	Stochastic Measurement Models for Quantifying Lymphocyte Responses Using Flow Cytometry 2016 ·PLoS ONE ·Andrey Kan, (unknown), John Markham, Mark R. Dowling, Susanne Heinzel, Jie Zhou, Julia M. Marchingo, Philip D. Hodgkin	3
8	Predicting expression: the complementary power of histone modification and transcription factor binding data 2014 ·Epigenetics & Chromatin ·David Budden, Daniel Hurley, Joseph Cursons, John Markham, Melissa J. Davis, Edmund J. Crampin	25
9	Labour-Efficient In Vitro Lymphocyte Population Tracking and Fate Prediction Using Automation and Manual Review 2014 ·PLoS ONE ·Rajib Chakravorty, David Rawlinson, (unknown), John Markham, Mark R. Dowling, Cameron Wellard, Jie Zhou, Philip D. Hodgkin	6
10	Phylogenetic and Molecular Epidemiological Studies Reveal Evidence of Multiple Past Recombination Events between Infectious Laryngotracheitis Viruses 2013 ·PLoS ONE ·Sang‐Won Lee, Joanne M. Devlin, John Markham, Amir H. Noormohammadi, Glenn F. Browning, Nino Ficorilli, Carol A. Hartley, Philip F. Markham	45
11	Mutations in GTP Binding Protein Obg of Mycoplasma synoviae Vaccine Strain MS-H: Implications in Temperature-Sensitivity Phenotype 2013 ·PLoS ONE ·Muhammad Akbar Shahid, Philip F. Markham, John Markham, Marc S. Marenda, Amir H. Noormohammadi	22
12	Measures for ranking cell trackers without manual validation 2013 ·Pattern Recognition ·Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty	6
13	Comparative analysis of the complete genome sequences of two Australian origin live attenuated vaccines of infectious laryngotracheitis virus 2011 ·Vaccine ·Sang‐Won Lee, Joanne M. Devlin, John Markham, Amir H. Noormohammadi, Glenn F. Browning, Nino Ficorilli, Carol A. Hartley, Philip F. Markham	30
14	Automated and semi-automated cell tracking: addressing portability challenges 2011 ·Journal of Microscopy ·Andrey Kan, Rajib Chakravorty, James Bailey, Christopher Leckie, John Markham, Mark R. Dowling	20
15	First complete genome sequence of infectious laryngotracheitis virus 2011 ·BMC Genomics ·Sang‐Won Lee, Philip F. Markham, John Markham, Ivonne Petermann, Amir H. Noormohammadi, Glenn F. Browning, Nino Ficorilli, Carol A. Hartley, Joanne M. Devlin	39
16	A minimum of two distinct heritable factors are required to explain correlation structures in proliferating lymphocytes 2010 ·Journal of The Royal Society Interface ·John Markham, Cameron Wellard, Edwin D. Hawkins, Ken R. Duffy, Philip D. Hodgkin	21
17	The effect of correlations on the population dynamics of lymphocytes 2010 ·Journal of Theoretical Biology ·Cameron Wellard, John Markham, Edwin D. Hawkins, Philip D. Hodgkin	16
18	A single-cell pedigree analysis of alternative stochastic lymphocyte fates 2009 ·Proceedings of the National Academy of Sciences ·Edwin D. Hawkins, John Markham, (unknown), Philip D. Hodgkin	115
19	Measuring lymphocyte proliferation, survival and differentiation using CFSE time-series data 2007 ·Nature Protocols ·Edwin D. Hawkins, Mirja Hommel, Marian L. Turner, Francis L. Battye, John Markham, Philip D. Hodgkin	187
20	Production of Temperature-Sensitive Clones of Mycoplasma synoviae for Evaluation as Live Vaccines 1998 ·Avian Diseases ·Chris J. Morrow, John Markham, Kevin G. Whithear	58

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.

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