John M. Cunningham
- Geriatrics and Gerontology top 1%
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 17
- Acute Myeloid Leukemia Research 9
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 15
- Molecular Biology top 2%
- Cancer-related gene regulation 19
- Epigenetics and DNA Methylation 16
- RNA modifications and cancer 13
- Genomics and Chromatin Dynamics 10
- Kruppel-like factors research 10
- Cell Biology top 2%
- Co-authors
- Stephen M. JaneTomasz WilanowskiArthur W. NienhuisStephen B. TingVishwas ParekhLoretta CerrutiAlana AudenPrabhakaran Vasudevan
- Journals
- Blood (17 papers)Molecular and Cellular Biology (9 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John M. Cunningham
129 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 129
- Geriatrics and Gerontology 376
- Hematology 780
- Genetics 640
- Molecular Biology 3.0k
- Cell Biology 492
Countries citing papers authored by John M. Cunningham
This map shows the geographic impact of John M. Cunningham'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 M. Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Cunningham more than expected).
Fields of papers citing papers by John M. Cunningham
This network shows the impact of papers produced by John M. Cunningham. 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 M. Cunningham. The network helps show where John M. Cunningham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John M. Cunningham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 0 | |
| 7 | 2015 | 8 | |
| 8 | 2012 | 8 | |
| 9 | 2011 | 24 | |
| 10 | 2010 | 102 | |
| 11 | 2008 | 98 | |
| 12 | 2008 | 40 | |
| 13 | 2005 | 231 | |
| 14 | 2005 | 34 | |
| 15 | 2003 | 26 | |
| 16 | 2002 | 30 | |
| 17 | Mutations in AXIN2 cause colorectal cancer with defective mismatch repair by activating beta-catenin/TCF signalling (vol 26, pg 146, 2000) | 2000 | 3 |
| 18 | 1996 | 14 | |
| 19 | 1995 | 13 | |
| 20 | 1994 | 19 |
About John M. Cunningham
John M. Cunningham is a scholar working on Hematology, Genetics and Transplantation, having authored 137 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cancer-related gene regulation (19 papers), Hematopoietic Stem Cell Transplantation (17 papers), Epigenetics and DNA Methylation (16 papers), Hemoglobinopathies and Related Disorders (15 papers), RNA modifications and cancer (13 papers), Genomics and Chromatin Dynamics (10 papers), Kruppel-like factors research (10 papers) and Acute Myeloid Leukemia Research (9 papers). The work is most often cited by research in Geriatrics and Gerontology (376 citations), Hematology (780 citations) and Genetics (640 citations). John M. Cunningham has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Stephen M. Jane, Tomasz Wilanowski, Arthur W. Nienhuis, Stephen B. Ting, Vishwas Parekh, Loretta Cerruti, Alana Auden, Prabhakaran Vasudevan, Jacinta Caddy and Quan Zhao. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Biological Chemistry, Bone Marrow Transplantation and Nature Medicine.
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.