John E. Pimanda
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
Papers in
-
- Epigenetics and DNA Methylation 15
- Genomics and Chromatin Dynamics 8
- Hematology 33
- Acute Myeloid Leukemia Research 20
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- Berthold Göttgens (19 shared papers)Kathy Knezevic (23 shared papers)Sarah Kinston (11 shared papers)Jason W.H. Wong (21 shared papers)Dominik Beck (24 shared papers)Nicola K. Wilson (7 shared papers)Anchit Khanna (6 shared papers)Marella de Bruijn (5 shared papers)
- Journals
- Blood (18 papers)Leukemia (6 papers)Cancer Research (4 papers)Molecular Cancer Research (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
John E. Pimanda
79 papers receiving 3.5k citations
John E. Pimanda's Hit Papers
Peers
Comparison fields: 5 of 112
- Hematology 1.1k
- Cell Biology 616
- Molecular Biology 2.4k
- Immunology 680
- Genetics 339
Countries citing papers authored by John E. Pimanda
This map shows the geographic impact of John E. Pimanda'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 E. Pimanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Pimanda more than expected).
Fields of papers citing papers by John E. Pimanda
This network shows the impact of papers produced by John E. Pimanda. 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 E. Pimanda. The network helps show where John E. Pimanda may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Pimanda, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combinatorial Transcriptional Control In Blood Stem/Progenitor Cells: Genome-wide Analysis of Ten Major Transcriptional Regulators Hit paper breakdown → | 2010 | 523 |
| 2 | 2011 | 298 | |
| 3 | 2007 | 180 | |
| 4 | 2016 | 144 | |
| 5 | 2013 | 126 | |
| 6 | 2013 | 103 | |
| 7 | 2007 | 100 | |
| 8 | 2014 | 95 | |
| 9 | 2010 | 94 | |
| 10 | 2014 | 93 | |
| 11 | 2005 | 88 | |
| 12 | 2011 | 80 | |
| 13 | 2011 | 72 | |
| 14 | 2008 | 65 | |
| 15 | 2003 | 64 | |
| 16 | 2006 | 63 | |
| 17 | 2006 | 58 | |
| 18 | 2006 | 56 | |
| 19 | 2016 | 55 | |
| 20 | 2016 | 53 |
About John E. Pimanda
John E. Pimanda is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Cancer Research, having authored 81 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Zebrafish Biomedical Research Applications (16 papers), Epigenetics and DNA Methylation (15 papers), Acute Lymphoblastic Leukemia research (9 papers), Genomics and Chromatin Dynamics (8 papers), Cancer Genomics and Diagnostics (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Hematology (1.1k citations), Cell Biology (616 citations), Molecular Biology (2.4k citations), Immunology (680 citations) and Genetics (339 citations). John E. Pimanda has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Berthold Göttgens, Kathy Knezevic, Sarah Kinston, Jason W.H. Wong, Dominik Beck, Nicola K. Wilson, Anchit Khanna, Marella de Bruijn, Julie A.I. Thoms and Judith Schütte. Their work appears in journals such as Blood, Leukemia, Cancer Research, Molecular Cancer Research and Nucleic Acids Research.
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.