John D. Burke
Impact in
-
- Fungal and yeast genetics research
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
-
- Microtubule and mitosis dynamics
Papers in
-
- Fungal and yeast genetics research 3
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
- Wnt/β-catenin signaling in development and cancer 1
- Genetics 2
- Co-authors
- Kathleen L. Gould (3 shared papers)Katherine J. Turner (1 shared paper)Dannel McCollum (1 shared paper)John E. Janik (1 shared paper)Brian J. Morrison (1 shared paper)Guido Forni (1 shared paper)Jay A. Berzofsky (1 shared paper)Anna Feoktistova (1 shared paper)
- Journals
- Molecular Therapy (1 paper)The EMBO Journal (1 paper)Molecular Genetics and Metabolism (1 paper)Human Genetics (1 paper)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
John D. Burke
8 papers receiving 320 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 255
- Cell Biology 53
- Immunology 68
- Aging 4
- Oncology 56
Countries citing papers authored by John D. Burke
This map shows the geographic impact of John D. Burke'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 D. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Burke more than expected).
Fields of papers citing papers by John D. Burke
This network shows the impact of papers produced by John D. Burke. 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 D. Burke. The network helps show where John D. Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Burke, 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 | 1994 | 89 | |
| 2 | 1994 | 86 | |
| 3 | 2004 | 77 | |
| 4 | 1996 | 47 | |
| 5 | 2006 | 11 | |
| 6 | 2018 | 11 | |
| 7 | 2006 | 2 | |
| 8 | 2022 | 2 |
About John D. Burke
John D. Burke is a scholar working on Molecular Biology, Genetics, Pharmacology, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Enzyme-mediated dye degradation (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Diabetes Management and Education (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Molecular Biology (255 citations), Cell Biology (53 citations), Immunology (68 citations), Aging (4 citations) and Oncology (56 citations). John D. Burke has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Kathleen L. Gould, Katherine J. Turner, Dannel McCollum, John E. Janik, Brian J. Morrison, Guido Forni, Jay A. Berzofsky, Anna Feoktistova, Yoshio Sakai and Simon Plyte. Their work appears in journals such as Molecular Therapy, The EMBO Journal, Molecular Genetics and Metabolism, Human Genetics and Diabetes Research and Clinical Practice.
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.