Jane E. Jackman
- Molecular Medicine top 5%
- Molecular Biology top 5%
- RNA modifications and cancer 41
- RNA and protein synthesis mechanisms 36
- RNA Research and Splicing 16
- Cancer-related gene regulation 13
- Genomics and Phylogenetic Studies 13
- Biochemical and Molecular Research 4
- Endocrinology top 5%
- Microbiology top 5%
- Genetics top 10%
- Bacterial Genetics and Biotechnology 4
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- Peptidase Inhibition and Analysis 4
- Co-authors
- Eric M. PhizickyChristian R.H. RaetzJuan AlfonzoCarol A. FierkeMichael W. GrayBhalchandra S. RaoR.K. MontangeHarmit S. Malik
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Jane E. Jackman
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 160
- Molecular Biology 1.8k
- Endocrinology 83
- Microbiology 70
- Genetics 311
Countries citing papers authored by Jane E. Jackman
This map shows the geographic impact of Jane E. Jackman'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 Jane E. Jackman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane E. Jackman more than expected).
Fields of papers citing papers by Jane E. Jackman
This network shows the impact of papers produced by Jane E. Jackman. 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 Jane E. Jackman. The network helps show where Jane E. Jackman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane E. Jackman, 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 | 0 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 38 | |
| 5 | 2019 | 2 | |
| 6 | 2017 | 21 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2013 | 41 | |
| 11 | 2012 | 50 | |
| 12 | 2012 | 242 | |
| 13 | 2010 | 45 | |
| 14 | 2007 | 40 | |
| 15 | 2006 | 51 | |
| 16 | 2004 | 34 | |
| 17 | 2003 | 93 | |
| 18 | 2003 | 169 | |
| 19 | 2000 | 161 | |
| 20 | 1998 | 88 |
About Jane E. Jackman
Jane E. Jackman is a scholar working on Molecular Biology, Physiology, Genetics, Microbiology and Oncology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (41 papers), RNA and protein synthesis mechanisms (36 papers), RNA Research and Splicing (16 papers), Cancer-related gene regulation (13 papers), Genomics and Phylogenetic Studies (13 papers), Bacterial Genetics and Biotechnology (4 papers), Peptidase Inhibition and Analysis (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Molecular Medicine (160 citations), Molecular Biology (1.8k citations), Endocrinology (83 citations), Microbiology (70 citations) and Genetics (311 citations). Jane E. Jackman has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Eric M. Phizicky, Christian R.H. Raetz, Juan Alfonzo, Carol A. Fierke, Michael W. Gray, Bhalchandra S. Rao, R.K. Montange, Harmit S. Malik, Michael C. Pirrung and L. Nathan Tumey. Their work appears in journals such as RNA, Biochemistry, Journal of Biological Chemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.