J. K. Christman
- Molecular Biology
- Genetics
- Oncology
- Rheumatology top 10%
- Hematology top 10%
- Co-authors
- George AcsFrancine CreusotMonika StenderElsie WainfanMark DizikS.C. BrooksNatalie SchneidermanMary Jo Pilat
- Topics
- Epigenetics and DNA Methylation (6 papers)RNA modifications and cancer (3 papers)Estrogen and related hormone effects (3 papers)
- Partner nations
- United States
In The Last Decade
J. K. Christman
11 papers receiving 808 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 645
- Genetics 169
- Oncology 120
- Rheumatology 111
- Hematology 102
Countries citing papers authored by J. K. Christman
This map shows the geographic impact of J. K. Christman'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 J. K. Christman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. K. Christman more than expected).
Fields of papers citing papers by J. K. Christman
This network shows the impact of papers produced by J. K. Christman. 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 J. K. Christman. The network helps show where J. K. Christman may publish in the future.
Co-authorship network of co-authors of J. K. Christman
This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Christman. A scholar is included among the top collaborators of J. K. Christman 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 J. K. Christman. J. K. Christman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Oligonucleotides containing 5,6-dihydro-5-azacytosine at cpg sites can produce potent inhibition of dna cytosine-c5-methyltransferase without covalently binding to the enzyme | 1 |
| 2 | 30 | |
| 3 | 42 | |
| 4 | 13 | |
| 5 | Heterogeneity in p53 mutations in mouse mammary tumor subpopulations with different metastatic potential from the orthotopic site. | 6 |
| 6 | 29 | |
| 7 | Rapid appearance of hypomethylated DNA in livers of rats fed cancer-promoting, methyl-deficient diets. | 152 |
| 8 | 56 | |
| 9 | 24 | |
| 10 | Inhibition of DNA methyltransferase and induction of Friend erythroleukemia cell differentiation by 5-azacytidine and 5-aza-2'-deoxycytidine.breakdown → | 500 |
| 11 | 13 |
About J. K. Christman
J. K. Christman is a scholar working on Molecular Biology, Biotechnology and Genetics, having authored 11 papers that have together received 866 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Molecular Biology (645 citations), Hematology (102 citations) and Rheumatology (111 citations). J. K. Christman has collaborated with scholars based in United States. Frequent co-authors include George Acs, Francine Creusot, Monika Stender, Elsie Wainfan, Mark Dizik, S.C. Brooks, Natalie Schneiderman, Mary Jo Pilat, Malathy P.V. Shekhar and Fred R. Miller. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemistry.
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.