Oliver H. Tam
- Molecular Biology top 5%
- Cancer Research top 2%
- Plant Science top 5%
- Genetics top 10%
- Immunology
- Co-authors
- Gregory J. HannonSihem CheloufiElizabeth P. MurchisonMolly HammellJanet F. PartridgeYing JinPaula SteinAngélique Girard
- Topics
- CRISPR and Genetic Engineering (7 papers)Chromosomal and Genetic Variations (7 papers)Pluripotent Stem Cells Research (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Oliver H. Tam
20 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.4k
- Cancer Research 895
- Plant Science 740
- Genetics 270
- Immunology 129
Countries citing papers authored by Oliver H. Tam
This map shows the geographic impact of Oliver H. Tam'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 Oliver H. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver H. Tam more than expected).
Fields of papers citing papers by Oliver H. Tam
This network shows the impact of papers produced by Oliver H. Tam. 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 Oliver H. Tam. The network helps show where Oliver H. Tam may publish in the future.
Co-authorship network of co-authors of Oliver H. Tam
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver H. Tam. A scholar is included among the top collaborators of Oliver H. Tam 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 Oliver H. Tam. Oliver H. Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 86 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 40 | |
| 10 | 202 | |
| 11 | 44 | |
| 12 | TEtranscripts: a package for including transposable elements in differential expression analysis of RNA-seq datasetsbreakdown → | 381 |
| 13 | 18 | |
| 14 | 106 | |
| 15 | 41 | |
| 16 | 221 | |
| 17 | 78 | |
| 18 | Pseudogene-derived small interfering RNAs regulate gene expression in mouse oocytesbreakdown → | 822 |
| 19 | 46 | |
| 20 | Characterization of Dicer-deficient murine embryonic stem cellsbreakdown → | 623 |
About Oliver H. Tam
Oliver H. Tam is a scholar working on Molecular Biology, Sensory Systems and Neurology, having authored 20 papers that have together received 2.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Chromosomal and Genetic Variations (7 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Cancer Research (895 citations), Molecular Biology (2.4k citations) and Plant Science (740 citations). Oliver H. Tam has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gregory J. Hannon, Sihem Cheloufi, Elizabeth P. Murchison, Molly Hammell, Janet F. Partridge, Ying Jin, Paula Stein, Angélique Girard, Emily Hodges and Martin Anger. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.