Tim Rand
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in ⓘ
-
- Macrophage Migration Inhibitory Factor 1
- Galectins and Cancer Biology 1
- Co-authors
- Xiaodong Wang (3 shared papers)Fenghe Du (2 shared papers)Sean Petersen (1 shared paper)Dean P. Smith (1 shared paper)Savitha Kalidas (1 shared paper)Qinghua Liu (1 shared paper)Hyun-Eui Kim (1 shared paper)Nick V. Grishin (1 shared paper)
- Journals
- Current Protocols in Human Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tim Rand
9 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Cancer Research 539
- Molecular Biology 1.4k
- Aging 31
- Immunology 164
- Plant Science 264
Countries citing papers authored by Tim Rand
This map shows the geographic impact of Tim Rand'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 Tim Rand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Rand more than expected).
Fields of papers citing papers by Tim Rand
This network shows the impact of papers produced by Tim Rand. 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 Tim Rand. The network helps show where Tim Rand may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Rand, 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 | Argonaute2 Cleaves the Anti-Guide Strand of siRNA during RISC Activation Hit paper breakdown → | 2005 | 566 |
| 2 | R2D2, a Bridge Between the Initiation and Effector Steps of the Drosophila RNAi Pathway Hit paper breakdown → | 2003 | 538 |
| 3 | 2004 | 243 | |
| 4 | 2013 | 179 | |
| 5 | 2016 | 61 | |
| 6 | 2022 | 21 | |
| 7 | 2018 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2024 | 0 |
About Tim Rand
Tim Rand is a scholar working on Physiology, Immunology, Cancer Research, Molecular Biology and Oncology, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (6 papers), Pluripotent Stem Cells Research (5 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (539 citations), Molecular Biology (1.4k citations), Aging (31 citations), Immunology (164 citations) and Plant Science (264 citations). Tim Rand has collaborated with scholars based in United States and Japan. Frequent co-authors include Xiaodong Wang, Fenghe Du, Sean Petersen, Dean P. Smith, Savitha Kalidas, Qinghua Liu, Hyun-Eui Kim, Nick V. Grishin, Krzysztof Ginalski and Shinya Yamanaka. Their work appears in journals such as Current Protocols in Human Genetics, Proceedings of the National Academy of Sciences, Science, Nature Communications and Cell Reports.
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.