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
-
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 6
- Pluripotent Stem Cells Research 5
- RNA Research and Splicing 2
-
- Macrophage Migration Inhibitory Factor 1
- Immunotherapy and Immune Responses 1
- Co-authors
- Xiaodong Wang (3 shared papers)Fenghe Du (2 shared papers)Sean Petersen (1 shared paper)Dean P. Smith (1 shared paper)Hyun-Eui Kim (1 shared paper)Qinghua Liu (1 shared paper)Savitha Kalidas (1 shared paper)Krzysztof Ginalski (1 shared paper)
- Journals
- Current Protocols in Human Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tim Rand
9 papers receiving 1.6k citations
Tim Rand's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 525
- Molecular Biology 1.4k
- Aging 32
- Immunology 157
- Plant Science 258
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 | 571 |
| 2 | R2D2, a Bridge Between the Initiation and Effector Steps of the Drosophila RNAi Pathway Hit paper breakdown → | 2003 | 541 |
| 3 | 2004 | 244 | |
| 4 | 2013 | 180 | |
| 5 | 2016 | 63 | |
| 6 | 2022 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2015 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2024 | 0 |
About Tim Rand
Tim Rand is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Physiology, 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), Macrophage Migration Inhibitory Factor (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (525 citations), Molecular Biology (1.4k citations), Aging (32 citations), Immunology (157 citations) and Plant Science (258 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, Hyun-Eui Kim, Qinghua Liu, Savitha Kalidas, Krzysztof Ginalski, Nick V. Grishin and Shinya Yamanaka. Their work appears in journals such as Current Protocols in Human Genetics, Proceedings of the National Academy of Sciences, Nature Communications, Cell Reports and Cell stem cell.
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.