Daniel J. Battle
Impact in
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Muscle Physiology and Disorders
Papers in
-
- RNA modifications and cancer 14
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 2
- Cancer-related gene regulation 1
- RNA Interference and Gene Delivery 1
- Genetics 13
- Neurogenetic and Muscular Disorders Research 13
- Co-authors
- Gideon Dreyfuss (8 shared papers)Jennifer A. Doudna (2 shared papers)Stephen J. Kolb (4 shared papers)Lili Wan (5 shared papers)Jeongsik Yong (4 shared papers)Terrence Chi‐Kong Lau (2 shared papers)Francesco Lotti (2 shared papers)Jin Wang (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (3 papers)Human Molecular Genetics (2 papers)Journal of Neuromuscular Diseases (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSaudi ArabiaCanada
In The Last Decade
Daniel J. Battle
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 53
- Genetics 623
- Molecular Biology 924
- Neurology 54
- Genetics 60
- Cancer Research 32
Countries citing papers authored by Daniel J. Battle
This map shows the geographic impact of Daniel J. Battle'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 Daniel J. Battle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Battle more than expected).
Fields of papers citing papers by Daniel J. Battle
This network shows the impact of papers produced by Daniel J. Battle. 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 Daniel J. Battle. The network helps show where Daniel J. Battle may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Battle, 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 | 2005 | 150 | |
| 2 | 2006 | 144 | |
| 3 | 2006 | 124 | |
| 4 | 2007 | 122 | |
| 5 | 2002 | 85 | |
| 6 | 2005 | 81 | |
| 7 | 2004 | 68 | |
| 8 | 2001 | 68 | |
| 9 | 2007 | 50 | |
| 10 | 2015 | 31 | |
| 11 | 2012 | 29 | |
| 12 | 2013 | 24 | |
| 13 | 2005 | 24 | |
| 14 | 2015 | 14 | |
| 15 | 2020 | 3 |
About Daniel J. Battle
Daniel J. Battle is a scholar working on Molecular Biology, Genetics, Surgery, Infectious Diseases and Organic Chemistry, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), Neurogenetic and Muscular Disorders Research (13 papers), RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related gene regulation (1 paper), Cardiac Structural Anomalies and Repair (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (623 citations), Molecular Biology (924 citations), Neurology (54 citations), Genetics (60 citations) and Cancer Research (32 citations). Daniel J. Battle has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Gideon Dreyfuss, Jennifer A. Doudna, Stephen J. Kolb, Lili Wan, Jeongsik Yong, Terrence Chi‐Kong Lau, Francesco Lotti, Jin Wang, Amelie K. Gubitz and Eileen Workman. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Human Molecular Genetics, Journal of Neuromuscular Diseases and Brain Research.
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.