Daniel L. Vera
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
-
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
-
- Genomics and Chromatin Dynamics 13
- Epigenetics and DNA Methylation 6
- Genomics and Phylogenetic Studies 5
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 3
-
- Chromosomal and Genetic Variations 11
- Co-authors
- Hank W. Bass (10 shared papers)Eli Rodgers‐Melnick (1 shared paper)Edward S. Buckler (1 shared paper)David M. Gilbert (5 shared papers)Jiao Sima (3 shared papers)Jonathan H. Dennis (11 shared papers)William Stafford Noble (2 shared papers)Ferhat Ay (2 shared papers)
- Journals
- Genome Research (3 papers)PLANT PHYSIOLOGY (2 papers)PLoS Genetics (2 papers)Oncotarget (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel L. Vera
33 papers receiving 911 citations
Peers
Comparison fields: 5 of 73
- Plant Science 430
- Molecular Biology 682
- Genetics 193
- Aging 11
- Endocrine and Autonomic Systems 30
Countries citing papers authored by Daniel L. Vera
This map shows the geographic impact of Daniel L. Vera'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 L. Vera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Vera more than expected).
Fields of papers citing papers by Daniel L. Vera
This network shows the impact of papers produced by Daniel L. Vera. 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 L. Vera. The network helps show where Daniel L. Vera may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Vera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 185 | |
| 2 | 2015 | 118 | |
| 3 | 2018 | 96 | |
| 4 | 2014 | 59 | |
| 5 | 2018 | 53 | |
| 6 | 2020 | 43 | |
| 7 | 2017 | 40 | |
| 8 | 2018 | 27 | |
| 9 | 2021 | 27 | |
| 10 | 2016 | 27 | |
| 11 | 2013 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2013 | 23 | |
| 14 | 2017 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2016 | 17 | |
| 17 | 2015 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 2024 | 11 | |
| 20 | 2018 | 9 |
About Daniel L. Vera
Daniel L. Vera is a scholar working on Molecular Biology, Plant Science, Genetics, Physiology and Immunology, having authored 34 papers that have together received 915 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), Chromosomal and Genetic Variations (11 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Phylogenetic Studies (5 papers), DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers), Genetic Syndromes and Imprinting (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Plant Science (430 citations), Molecular Biology (682 citations), Genetics (193 citations), Aging (11 citations) and Endocrine and Autonomic Systems (30 citations). Daniel L. Vera has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Hank W. Bass, Eli Rodgers‐Melnick, Edward S. Buckler, David M. Gilbert, Jiao Sima, Jonathan H. Dennis, William Stafford Noble, Ferhat Ay, Vishnu Dileep and Takayo Sasaki. Their work appears in journals such as Genome Research, PLANT PHYSIOLOGY, PLoS Genetics, Oncotarget and Stem 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.