David J. Grunwald
Impact in
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications
- Aging top 2%
Papers in
- Cell Biology 13
- Zebrafish Biomedical Research Applications 11
-
- Congenital heart defects research 15
- Developmental Biology and Gene Regulation 13
- CRISPR and Genetic Engineering 10
- Pluripotent Stem Cells Research 10
- Epigenetics and DNA Methylation 4
- Co-authors
- Judith S EisenKazuyuki HoshijimaMichael J. JurynecScott E. StachelPaul Z. MyersGeorge StreisingerTimothy J. DahlemDavid D. Moore
- Journals
- Developmental Biology (6 papers)Development (4 papers)Developmental Cell (4 papers)Disease Models & Mechanisms (3 papers)Science (3 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
David J. Grunwald
58 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cell Biology 1.6k
- Aging 119
- Molecular Biology 4.2k
- Developmental Neuroscience 176
- Genetics 1.0k
Countries citing papers authored by David J. Grunwald
This map shows the geographic impact of David J. Grunwald'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 David J. Grunwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Grunwald more than expected).
Fields of papers citing papers by David J. Grunwald
This network shows the impact of papers produced by David J. Grunwald. 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 David J. Grunwald. The network helps show where David J. Grunwald may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Grunwald, 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 | 2023 | 1 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 1 | |
| 10 | 2016 | 145 | |
| 11 | 2012 | 374 | |
| 12 | 2012 | 70 | |
| 13 | 2008 | 21 | |
| 14 | 2003 | 69 | |
| 15 | Headwaters of the zebrafish — emergence of a new model vertebrate Hit paper breakdown → | 2002 | 571 |
| 16 | 2002 | 31 | |
| 17 | 1999 | 49 | |
| 18 | 1997 | 99 | |
| 19 | 1996 | 36 | |
| 20 | 1993 | 52 |
About David J. Grunwald
David J. Grunwald is a scholar working on Cell Biology, Molecular Biology, Genetics, Virology and Cancer Research, having authored 58 papers that have together received 5.5k indexed citations. Recurring topics across this work include Congenital heart defects research (15 papers), Developmental Biology and Gene Regulation (13 papers), Zebrafish Biomedical Research Applications (11 papers), CRISPR and Genetic Engineering (10 papers), Pluripotent Stem Cells Research (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Animal Genetics and Reproduction (6 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cell Biology (1.6k citations), Aging (119 citations), Molecular Biology (4.2k citations), Developmental Neuroscience (176 citations) and Genetics (1.0k citations). David J. Grunwald has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Judith S Eisen, Kazuyuki Hoshijima, Michael J. Jurynec, Scott E. Stachel, Paul Z. Myers, George Streisinger, Timothy J. Dahlem, David D. Moore, Ann E. Blechl and Bill G. Williams. Their work appears in journals such as Developmental Biology, Development, Developmental Cell, Disease Models & Mechanisms and Science.
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.