Jaclyn M. Goodrich
- Health, Toxicology and Mutagenesis top 0.5%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Nutrition and Dietetics top 5%
- Genetics top 10%
- Co-authors
- Dana C. DolinoyNiladri BasuVasantha PadmanabhanAlfred FranzblauKaren E. PetersonSteven E. DominoMartha María Téllez‐RojoChristopher Faulk
- Topics
- Epigenetics and DNA Methylation (45 papers)Birth, Development, and Health (37 papers)Heavy Metal Exposure and Toxicity (28 papers)
- Cited by
- Health, Toxicology and MutagenesisPediatrics, Perinatology and Child HealthObstetrics and Gynecology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Jaclyn M. Goodrich
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 134
- Health, Toxicology and Mutagenesis 1.4k
- Molecular Biology 734
- Pediatrics, Perinatology and Child Health 555
- Nutrition and Dietetics 236
- Genetics 211
Countries citing papers authored by Jaclyn M. Goodrich
This map shows the geographic impact of Jaclyn M. Goodrich'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 Jaclyn M. Goodrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaclyn M. Goodrich more than expected).
Fields of papers citing papers by Jaclyn M. Goodrich
This network shows the impact of papers produced by Jaclyn M. Goodrich. 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 Jaclyn M. Goodrich. The network helps show where Jaclyn M. Goodrich may publish in the future.
Co-authorship network of co-authors of Jaclyn M. Goodrich
This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn M. Goodrich. A scholar is included among the top collaborators of Jaclyn M. Goodrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaclyn M. Goodrich. Jaclyn M. Goodrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 22 | |
| 10 | 5 | |
| 11 | 30 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 25 | |
| 18 | 13 | |
| 19 | 12 | |
| 20 | 10 |
About Jaclyn M. Goodrich
Jaclyn M. Goodrich is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health and Occupational Therapy, having authored 115 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (45 papers), Birth, Development, and Health (37 papers) and Heavy Metal Exposure and Toxicity (28 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Pediatrics, Perinatology and Child Health (555 citations) and Obstetrics and Gynecology (155 citations). Jaclyn M. Goodrich has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Dana C. Dolinoy, Niladri Basu, Vasantha Padmanabhan, Alfred Franzblau, Karen E. Peterson, Steven E. Domino, Martha María Téllez‐Rojo, Christopher Faulk, John D. Meeker and Tamara R. Jones. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.