Marcia H. Ratner
- Pharmacology top 1%
- Molecular Biology
- Epidemiology
- Plant Science top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Josef OzerWendy BaileyMartin ShawShelli SchomakerDavid H. FarbVidhya KumaresanRobert G. FeldmanThomas Ptak
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Carcinogens and Genotoxicity Assessment (4 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Health PerspectivesPharmacological Reviews
- Partner nations
- United StatesItalyThailand
In The Last Decade
Marcia H. Ratner
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Pharmacology 348
- Molecular Biology 301
- Epidemiology 196
- Plant Science 187
- Endocrinology, Diabetes and Metabolism 109
Countries citing papers authored by Marcia H. Ratner
This map shows the geographic impact of Marcia H. Ratner'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 Marcia H. Ratner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia H. Ratner more than expected).
Fields of papers citing papers by Marcia H. Ratner
This network shows the impact of papers produced by Marcia H. Ratner. 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 Marcia H. Ratner. The network helps show where Marcia H. Ratner may publish in the future.
Co-authorship network of co-authors of Marcia H. Ratner
This figure shows the co-authorship network connecting the top 25 collaborators of Marcia H. Ratner. A scholar is included among the top collaborators of Marcia H. Ratner 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 Marcia H. Ratner. Marcia H. Ratner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 72 | |
| 8 | 10 | |
| 9 | 30 | |
| 10 | 43 | |
| 11 | 30 | |
| 12 | The current state of serum biomarkers of hepatotoxicitybreakdown → | 999 |
| 13 | 11 | |
| 14 | 34 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Primary malignant neoplasms of the small intestine. | 1 |
About Marcia H. Ratner
Marcia H. Ratner is a scholar working on Behavioral Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Pharmacology (348 citations), Hepatology (107 citations) and Behavioral Neuroscience (42 citations). Marcia H. Ratner has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Josef Ozer, Wendy Bailey, Martin Shaw, Shelli Schomaker, David H. Farb, Vidhya Kumaresan, Robert G. Feldman, Thomas Ptak, R. Jonathan Robitsek and Raymon Durso. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Health Perspectives and Pharmacological Reviews.
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.