Margaret C. Grabb
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 5%
- Pathology and Forensic Medicine top 10%
- Developmental Neuroscience top 5%
- Co-authors
- Dennis W. ChoiJin‐Moo LeeGregory J. ZipfelFrank GottronVeronica M. SciottiDavid G. L. Van WylenXin WangShan Ping Yu
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Anesthesia and Neurotoxicity Research (3 papers)Cardiac Ischemia and Reperfusion (3 papers)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Margaret C. Grabb
13 papers receiving 988 citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 408
- Molecular Biology 396
- Neurology 228
- Pathology and Forensic Medicine 164
- Developmental Neuroscience 157
Countries citing papers authored by Margaret C. Grabb
This map shows the geographic impact of Margaret C. Grabb'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 Margaret C. Grabb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret C. Grabb more than expected).
Fields of papers citing papers by Margaret C. Grabb
This network shows the impact of papers produced by Margaret C. Grabb. 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 Margaret C. Grabb. The network helps show where Margaret C. Grabb may publish in the future.
Co-authorship network of co-authors of Margaret C. Grabb
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret C. Grabb. A scholar is included among the top collaborators of Margaret C. Grabb 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 Margaret C. Grabb. Margaret C. Grabb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ensuring Stakeholder Feedback in the Design and Conduct of Clinical Trials for Rare Diseases: ISCTM Position Paper of the Orphan Disease Working Group. | 3 |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 35 | |
| 8 | 423 | |
| 9 | 124 | |
| 10 | 212 | |
| 11 | 41 | |
| 12 | 58 | |
| 13 | 57 |
About Margaret C. Grabb
Margaret C. Grabb is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Anesthesia and Neurotoxicity Research (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Developmental Neuroscience (157 citations), Neurology (228 citations) and Cellular and Molecular Neuroscience (408 citations). Margaret C. Grabb has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Dennis W. Choi, Jin‐Moo Lee, Gregory J. Zipfel, Frank Gottron, Veronica M. Sciotti, David G. L. Van Wylen, Xin Wang, Shan Ping Yu, Lorella M.T. Canzoniero and Dorothy M. Turetsky. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and Neuroscience.
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.