Sandra L. Grimm
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Cancer Research top 10%
- Immunology top 10%
- Co-authors
- Jeffrey M. RosenDean P. EdwardsSean M. HartigCristian CoarfaKeiko MiyoshiLothar HennighausenJonathan M. ShillingfordGertraud W. Robinson
- Topics
- Estrogen and related hormone effects (16 papers)Epigenetics and DNA Methylation (11 papers)Cytokine Signaling Pathways and Interactions (7 papers)
- Cited by
- OncologyGeneticsCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sandra L. Grimm
72 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 796
- Oncology 537
- Genetics 476
- Cancer Research 227
- Immunology 225
Countries citing papers authored by Sandra L. Grimm
This map shows the geographic impact of Sandra L. Grimm'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 Sandra L. Grimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra L. Grimm more than expected).
Fields of papers citing papers by Sandra L. Grimm
This network shows the impact of papers produced by Sandra L. Grimm. 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 Sandra L. Grimm. The network helps show where Sandra L. Grimm may publish in the future.
Co-authorship network of co-authors of Sandra L. Grimm
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra L. Grimm. A scholar is included among the top collaborators of Sandra L. Grimm 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 Sandra L. Grimm. Sandra L. Grimm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 31 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 5 | |
| 18 | 24 | |
| 19 | 10 | |
| 20 | 42 |
About Sandra L. Grimm
Sandra L. Grimm is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (16 papers), Epigenetics and DNA Methylation (11 papers) and Cytokine Signaling Pathways and Interactions (7 papers). The work is most often cited by research in Oncology (537 citations), Genetics (476 citations) and Cancer Research (227 citations). Sandra L. Grimm has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey M. Rosen, Dean P. Edwards, Sean M. Hartig, Cristian Coarfa, Keiko Miyoshi, Lothar Hennighausen, Jonathan M. Shillingford, Gertraud W. Robinson, Gilbert H. Smith and Kay‐Uwe Wagner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.