Cindy E. McKinney
- Molecular Biology top 10%
- Cancer Research top 5%
- Physiology top 10%
- Cell Biology top 5%
- Genetics top 10%
- Co-authors
- Edward I. GinnsEllen SidranskyMary E. LaMarcaDiana K. SarkoPankaj SharmaJenny DoRichard E. KouriTheodore L. McLemore
- Topics
- Carcinogens and Genotoxicity Assessment (5 papers)Lysosomal Storage Disorders Research (5 papers)Cellular transport and secretion (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Cell Biology
- Partner nations
- United StatesNetherlandsHungary
In The Last Decade
Cindy E. McKinney
20 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 955
- Cancer Research 356
- Physiology 340
- Cell Biology 321
- Genetics 218
Countries citing papers authored by Cindy E. McKinney
This map shows the geographic impact of Cindy E. McKinney'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 Cindy E. McKinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy E. McKinney more than expected).
Fields of papers citing papers by Cindy E. McKinney
This network shows the impact of papers produced by Cindy E. McKinney. 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 Cindy E. McKinney. The network helps show where Cindy E. McKinney may publish in the future.
Co-authorship network of co-authors of Cindy E. McKinney
This figure shows the co-authorship network connecting the top 25 collaborators of Cindy E. McKinney. A scholar is included among the top collaborators of Cindy E. McKinney 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 Cindy E. McKinney. Cindy E. McKinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 205 | |
| 3 | 130 | |
| 4 | 31 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 63 | |
| 9 | 81 | |
| 10 | 407 | |
| 11 | 249 | |
| 12 | 51 | |
| 13 | 7 | |
| 14 | 241 | |
| 15 | Human CYP1A1 gene: cosegregation of the enzyme inducibility phenotype and an RFLP. | 152 |
| 16 | 14 | |
| 17 | 6 | |
| 18 | Aryl hydrocarbon hydroxylase inducibility among primary relatives of children with leukemia or solid tumors. | 10 |
| 19 | Positive correlation between high aryl hydrocarbon hydroxylase activity and primary lung cancer as analyzed in cryopreserved lymphocytes. | 242 |
| 20 | 7 |
About Cindy E. McKinney
Cindy E. McKinney is a scholar working on Cancer Research, Cell Biology and Developmental Neuroscience, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Lysosomal Storage Disorders Research (5 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cancer Research (356 citations), Cell Biology (321 citations) and Pharmaceutical Science (119 citations). Cindy E. McKinney has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Edward I. Ginns, Ellen Sidransky, Mary E. LaMarca, Diana K. Sarko, Pankaj Sharma, Jenny Do, Richard E. Kouri, Theodore L. McLemore, Paul Börnstein and Naomi R. Wray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Cell Biology.
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.