Mary McKenney
- Hematology top 1%
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Pathology and Forensic Medicine
- Co-authors
- Kenneth C. AndersonTeru HideshimaPaul G. RichardsonRobert SchlossmanDeborah DossEdie WellerConstantine S. MitsiadesFaith E. Davies
- Topics
- Multiple Myeloma Research and Treatments (10 papers)Protein Degradation and Inhibitors (6 papers)Cancer Treatment and Pharmacology (5 papers)
- Cited by
- HematologyOncologyGenetics
- Partner nations
- United StatesItaly
In The Last Decade
Mary McKenney
10 papers receiving 831 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Hematology 769
- Molecular Biology 655
- Oncology 411
- Genetics 124
- Pathology and Forensic Medicine 59
Countries citing papers authored by Mary McKenney
This map shows the geographic impact of Mary McKenney'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 Mary McKenney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary McKenney more than expected).
Fields of papers citing papers by Mary McKenney
This network shows the impact of papers produced by Mary McKenney. 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 Mary McKenney. The network helps show where Mary McKenney may publish in the future.
Co-authorship network of co-authors of Mary McKenney
This figure shows the co-authorship network connecting the top 25 collaborators of Mary McKenney. A scholar is included among the top collaborators of Mary McKenney 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 Mary McKenney. Mary McKenney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | Tailoring treatment for multiple myeloma patients with relapsed and refractory disease. | 10 |
| 5 | 21 | |
| 6 | 127 | |
| 7 | 26 | |
| 8 | 22 | |
| 9 | Immunomodulatory drug CC-5013 overcomes drug resistance and is well tolerated in patients with relapsed multiple myelomabreakdown → | 630 |
| 10 | A phase 1 study of oral CC5013, an immunomodulatory thalidomide (Thal) derivative, in patients with relapsed and refractory multiple myeloma (MM). | 23 |
| 11 | Divorce: A selected annotated bibliography | 2 |
About Mary McKenney
Mary McKenney is a scholar working on Hematology, Oncology and Molecular Biology, having authored 11 papers that have together received 871 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (6 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Hematology (769 citations), Oncology (411 citations) and Genetics (124 citations). Mary McKenney has collaborated with scholars based in United States and Italy. Frequent co-authors include Kenneth C. Anderson, Teru Hideshima, Paul G. Richardson, Robert Schlossman, Deborah Doss, Edie Weller, Constantine S. Mitsiades, Faith E. Davies, Joan J. Ryoo and Laurence Catley. Their work appears in journals such as Journal of Clinical Oncology, Blood and European Journal Of Haematology.
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.