Marilyn E. Miller
- Hematology top 5%
- Physiology
- Genetics
- Genetics top 10%
- Molecular Biology
- Co-authors
- E. P. CronkiteJoseph F. GarciaW. Jack RejeskiStephen R. RappC. FoyStephen P. MessierFrederick StohlmanKenichi Harigaya
- Topics
- Erythropoietin and Anemia Treatment (9 papers)Blood properties and coagulation (5 papers)Erythrocyte Function and Pathophysiology (4 papers)
- Cited by
- HematologyGeneticsBiochemistry
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesPakistanJapan
In The Last Decade
Marilyn E. Miller
41 papers receiving 900 citations
Peers
Comparison fields: 5 of 135
- Hematology 274
- Physiology 131
- Genetics 128
- Genetics 108
- Molecular Biology 103
Countries citing papers authored by Marilyn E. Miller
This map shows the geographic impact of Marilyn E. Miller'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 Marilyn E. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn E. Miller more than expected).
Fields of papers citing papers by Marilyn E. Miller
This network shows the impact of papers produced by Marilyn E. Miller. 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 Marilyn E. Miller. The network helps show where Marilyn E. Miller may publish in the future.
Co-authorship network of co-authors of Marilyn E. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn E. Miller. A scholar is included among the top collaborators of Marilyn E. Miller 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 Marilyn E. Miller. Marilyn E. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 143 | |
| 5 | 28 | |
| 6 | 36 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 45 | |
| 12 | 53 | |
| 13 | 39 | |
| 14 | 20 | |
| 15 | 55 | |
| 16 | 12 | |
| 17 | Cellular deformability of the human peripheral blood polymorphonuclear leukocyte: method of study, normal variation and effects of physical and chemical alterations. | 20 |
| 18 | 68 | |
| 19 | 3 | |
| 20 | 2 |
About Marilyn E. Miller
Marilyn E. Miller is a scholar working on Hematology, Genetics and Family Practice, having authored 41 papers that have together received 976 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (9 papers), Blood properties and coagulation (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Hematology (274 citations), Genetics (108 citations) and Biochemistry (50 citations). Marilyn E. Miller has collaborated with scholars based in United States, Pakistan and Japan. Frequent co-authors include E. P. Cronkite, Joseph F. Garcia, W. Jack Rejeski, Stephen R. Rapp, C. Foy, Stephen P. Messier, Frederick Stohlman, Kenichi Harigaya, Donald R. Howard and Graça M. Dores. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.