Marsha E. Reichman
- Oncology top 1%
- Epidemiology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Sean F. AltekruseKatherine A. McGlynnBrenda K. EdwardsNadia HowladerMatthew J. HayatMary SouthworthLynn A. G. RiesBenjamin F. Hankey
- Topics
- Global Cancer Incidence and Screening (6 papers)RNA and protein synthesis mechanisms (5 papers)Estrogen and related hormone effects (5 papers)
- Cited by
- Internal MedicineHepatologyOncology
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Marsha E. Reichman
65 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Oncology 2.1k
- Epidemiology 1.6k
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 898
Countries citing papers authored by Marsha E. Reichman
This map shows the geographic impact of Marsha E. Reichman'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 Marsha E. Reichman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marsha E. Reichman more than expected).
Fields of papers citing papers by Marsha E. Reichman
This network shows the impact of papers produced by Marsha E. Reichman. 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 Marsha E. Reichman. The network helps show where Marsha E. Reichman may publish in the future.
Co-authorship network of co-authors of Marsha E. Reichman
This figure shows the co-authorship network connecting the top 25 collaborators of Marsha E. Reichman. A scholar is included among the top collaborators of Marsha E. Reichman 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 Marsha E. Reichman. Marsha E. Reichman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 98 | |
| 2 | 5 | |
| 3 | 47 | |
| 4 | 7 | |
| 5 | 39 | |
| 6 | 31 | |
| 7 | Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillationbreakdown → | 498 |
| 8 | 358 | |
| 9 | 217 | |
| 10 | 42 | |
| 11 | 34 | |
| 12 | 131 | |
| 13 | 35 | |
| 14 | 42 | |
| 15 | 101 | |
| 16 | 43 | |
| 17 | Relationships of age and reproductive characteristics with plasma estrogens and androgens in premenopausal women. | 89 |
| 18 | 18 | |
| 19 | 286 | |
| 20 | 18 |
About Marsha E. Reichman
Marsha E. Reichman is a scholar working on Family Practice, Toxicology and Otorhinolaryngology, having authored 65 papers that have together received 7.7k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), RNA and protein synthesis mechanisms (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Internal Medicine (552 citations), Hepatology (841 citations) and Oncology (2.1k citations). Marsha E. Reichman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sean F. Altekruse, Katherine A. McGlynn, Brenda K. Edwards, Nadia Howlader, Matthew J. Hayat, Mary Southworth, Lynn A. G. Ries, Benjamin F. Hankey, Ellis F. Unger and David J. Graham. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.