Martha M. Rumore

706 total citations
35 papers, 517 citations indexed

About

Martha M. Rumore is a scholar working on Geriatrics and Gerontology, Economics and Econometrics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Martha M. Rumore has authored 35 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geriatrics and Gerontology, 7 papers in Economics and Econometrics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Martha M. Rumore's work include Pharmaceutical Practices and Patient Outcomes (7 papers), Pharmaceutical studies and practices (5 papers) and Pharmaceutical Economics and Policy (5 papers). Martha M. Rumore is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (7 papers), Pharmaceutical studies and practices (5 papers) and Pharmaceutical Economics and Policy (5 papers). Martha M. Rumore collaborates with scholars based in United States, France and Canada. Martha M. Rumore's co-authors include Yesha Patel, Eoin Slattery, David S. Seres, Brenna M. Farmer, Steven Wang, Georgeta Vaidean, Marc Roth, Ken Cohen, Jack M. Rosenberg and Craig A. Kovera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and Life Sciences.

In The Last Decade

Martha M. Rumore

34 papers receiving 485 citations

Peers

Martha M. Rumore
Comparison fields: 5 of 121
  • Physiology 107
  • Molecular Biology 97
  • Immunology 67
  • Pharmacology 54
  • Pharmacology 54
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M. M. Reidenberg United States View profile →
Citations per field, relative to Martha M. Rumore
Martha M. Rumore · 1×
Citations per year, relative to Martha M. Rumore
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Countries citing papers authored by Martha M. Rumore

Since Specialization
Citations

This map shows the geographic impact of Martha M. Rumore'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 Martha M. Rumore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha M. Rumore more than expected).

Fields of papers citing papers by Martha M. Rumore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martha M. Rumore. 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 Martha M. Rumore. The network helps show where Martha M. Rumore may publish in the future.

Co-authorship network of co-authors of Martha M. Rumore

This figure shows the co-authorship network connecting the top 25 collaborators of Martha M. Rumore. A scholar is included among the top collaborators of Martha M. Rumore 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 Martha M. Rumore. Martha M. Rumore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 14
3 14
4 2
5 16
6 10
7
Hydroxyprogesterone caproate injection (makena) one year later: to compound or not to compound that is the question.
15
8 10
9 10
10 2
11 18
12 11
13 73
14 29
15 1
16 1
17 2
18 1
19 65
20 78

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.

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