Penelope Motum
- Hematology top 10%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health
- Obstetrics and Gynecology
- Public Health, Environmental and Occupational Health
- Co-authors
- Ronald J. TrentRobert W. LindemanAlison L. KearneyAnnemarie HennessyXiaosuo WangRenuka ShanmugalingamAngela MakrisRonald S. Walls
- Topics
- Hemoglobinopathies and Related Disorders (7 papers)Iron Metabolism and Disorders (4 papers)Blood groups and transfusion (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismHypertensionAmerican Journal of Ophthalmology
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Penelope Motum
22 papers receiving 257 citations
Peers
Comparison fields: 5 of 55
- Hematology 139
- Genetics 98
- Pediatrics, Perinatology and Child Health 49
- Obstetrics and Gynecology 39
- Public Health, Environmental and Occupational Health 33
Countries citing papers authored by Penelope Motum
This map shows the geographic impact of Penelope Motum'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 Penelope Motum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penelope Motum more than expected).
Fields of papers citing papers by Penelope Motum
This network shows the impact of papers produced by Penelope Motum. 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 Penelope Motum. The network helps show where Penelope Motum may publish in the future.
Co-authorship network of co-authors of Penelope Motum
This figure shows the co-authorship network connecting the top 25 collaborators of Penelope Motum. A scholar is included among the top collaborators of Penelope Motum 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 Penelope Motum. Penelope Motum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 31 | |
| 3 | 21 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 26 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 25 | |
| 20 | 3 |
About Penelope Motum
Penelope Motum is a scholar working on Hematology, Genetics and Obstetrics and Gynecology, having authored 24 papers that have together received 265 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (139 citations), Genetics (98 citations) and Obstetrics and Gynecology (39 citations). Penelope Motum has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Ronald J. Trent, Robert W. Lindeman, Alison L. Kearney, Annemarie Hennessy, Xiaosuo Wang, Renuka Shanmugalingam, Angela Makris, Ronald S. Walls, Ian C. Francis and Stephen P. Mulligan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and American Journal of Ophthalmology.
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.