Michelle McNamara
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Infectious Diseases top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Julie BérubéMaurice R.G. O’GormanSuraj SaksenaWei HuangScott J. BornheimerA.H. ChapmanM. D. LittleNicole Hindman
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Pancreatic and Hepatic Oncology Research (7 papers)Hepatocellular Carcinoma Treatment and Prognosis (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michelle McNamara
36 papers receiving 708 citations
Peers
Comparison fields: 5 of 75
- Surgery 201
- Radiology, Nuclear Medicine and Imaging 187
- Oncology 157
- Infectious Diseases 139
- Pulmonary and Respiratory Medicine 119
Countries citing papers authored by Michelle McNamara
This map shows the geographic impact of Michelle McNamara'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 Michelle McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle McNamara more than expected).
Fields of papers citing papers by Michelle McNamara
This network shows the impact of papers produced by Michelle McNamara. 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 Michelle McNamara. The network helps show where Michelle McNamara may publish in the future.
Co-authorship network of co-authors of Michelle McNamara
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle McNamara. A scholar is included among the top collaborators of Michelle McNamara 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 Michelle McNamara. Michelle McNamara 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 | 6 | |
| 3 | 30 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | Burden and Impacts of Daily Recombinant Human Growth Hormone (r-hGH) Injections in Growth Hormone Deficient (GHD) Paediatric Patients | 1 |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 72 | |
| 18 | 9 | |
| 19 | 28 | |
| 20 | 50 |
About Michelle McNamara
Michelle McNamara is a scholar working on Hepatology, Oncology and Developmental Biology, having authored 37 papers that have together received 728 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). The work is most often cited by research in Hepatology (98 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Emergency Medicine (74 citations). Michelle McNamara has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Julie Bérubé, Maurice R.G. O’Gorman, Suraj Saksena, Wei Huang, Scott J. Bornheimer, A.H. Chapman, M. D. Little, Nicole Hindman, Lauren F. Alexander and Jeanne M. Horowitz. Their work appears in journals such as American Journal of Roentgenology, Radiographics and Nephrology Dialysis Transplantation.
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.