Melissa Ford

718 citations
12 papers · 263 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Global Cancer Incidence and Screening (2 papers)Lung Cancer Diagnosis and Treatment (2 papers)

In The Last Decade

Melissa Ford

10 papers receiving 253 citations

Peers

Melissa Ford
Comparison fields: 5 of 74
  • Pulmonary and Respiratory Medicine 119
  • Radiology, Nuclear Medicine and Imaging 103
  • Oncology 54
  • Pediatrics, Perinatology and Child Health 32
  • Cancer Research 30
Replace Joanna Begent with:
Joanna Begent United Kingdom
Elyse Reamer United States
Deborah Kuban United States
Rebecca Smittenaar United Kingdom
P.M. Fisher United Kingdom
Anna Lydon United Kingdom
Fleur Huang Canada
Divya Yerramilli United States
Mary Gardner United States
Elena Bertelli Italy
Melissa Ford relative to Joanna Begent United Kingdom Joanna Begent's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Melissa Ford

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Ford. 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 Melissa Ford. The network helps show where Melissa Ford may publish in the future.

Co-authorship network of co-authors of Melissa Ford

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 1
3 19
4 19
5 93
6 14
7 60
8 13
9 5
10
The management of ovarian cancer.
1
11 0
12 35

About Melissa Ford

Melissa Ford is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Statistics and Probability, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Global Cancer Incidence and Screening (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (103 citations), Pulmonary and Respiratory Medicine (119 citations) and Cancer Research (30 citations). Melissa Ford has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Diane C. Strollo, David S. Gierada, Kavita Garg, Hrudaya Nath, Richard M. Fagerstrom, Lynn S. Walker, Timothy R. Church, Thomas K. Pilgram, Melissa L. Bondy and Marsha D. McNeese. Their work appears in journals such as PEDIATRICS, Cancer and Radiology.

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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