Nadia Rajaram

405 citations
11 papers · 144 · h-index 6

Impact in

    • Global Cancer Incidence and Screening
    • Cancer survivorship and care
    • Cancer Risks and Factors
    • Colorectal Cancer Screening and Detection
    • Digital Radiography and Breast Imaging

Papers in

Nadia Rajaram

10 papers receiving 143 citations

Peers

Nadia Rajaram
Comparison fields: 5 of 37
  • Oncology 53
  • Pulmonary and Respiratory Medicine 39
  • Pathology and Forensic Medicine 18
  • Artificial Intelligence 28
  • Radiology, Nuclear Medicine and Imaging 11
Replace Weang-Kee Ho with:
Weang-Kee Ho Malaysia
Anath Flugelman Israel
Barbara Crossley United Kingdom
Thị Xuân Mai Trần South Korea
Katja Jarm Slovenia
Colin Wells United States
Rupert Alison United Kingdom
Bryan Bowser United States
Juan Luis Cruz-Bermúdez Spain
Claudia L. Seguin United States
Nadia Rajaram relative to Weang-Kee Ho Malaysia Weang-Kee Ho's profile →
Citations per field
00.5×1.5×
Weang-Kee Ho · 1×
Citations per year

Countries citing papers authored by Nadia Rajaram

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Rajaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Nadia Rajaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nadia Rajaram Line = papers co-authored together Nadia Rajaram links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201672
2 201820
3 201717
4 201813
5 20188
6 20237
7 20224
8 20231
9 20241
10 20171
11 20230

About Nadia Rajaram

Nadia Rajaram is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Ecology, having authored 11 papers that have together received 144 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (3 papers), Digital Radiography and Breast Imaging (2 papers), Phytoestrogen effects and research (2 papers), Obesity, Physical Activity, Diet (1 paper), Nutrition, Genetics, and Disease (1 paper), Food Waste Reduction and Sustainability (1 paper), Cancer Risks and Factors (1 paper) and Agriculture Sustainability and Environmental Impact (1 paper). The work is most often cited by research in Oncology (53 citations), Pulmonary and Respiratory Medicine (39 citations), Pathology and Forensic Medicine (18 citations), Artificial Intelligence (28 citations) and Radiology, Nuclear Medicine and Imaging (11 citations). Nadia Rajaram has collaborated with scholars based in Malaysia, Sweden and Netherlands. Frequent co-authors include Soo‐Hwang Teo, Shivaani Mariapun, Nur Aishah Mohd Taib, Weang-Kee Ho, Per Hall, Mikael Eriksson, Kartini Rahmat, Kamila Czene, Cheng Har Yip and Marianne Lee. Their work appears in journals such as Nutrients, Travel Medicine and Infectious Disease, Breast Cancer Research and Treatment, PLoS ONE and Journal of Nutritional Science.

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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