Afzan Adam

36 papers receiving 611 citations

Peers

Afzan Adam
Comparison fields: 5 of 117
  • Health Informatics 30
  • Radiology, Nuclear Medicine and Imaging 150
  • Nutrition and Dietetics 79
  • Food Science 87
  • Plant Science 144
Replace Shweta Srivastava with:
Shweta Srivastava United States
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Xiaoshuang Liu China
Haotian Ma China
Reza Hashemifesharaki Iran
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Citations per year

Countries citing papers authored by Afzan Adam

Since Specialization
Citations

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

Fields of papers citing papers by Afzan Adam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Afzan Adam, 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 Afzan Adam Line = papers co-authored together Afzan Adam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011184
2 2021126
3
The oral and intratracheal toxicities of ROUNDUP and its components to rats.
199745
4 202339
5 201230
6 202121
7 202020
8 201715
9 202313
10 201811
11 202211
12 202410
13 201810
14 20159
15 20188
16 20248
17 20218
18
Lactobacillus fermentum LAB 9-fermented soymilk with enriched isoflavones and antioxidants improved memory In vivo
20168
19 20187
20 19907

About Afzan Adam

Afzan Adam is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Oncology, having authored 37 papers that have together received 637 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging and Analysis (4 papers), Medical Image Segmentation Techniques (3 papers), Brain Tumor Detection and Classification (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), COVID-19 diagnosis using AI (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (150 citations), Nutrition and Dietetics (79 citations), Food Science (87 citations) and Plant Science (144 citations). Afzan Adam has collaborated with scholars based in Malaysia, United Kingdom and Iraq. Frequent co-authors include Ronald P. Mensink, Elke Theuwissen, Alvin Berger, Michael G.H. Bell, Fred Brouns, Robertas Damaševičius, Mazin Abed Mohammed, Ammar Kamal Abasi, Karrar Hameed Abdulkareem and Mohammed A. Awadallah. Their work appears in journals such as IEEE Access, GEMA Online Journal of Language Studies, BMC Cancer, Environmental Health Perspectives and Computers, materials & continua/Computers, materials & continua (Print).

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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