Malak Itani

1.4k citations
103 papers · 859 · h-index 17

Impact in

Papers in

Malak Itani

81 papers receiving 842 citations

Peers

Malak Itani
Comparison fields: 5 of 85
  • Health Informatics 12
  • Radiology, Nuclear Medicine and Imaging 167
  • Endocrinology, Diabetes and Metabolism 92
  • Pulmonary and Respiratory Medicine 172
  • Hepatology 40
Replace Ghaneh Fananapazir with:
Ghaneh Fananapazir United States
Yun‐Woo Chang South Korea
Richard J. Bruce United States
Salvatore Alessio Angileri Italy
Pyeong Hwa Kim South Korea
Amer Heider United States
Stefania Ferretti Italy
Paolo Del Rio Italy
Sandeep Hedgire United States
Μiltiadis Krokidis United Kingdom
Malak Itani relative to Ghaneh Fananapazir United States Ghaneh Fananapazir's profile →
Citations per field
00.5×
Ghaneh Fananapazir · 1×
Citations per year

Countries citing papers authored by Malak Itani

Since Specialization
Citations

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

Fields of papers citing papers by Malak Itani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201347
3 202047
4 201839
5 201533
6 201229
7 202226
8 201125
9 202025
10 201421
11 201521
12 202021
13 202119
14 202118
15 202417
16 202117
17 201817
18 202216
19 202116
20 201915

About Malak Itani

Malak Itani is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 103 papers that have together received 859 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Pediatric Hepatobiliary Diseases and Treatments (8 papers), Gallbladder and Bile Duct Disorders (8 papers), Medical Imaging Techniques and Applications (8 papers), Neuroblastoma Research and Treatments (7 papers), Adrenal and Paraganglionic Tumors (7 papers) and Pancreatic and Hepatic Oncology Research (7 papers). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Endocrinology, Diabetes and Metabolism (92 citations), Pulmonary and Respiratory Medicine (172 citations) and Hepatology (40 citations). Malak Itani has collaborated with scholars based in United States, Lebanon and Ireland. Frequent co-authors include William D. Middleton, Gary J. Whitman, Manjiri Dighe, Robert F. Mattrey, Richard Assaker, Theodore J. Dubinsky, Neeraj Lalwani, Fatemeh Behnia, Mariam Moshiri and Vincent M. Mellnick. Their work appears in journals such as Abdominal Radiology, Radiographics, Radiologic Clinics of North America, American Journal of Roentgenology and Academic 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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