Maha AT Elsebaie

712 citations
12 papers · 173 indexed · h-index 6
Topics
Venous Thromboembolism Diagnosis and Management (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Sarcoma Diagnosis and Treatment (2 papers)
Journals
Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Maha AT Elsebaie

11 papers receiving 166 citations

Peers

Maha AT Elsebaie
Comparison fields: 5 of 48
  • Internal Medicine 66
  • Hematology 50
  • Cardiology and Cardiovascular Medicine 48
  • Pulmonary and Respiratory Medicine 31
  • Artificial Intelligence 29
Replace A. Kommareddy with:
A. Kommareddy United States
Zhi-Yan Han China
Grazia Casavecchia Italy
Masahiro Hatooka Japan
Sameh Daher Israel
Xi‐Qi Xu China
Bryan M. McCauley United States
Francesco Paciullo Italy
Sean Tan Australia
Drew Baldwin United States
Maha AT Elsebaie relative to A. Kommareddy United States A. Kommareddy's profile →
Citations per field
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A. Kommareddy · 1×
Citations per year

Countries citing papers authored by Maha AT Elsebaie

Since Specialization
Citations

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

Fields of papers citing papers by Maha AT Elsebaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maha AT Elsebaie. 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 Maha AT Elsebaie. The network helps show where Maha AT Elsebaie may publish in the future.

Co-authorship network of co-authors of Maha AT Elsebaie

This figure shows the co-authorship network connecting the top 25 collaborators of Maha AT Elsebaie. A scholar is included among the top collaborators of Maha AT Elsebaie 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 Maha AT Elsebaie. Maha AT Elsebaie 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 0
2 1
3 53
4 1
5 1
6 3
7 4
8 10
9 5
10 72
11 13
12 10

About Maha AT Elsebaie

Maha AT Elsebaie is a scholar working on Internal Medicine, Otorhinolaryngology and Cancer Research, having authored 12 papers that have together received 173 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Internal Medicine (66 citations), Hematology (50 citations) and Cardiology and Cardiovascular Medicine (48 citations). Maha AT Elsebaie has collaborated with scholars based in United States, Egypt and Netherlands. Frequent co-authors include Manila Gaddh, Amelia Langston, Harry R. Büller, Nick van Es, Mohamed Amgad, Zeinab Elsayed, Lee Cooper, David A. Gutman, Jeffrey A. Goldstein and Mia M. Gaudet. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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