Habiba Elfandy

767 total citations
7 papers, 105 citations indexed

About

Habiba Elfandy is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Habiba Elfandy has authored 7 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Habiba Elfandy's work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Genomics and Diagnostics (2 papers). Habiba Elfandy is often cited by papers focused on AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Genomics and Diagnostics (2 papers). Habiba Elfandy collaborates with scholars based in Egypt, United States and Italy. Habiba Elfandy's co-authors include Ammar Mohammed, Massimo Loda, Kathryn L. Penney, Konrad H. Stopsack, Svitlana Tyekucheva, Lorelei A. Mucci, Joshua Armenia, Mirjam Blattner, Kartik Viswanathan and Nelma Pértega‐Gomes and has published in prestigious journals such as Bioinformatics, Cancer Research and Clinical Cancer Research.

In The Last Decade

Habiba Elfandy

7 papers receiving 101 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Habiba Elfandy Egypt 5 44 30 23 22 21 7 105
Cristina Eunbee Cho South Korea 4 83 1.9× 46 1.5× 50 2.2× 73 3.3× 47 2.2× 4 249
Dirk Pehrke Germany 7 73 1.7× 35 1.2× 22 1.0× 49 2.2× 30 1.4× 9 178
Huei–Chung Huang United States 7 48 1.1× 15 0.5× 13 0.6× 50 2.3× 39 1.9× 25 127
Jack Zeineh United States 5 30 0.7× 50 1.7× 33 1.4× 14 0.6× 20 1.0× 14 103
Muhammad Aminu United States 6 28 0.6× 23 0.8× 30 1.3× 18 0.8× 25 1.2× 17 133
Keluo Yao United States 8 22 0.5× 83 2.8× 52 2.3× 9 0.4× 12 0.6× 14 135
Hiroyuki Ogihara Japan 8 33 0.8× 16 0.5× 32 1.4× 43 2.0× 36 1.7× 24 211
David L. Hölscher Germany 6 32 0.7× 51 1.7× 65 2.8× 36 1.6× 10 0.5× 11 154
David Manthey United States 6 19 0.4× 86 2.9× 44 1.9× 41 1.9× 17 0.8× 11 153
Yunfang Yu China 5 10 0.2× 16 0.5× 20 0.9× 46 2.1× 16 0.8× 11 150

Countries citing papers authored by Habiba Elfandy

Since Specialization
Citations

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

Fields of papers citing papers by Habiba Elfandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habiba Elfandy

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

All Works

7 of 7 papers shown
1.
2.
Mohammed, Ammar, et al.. (2023). Artificial Intelligence Role in Subclassifying Cytology of Thyroid Follicular Neoplasm. Asian Pacific Journal of Cancer Prevention. 24(4). 1379–1387. 30 indexed citations
3.
Elgendy, Ahmed, et al.. (2021). Operative management and outcomes in children with pheochromocytoma. Asian Journal of Surgery. 45(1). 419–424. 2 indexed citations
4.
Amgad, Mohamed, Hagar Hussein, Kareem Hosny Mohammed, et al.. (2021). Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinformatics. 38(2). 513–519. 10 indexed citations
5.
Stopsack, Konrad H., Ying Huang, Svitlana Tyekucheva, et al.. (2020). Multiplex Immunofluorescence in Formalin-Fixed Paraffin-Embedded Tumor Tissue to Identify Single-Cell–Level PI3K Pathway Activation. Clinical Cancer Research. 26(22). 5903–5913. 7 indexed citations
6.
Lee, Sanghoon, Mohamed Amgad, Pooya Mobadersany, et al.. (2020). Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Research. 81(4). 1171–1177. 14 indexed citations
7.
Elfandy, Habiba, Joshua Armenia, Filippo Pederzoli, et al.. (2018). Genetic and Epigenetic Determinants of Aggressiveness in Cribriform Carcinoma of the Prostate. Molecular Cancer Research. 17(2). 446–456. 41 indexed citations

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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