Hemat Allam

611 total citations · 1 hit paper
10 papers, 427 citations indexed

About

Hemat Allam is a scholar working on Complementary and alternative medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Hemat Allam has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Complementary and alternative medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Hemat Allam's work include Acupuncture Treatment Research Studies (4 papers), Cardiovascular Issues in Pregnancy (2 papers) and Myofascial pain diagnosis and treatment (2 papers). Hemat Allam is often cited by papers focused on Acupuncture Treatment Research Studies (4 papers), Cardiovascular Issues in Pregnancy (2 papers) and Myofascial pain diagnosis and treatment (2 papers). Hemat Allam collaborates with scholars based in Egypt, United Kingdom and South Africa. Hemat Allam's co-authors include Nisreen I. R. Yassin, Shaimaa Omran, Enas M. F. El Houby, Ahmed Hassouna, Eman A. Elghoroury, Nagwa Mohamed, Damien Ridge, Samir Abdelrahman, Vikash Sewram and Marie Polley and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, The Journal of Alternative and Complementary Medicine and BMC Women s Health.

In The Last Decade

Hemat Allam

9 papers receiving 412 citations

Hit Papers

Machine learning techniques for breast cancer computer ai... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hemat Allam Egypt 5 215 206 63 54 52 10 427
Ting Cai China 9 104 0.5× 109 0.5× 37 0.6× 59 1.1× 54 1.0× 13 571
Zhuo He China 11 60 0.3× 176 0.9× 100 1.6× 27 0.5× 43 0.8× 32 391
Christopher Bowles United Kingdom 8 56 0.3× 100 0.5× 59 0.9× 121 2.2× 113 2.2× 14 438
Vaanathi Sundaresan United Kingdom 9 56 0.3× 217 1.1× 47 0.7× 115 2.1× 62 1.2× 20 509
Hackjoon Shim South Korea 12 34 0.2× 269 1.3× 28 0.4× 22 0.4× 150 2.9× 50 499
Trygve Eftestøl Norway 14 51 0.2× 164 0.8× 255 4.0× 25 0.5× 43 0.8× 44 562
Florian Dubost Netherlands 11 94 0.4× 130 0.6× 13 0.2× 37 0.7× 48 0.9× 16 419
Ahmet Genç Türkiye 7 38 0.2× 174 0.8× 80 1.3× 37 0.7× 114 2.2× 22 452
Styliani Petroudi Cyprus 11 172 0.8× 211 1.0× 140 2.2× 95 1.8× 158 3.0× 27 538
Shuyan Huang China 8 204 0.9× 215 1.0× 17 0.3× 9 0.2× 13 0.3× 19 427

Countries citing papers authored by Hemat Allam

Since Specialization
Citations

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

Fields of papers citing papers by Hemat Allam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemat Allam

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

All Works

10 of 10 papers shown
1.
Abdelrahman, Samir, et al.. (2025). Factors affecting quality of life in women post mastectomy for breast cancer in Baheya Foundation (Egypt): ‘A retrospective cohort study’. BMC Women s Health. 25(1). 43–43. 1 indexed citations
2.
3.
Mohamed, Nagwa, et al.. (2018). Evaluation of serum beta-endorphin and substance P in knee osteoarthritis patients treated by laser acupuncture. Journal of Complementary and Integrative Medicine. 15(2). 36 indexed citations
4.
Yassin, Nisreen I. R., Shaimaa Omran, Enas M. F. El Houby, & Hemat Allam. (2017). Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review. Computer Methods and Programs in Biomedicine. 156. 25–45. 274 indexed citations breakdown →
6.
Hassouna, Ahmed & Hemat Allam. (2014). Limited dose warfarin throughout pregnancy in patients with mechanical heart valve prosthesis: a meta-analysis. Interactive Cardiovascular and Thoracic Surgery. 18(6). 797–806. 58 indexed citations
7.
Hassouna, Ahmed, et al.. (2014). Limited dose warfarin throughout pregnancy in high-risk patients with mechanical valves: A randomized clinical trial. The Egyptian Heart Journal. 67(2). 115–122. 4 indexed citations
8.
Allam, Hemat, et al.. (2013). The Role of Scalp Acupuncture for Relieving the Chronic Pain of Degenerative Osteoarthritis: A Pilot Study of Egyptian Women. Medical Acupuncture. 25(3). 216–220. 13 indexed citations
9.
Polley, Marie, et al.. (2013). Narratives of Egyptian breast cancer survivors – A cross-cultural study in the context of the published research. European Journal of Integrative Medicine. 5(6). 581–581. 1 indexed citations
10.
Allam, Hemat, et al.. (2008). Scalp Acupuncture Effect on Language Development in Children with Autism: A Pilot Study. The Journal of Alternative and Complementary Medicine. 14(2). 109–114. 38 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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