Saad Ullah Akram

32 total papers · 903 total citations
13 papers, 435 citations indexed

About

Saad Ullah Akram is a scholar working on Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Saad Ullah Akram has authored 13 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Saad Ullah Akram's work include Renal and related cancers (3 papers), Cell Image Analysis Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Saad Ullah Akram is often cited by papers focused on Renal and related cancers (3 papers), Cell Image Analysis Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Saad Ullah Akram collaborates with scholars based in Finland, Sweden and Brazil. Saad Ullah Akram's co-authors include Juho Kannala, Irtiza Hasan, Jinpeng Li, Ling Shao, Shengcai Liao, Janne Heikkilä, Lauri Eklund, Tuula Salo, Ehsanul Hoque Apu and Seppo Vainio and has published in prestigious journals such as Development, International Journal of Radiation Oncology*Biology*Physics and Experimental Cell Research.

In The Last Decade

Saad Ullah Akram

13 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saad Ullah Akram 163 97 90 59 51 13 435
Anna Korzyńska 115 0.7× 65 0.7× 151 1.7× 129 2.2× 32 0.6× 36 413
Deborah Thompson 131 0.8× 83 0.9× 233 2.6× 60 1.0× 42 0.8× 30 466
Weihao Xie 113 0.7× 36 0.4× 93 1.0× 27 0.5× 49 1.0× 24 394
Bo Nordin 115 0.7× 87 0.9× 137 1.5× 66 1.1× 17 0.3× 16 386
Günter Schmidt 115 0.7× 53 0.5× 111 1.2× 30 0.5× 31 0.6× 28 420
Barbara Weyn 75 0.5× 120 1.2× 103 1.1× 40 0.7× 23 0.5× 20 388
Chengyun Zheng 88 0.5× 144 1.5× 38 0.4× 36 0.6× 13 0.3× 17 469
Sofia Liou 43 0.3× 56 0.6× 74 0.8× 52 0.9× 19 0.4× 7 406
Chong Zhang 76 0.5× 135 1.4× 42 0.5× 49 0.8× 32 0.6× 32 459
Yu-Ming Tsao 45 0.3× 40 0.4× 48 0.5× 45 0.8× 52 1.0× 28 437

Countries citing papers authored by Saad Ullah Akram

Since Specialization
Citations

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

Fields of papers citing papers by Saad Ullah Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad Ullah Akram. 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 Saad Ullah Akram. The network helps show where Saad Ullah Akram may publish in the future.

Co-authorship network of co-authors of Saad Ullah Akram

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

All Works

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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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