Saima Saeed

414 total citations
9 papers, 135 citations indexed

About

Saima Saeed is a scholar working on Infectious Diseases, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Saima Saeed has authored 9 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in General Health Professions and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Saima Saeed's work include Tuberculosis Research and Epidemiology (3 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Saima Saeed is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Saima Saeed collaborates with scholars based in Pakistan, United Kingdom and Canada. Saima Saeed's co-authors include Faiz Ahmad Khan, Aamir J. Khan, Gamuchirai Tavaziva, Andrea Benedetti, Ahsana Nazish, Dick Menzies, James C. Johnston, Duncan Wilson, Shakir Hussain and Samreen Sarfaraz and has published in prestigious journals such as Critical Care Medicine, International Journal of Infectious Diseases and Vaccines.

In The Last Decade

Saima Saeed

8 papers receiving 132 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saima Saeed Pakistan	4	87	46	28	21	21	9	135
Aamir J. Khan Pakistan	4	118 1.4×	79 1.7×	35 1.3×	28 1.3×	39 1.9×	6	171
Ahsana Nazish Pakistan	6	93 1.1×	59 1.3×	28 1.0×	27 1.3×	27 1.3×	7	149
Stefano Scafuri Italy	6	156 1.8×	37 0.8×	17 0.6×	8 0.4×	10 0.5×	8	216
Pietro Danna Italy	5	80 0.9×	42 0.9×	23 0.8×	10 0.5×	17 0.8×	7	126
Pierandrea Morandini Italy	5	76 0.9×	44 1.0×	32 1.1×	13 0.6×	26 1.2×	9	121
Elvira Stellato Italy	5	57 0.7×	30 0.7×	18 0.6×	13 0.6×	8 0.4×	11	107
Marcio Aloísio Bezerra Cavalcanti Rockenbach United States	5	30 0.3×	14 0.3×	26 0.9×	8 0.4×	36 1.7×	11	107
Domenico Zagaria Italy	6	55 0.6×	39 0.8×	16 0.6×	5 0.2×	13 0.6×	8	122
Christopher Reeder United States	7	44 0.5×	10 0.2×	23 0.8×	19 0.9×	18 0.9×	20	274
Graham Cole United Kingdom	5	44 0.5×	22 0.5×	8 0.3×	69 3.3×	12 0.6×	12	199

Countries citing papers authored by Saima Saeed

Since Specialization

Citations

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

Fields of papers citing papers by Saima Saeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saima Saeed

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

All Works

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9 of 9 papers shown

Saeed, Saima, et al.. (2024). Pandemic, Event, and the Immanence of Life.

Versluis, Anke, Sergiu Chirilă, Bruce Kirenga, et al.. (2024). The FRESHAIR4Life study: Global implementation research on non-communicable disease prevention targeting adolescents’ exposure to tobacco and air pollution in disadvantaged populations. npj Primary Care Respiratory Medicine. 34(1). 14–14. 2 indexed citations

Saeed, Saima, et al.. (2023). Task-shifting in asthma and chronic obstructive pulmonary disease management: A review of the obstructive lung disease program. Pakistan Journal of Medical Sciences. 40(2(ICON)). S42–S46. 1 indexed citations

Tavaziva, Gamuchirai, Ahsana Nazish, Saima Saeed, et al.. (2023). Artificial intelligence-reported chest X-ray findings of culture-confirmed pulmonary tuberculosis in people with and without diabetes. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 31. 100365–100365. 3 indexed citations

Tavaziva, Gamuchirai, Ahsana Nazish, Saima Saeed, et al.. (2022). Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis. International Journal of Infectious Diseases. 122. 15–20. 21 indexed citations

Hussain, Shakir, et al.. (2022). Neutralizing Antibody Response to BBIBP-CorV in Comparison with COVID-19 Recovered, Unvaccinated Individuals in a Sample of the Pakistani Population. Vaccines. 10(5). 692–692. 6 indexed citations

Boeckmann, Melanie, Omara Dogar, Saima Saeed, et al.. (2021). Measuring fidelity to delivery of a new smoking cessation intervention integrated into routine tuberculosis care in Pakistan and Bangladesh: Contextual differences and opportunities. Tobacco Induced Diseases. 19(April). 1–17. 2 indexed citations

Khan, Faiz Ahmad, Gamuchirai Tavaziva, Ahsana Nazish, et al.. (2020). Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease. The Lancet Digital Health. 2(11). e573–e581. 85 indexed citations

Hill, Neil, Saima Saeed, Rahul Phadke, et al.. (2015). Detailed Characterization of a Long-Term Rodent Model of Critical Illness and Recovery. Critical Care Medicine. 43(3). e84–e96. 15 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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