Bayzid Rahman

517 total citations
8 papers, 396 citations indexed

About

Bayzid Rahman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bayzid Rahman has authored 8 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bayzid Rahman's work include Influenza Virus Research Studies (2 papers), Acute Myocardial Infarction Research (2 papers) and Viral Infections and Immunology Research (1 paper). Bayzid Rahman is often cited by papers focused on Influenza Virus Research Studies (2 papers), Acute Myocardial Infarction Research (2 papers) and Viral Infections and Immunology Research (1 paper). Bayzid Rahman collaborates with scholars based in Australia, Bangladesh and Ukraine. Bayzid Rahman's co-authors include C. Raina MacIntyre, Anita Heywood, Anthony T. Newall, Michelle Barnes, Abela Mahimbo, Quanyi Wang, Zhanhai Gao, Holly Seale, Yi Zhang and Dominic E. Dwyer and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Heart and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Bayzid Rahman

7 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bayzid Rahman Australia	4	156	154	98	94	72	8	396
Nerea Fernández de Larrea Spain	12	49 0.3×	115 0.7×	132 1.3×	97 1.0×	39 0.5×	22	434
Tiehe Qin China	12	68 0.4×	104 0.7×	58 0.6×	124 1.3×	22 0.3×	31	401
Lajos Szakó Hungary	11	85 0.5×	81 0.5×	136 1.4×	188 2.0×	15 0.2×	25	489
Vito Cianci Italy	12	63 0.4×	30 0.2×	82 0.8×	198 2.1×	36 0.5×	33	426
Najwa Ouhoummane Canada	9	282 1.8×	62 0.4×	67 0.7×	99 1.1×	33 0.5×	15	412
Farheen Malik Pakistan	9	39 0.3×	68 0.4×	58 0.6×	135 1.4×	13 0.2×	32	360
Verónica Sanguine Argentina	4	84 0.5×	44 0.3×	126 1.3×	288 3.1×	14 0.2×	5	433
Noémi Zádori Hungary	8	61 0.4×	33 0.2×	103 1.1×	187 2.0×	24 0.3×	14	370
Christoph Andreas Fux Switzerland	8	84 0.5×	120 0.8×	77 0.8×	120 1.3×	3 0.0×	10	339
Jiafeng Zheng China	8	99 0.6×	97 0.6×	42 0.4×	333 3.5×	9 0.1×	11	563

Countries citing papers authored by Bayzid Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Bayzid Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bayzid Rahman

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

All Works

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8 of 8 papers shown

1.

Rahman, Bayzid, et al.. (2025). Determinants of Mental Health Status in Indonesian Pre-elderly and Elderly with Comorbidities during COVID-19. 14(1). 81–89.

2.

Imran, Ali, et al.. (2025). PREVALENCE OF LOWER CROSS SYNDROME AND ITS ASSOCIATION WITH BMI AMONG NURSES: A CROSS-SECTIONAL STUDY. 3(3 (Health & Rehabilitation)). 346–352. 1 indexed citations

3.

Aleem, Mohammad Abdul, Abrar Ahmad Chughtai, Bayzid Rahman, et al.. (2024). Prevalence of influenza and other acute respiratory illnesses in patients with acute myocardial infarction in Bangladesh: A cross‐sectional study. Health Science Reports. 7(7). e2234–e2234. 2 indexed citations

4.

Kricker, Anne, Marianne Weber, Nicole Brenner, et al.. (2019). High Ambient Solar UV Correlates with Greater Beta HPV Seropositivity in New South Wales, Australia. Cancer Epidemiology Biomarkers & Prevention. 29(1). 49–56. 4 indexed citations

5.

Osborne, Nicholas J., Harleen Kaur, Fahim Mohamed, et al.. (2019). Relationship between access to piped water and CKDu: a conditional autoregressive model. Environmental Epidemiology. 3(Supplement 1). 297–297. 1 indexed citations

6.

Fatema, Kaniz, et al.. (2016). Cardiovascular risk assessment among rural population: findings from a cohort study in a peripheral region of Bangladesh. Public Health. 137. 73–80. 7 indexed citations

7.

Barnes, Michelle, Anita Heywood, Abela Mahimbo, et al.. (2015). Acute myocardial infarction and influenza: a meta-analysis of case–control studies. Heart. 101(21). 1738–1747. 232 indexed citations

8.

MacIntyre, C. Raina, Quanyi Wang, Holly Seale, et al.. (2013). A Randomized Clinical Trial of Three Options for N95 Respirators and Medical Masks in Health Workers. American Journal of Respiratory and Critical Care Medicine. 187(9). 960–966. 149 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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