Noyan Hossain Molla

763 total citations
8 papers, 544 citations indexed

About

Noyan Hossain Molla is a scholar working on Nephrology, Epidemiology and Molecular Biology. According to data from OpenAlex, Noyan Hossain Molla has authored 8 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Noyan Hossain Molla's work include Gout, Hyperuricemia, Uric Acid (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Noyan Hossain Molla is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Noyan Hossain Molla collaborates with scholars based in Bangladesh and Germany. Noyan Hossain Molla's co-authors include Nurshad Ali, Rahanuma Raihanu Kathak, Abu Hasan Sumon, Shiful Islam, Md Tangigul Haque, Farjana Islam, Nayan Chandra Mohanto, Sadaqur Rahman, Shamim Ahmed and Rakib Miah and has published in prestigious journals such as PLoS ONE, Scientific Reports and Toxins.

In The Last Decade

Noyan Hossain Molla

8 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noyan Hossain Molla Bangladesh 8 290 184 160 115 103 8 544
Rahanuma Raihanu Kathak Bangladesh 10 248 0.9× 184 1.0× 139 0.9× 103 0.9× 116 1.1× 11 549
Abu Hasan Sumon Bangladesh 9 249 0.9× 188 1.0× 144 0.9× 104 0.9× 122 1.2× 9 543
Sadaqur Rahman Bangladesh 6 275 0.9× 165 0.9× 145 0.9× 104 0.9× 83 0.8× 8 449
Shakil Mahmood Bangladesh 8 206 0.7× 106 0.6× 118 0.7× 79 0.7× 50 0.5× 11 361
Mahmudul Hasan Bangladesh 7 111 0.4× 119 0.6× 73 0.5× 61 0.5× 90 0.9× 7 325
Rakib Miah Bangladesh 7 111 0.4× 119 0.6× 73 0.5× 61 0.5× 90 0.9× 7 325
Yuwei He China 11 276 1.0× 59 0.3× 72 0.5× 165 1.4× 37 0.4× 35 458
Shuping Que China 8 65 0.2× 251 1.4× 75 0.5× 66 0.6× 83 0.8× 21 471
Tomás Nepomuceno‐Mejía Mexico 10 518 1.8× 331 1.8× 302 1.9× 190 1.7× 309 3.0× 18 1.0k
Gen-Yun Xu China 10 80 0.3× 223 1.2× 126 0.8× 74 0.6× 100 1.0× 14 411

Countries citing papers authored by Noyan Hossain Molla

Since Specialization
Citations

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

Fields of papers citing papers by Noyan Hossain Molla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noyan Hossain Molla. 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 Noyan Hossain Molla. The network helps show where Noyan Hossain Molla may publish in the future.

Co-authorship network of co-authors of Noyan Hossain Molla

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

All Works

8 of 8 papers shown
1.
Kathak, Rahanuma Raihanu, Abu Hasan Sumon, Noyan Hossain Molla, et al.. (2022). The association between elevated lipid profile and liver enzymes: a study on Bangladeshi adults. Scientific Reports. 12(1). 1711–1711. 67 indexed citations
2.
Molla, Noyan Hossain, Rahanuma Raihanu Kathak, Abu Hasan Sumon, et al.. (2021). Assessment of the relationship between serum uric acid levels and liver enzymes activity in Bangladeshi adults. Scientific Reports. 11(1). 20114–20114. 41 indexed citations
3.
Ali, Nurshad, Abu Hasan Sumon, Rahanuma Raihanu Kathak, et al.. (2021). Assessment of the relationship of serum liver enzymes activity with general and abdominal obesity in an urban Bangladeshi population. Scientific Reports. 11(1). 6640–6640. 45 indexed citations
4.
Sumon, Abu Hasan, Farjana Islam, Nayan Chandra Mohanto, et al.. (2021). The Presence of Aflatoxin M1 in Milk and Milk Products in Bangladesh. Toxins. 13(7). 440–440. 37 indexed citations
5.
Islam, Farjana, Rahanuma Raihanu Kathak, Abu Hasan Sumon, & Noyan Hossain Molla. (2020). Prevalence and associated risk factors of general and abdominal obesity in rural and urban women in Bangladesh. PLoS ONE. 15(5). e0233754–e0233754. 18 indexed citations
6.
Ali, Nurshad, Sadaqur Rahman, Shiful Islam, et al.. (2019). The relationship between serum uric acid and lipid profile in Bangladeshi adults. BMC Cardiovascular Disorders. 19(1). 42–42. 100 indexed citations
7.
Haque, Md Tangigul, et al.. (2019). Assessment of the relationship between serum uric acid and glucose levels in healthy, prediabetic and diabetic individuals. Diabetology & Metabolic Syndrome. 11(1). 49–49. 75 indexed citations
8.
Ali, Nurshad, Rasheda Perveen, Shahnaz Rahman, et al.. (2018). Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: A study on Bangladeshi adults. PLoS ONE. 13(11). e0206850–e0206850. 161 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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