Mohammad L. Rahman

1.4k total citations
61 papers, 855 citations indexed

About

Mohammad L. Rahman is a scholar working on Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis and Obstetrics and Gynecology. According to data from OpenAlex, Mohammad L. Rahman has authored 61 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pediatrics, Perinatology and Child Health, 23 papers in Health, Toxicology and Mutagenesis and 19 papers in Obstetrics and Gynecology. Recurrent topics in Mohammad L. Rahman's work include Birth, Development, and Health (22 papers), Gestational Diabetes Research and Management (15 papers) and Heavy Metal Exposure and Toxicity (14 papers). Mohammad L. Rahman is often cited by papers focused on Birth, Development, and Health (22 papers), Gestational Diabetes Research and Management (15 papers) and Heavy Metal Exposure and Toxicity (14 papers). Mohammad L. Rahman collaborates with scholars based in United States, China and Singapore. Mohammad L. Rahman's co-authors include Cuilin Zhang, Fasil Tekola‐Ayele, Kurunthachalam Kannan, Germaine M. Buck Louis, David C. Christiani, Marie‐France Hivert, Michael Y. Tsai, Stefanie N. Hinkle, Emily Oken and Pi‐I D. Lin and has published in prestigious journals such as Environmental Science & Technology, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mohammad L. Rahman

59 papers receiving 850 citations

Peers

Mohammad L. Rahman
Jillian Ashley‐Martin Canada
Zaira Rosario Puerto Rico
Chao Xiong China
Paige A. Bommarito United States
Caitlin G. Howe United States
Melissa M. Smarr United States
Jessica E. Laine Switzerland
Ivan Pantic Mexico
Minmin Jiang China
M. Keller United States
Jillian Ashley‐Martin Canada
Mohammad L. Rahman
Citations per year, relative to Mohammad L. Rahman Mohammad L. Rahman (= 1×) peers Jillian Ashley‐Martin

Countries citing papers authored by Mohammad L. Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad L. Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad L. Rahman

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

All Works

20 of 20 papers shown
1.
Lin, Pi‐I D., Christine Austin, Sheryl L. Rifas‐Shiman, et al.. (2025). Dentin Metal and Trace Elements in Deciduous Teeth: Findings from Project Viva. Environmental Science & Technology. 59(29). 15027–15036.
2.
Blechter, Batel, Aubrey K. Hubbard, Mitchell J. Machiela, et al.. (2024). Phenotypic and genetically predicted leucocyte telomere length and lung cancer risk in the prospective UK Biobank. Thorax. 79(3). 274–278. 4 indexed citations
3.
Young, Anna S., C E Mullins, Roel Vermeulen, et al.. (2024). The need for a cancer exposome atlas: a scoping review. JNCI Cancer Spectrum. 9(1). 3 indexed citations
4.
Chen, Liwei, Jin Dai, Guoqi Yu, et al.. (2024). Metabolomic Biomarkers of Dietary Approaches to Stop Hypertension (DASH) Dietary Patterns in Pregnant Women. Nutrients. 16(4). 492–492. 1 indexed citations
5.
Salam, Mohammad Abdus, et al.. (2024). Dietary chitosan positively influences the immunity and reproductive performances of mature silver barb (Barbonymus gonionotus). Aquaculture Reports. 36. 102155–102155. 4 indexed citations
6.
Yu, Guoqi, Ruijin Lu, Jiaxi Yang, et al.. (2024). Healthy dietary patterns are associated with exposure to environmental chemicals in a pregnancy cohort. Nature Food. 5(7). 563–568. 10 indexed citations
7.
Rahman, Mohammad L., Bryan A. Bassig, Hasmik Grigoryan, et al.. (2023). A nested case‐control study of untargeted albumin adductomics and acute myeloid leukemia. International Journal of Cancer. 153(3). 539–546. 3 indexed citations
8.
Li, Ling‐Jun, Ximeng Wang, Yap Seng Chong, et al.. (2023). Exploring preconception signatures of metabolites in mothers with gestational diabetes mellitus using a non-targeted approach. BMC Medicine. 21(1). 99–99. 7 indexed citations
9.
Wong, Jason Y.Y., Xiao‐Ou Shu, Wei Hu, et al.. (2023). Associations between Longer Leukocyte Telomere Length and Increased Lung Cancer Risk among Never Smokers in Urban China. Cancer Epidemiology Biomarkers & Prevention. 32(12). 1734–1737. 2 indexed citations
10.
Chen, Liwei, Jin Dai, Zhe Fei, et al.. (2023). Metabolomic biomarkers of the mediterranean diet in pregnant individuals: A prospective study. Clinical Nutrition. 42(3). 384–393. 3 indexed citations
11.
Song, Yiqing, Ruijin Lu, Guoqi Yu, et al.. (2023). Longitudinal lipidomic profiles during pregnancy and associations with neonatal anthropometry: findings from a multiracial cohort. EBioMedicine. 98. 104881–104881. 7 indexed citations
12.
Blechter, Batel, Jason Y.Y. Wong, Wei Hu, et al.. (2023). Exposure to smoky coal combustion emissions and leukocyte Alu retroelement copy number. Carcinogenesis. 44(5). 404–410. 2 indexed citations
13.
Liu, Xinyue, Liwei Chen, Zhe Fei, et al.. (2022). Physical activity and individual plasma phospholipid SFAs in pregnancy: a longitudinal study in a multiracial/multiethnic cohort in the United States. American Journal of Clinical Nutrition. 116(6). 1729–1737. 1 indexed citations
14.
Lin, Pi‐I D., Andrés Cárdenas, Sheryl L. Rifas‐Shiman, et al.. (2021). Diet and erythrocyte metal concentrations in early pregnancy—cross-sectional analysis in Project Viva. American Journal of Clinical Nutrition. 114(2). 540–549. 28 indexed citations
15.
Rothman, Nathaniel, Roel Vermeulen, Luoping Zhang, et al.. (2021). Metabolome-wide association study of occupational exposure to benzene. Carcinogenesis. 42(11). 1326–1336. 28 indexed citations
16.
Song, Yiqing, Chen Lyu, Ming Li, et al.. (2021). Plasma Acylcarnitines during Pregnancy and Neonatal Anthropometry: A Longitudinal Study in a Multiracial Cohort. Metabolites. 11(12). 885–885. 6 indexed citations
17.
Workalemahu, Tsegaselassie, Mohammad L. Rahman, Marion Ouidir, et al.. (2021). Associations of maternal blood pressure-raising polygenic risk scores with fetal weight. Journal of Human Hypertension. 36(1). 69–76. 4 indexed citations
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20.
Hinkle, Stefanie N., Shristi Rawal, Anne Ahrendt Bjerregaard, et al.. (2019). A prospective study of artificially sweetened beverage intake and cardiometabolic health among women at high risk. American Journal of Clinical Nutrition. 110(1). 221–232. 21 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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