Neerja Karnani

10.8k total citations
73 papers, 2.0k citations indexed

About

Neerja Karnani is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Neerja Karnani has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Pediatrics, Perinatology and Child Health and 14 papers in Epidemiology. Recurrent topics in Neerja Karnani's work include Birth, Development, and Health (22 papers), Epigenetics and DNA Methylation (14 papers) and Gestational Diabetes Research and Management (11 papers). Neerja Karnani is often cited by papers focused on Birth, Development, and Health (22 papers), Epigenetics and DNA Methylation (14 papers) and Gestational Diabetes Research and Management (11 papers). Neerja Karnani collaborates with scholars based in Singapore, United States and United Kingdom. Neerja Karnani's co-authors include Anindya Dutta, Sudhakar Jha, Christopher M. Taylor, Ankit Malhotra, Yap Seng Chong, Etsuko Shibata, Jong-Hoon Park, Tarek Abbas, Peter D. Gluckman and Michael J. Meaney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Neerja Karnani

69 papers receiving 2.0k citations

Peers

Neerja Karnani
Kelly Green United States
Luis G. Guijarro Spain
Richárd Kellermayer United States
Ruby C.Y. Lin Australia
David Tucker United Kingdom
Iván Delgado‐Enciso Mexico
Kelvin Y.K. Chan Hong Kong
Zhimei Liu United States
Martha A. Hanes United States
Lori Showalter United States
Kelly Green United States
Neerja Karnani
Citations per year, relative to Neerja Karnani Neerja Karnani (= 1×) peers Kelly Green

Countries citing papers authored by Neerja Karnani

Since Specialization
Citations

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

Fields of papers citing papers by Neerja Karnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neerja Karnani

This figure shows the co-authorship network connecting the top 25 collaborators of Neerja Karnani. A scholar is included among the top collaborators of Neerja Karnani 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 Neerja Karnani. Neerja Karnani 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.
Labus, Jennifer S., Jia Xu, Neerja Karnani, et al.. (2025). Childhood gut microbiome is linked to internalizing symptoms at school age via the functional connectome. Nature Communications. 16(1). 9359–9359.
2.
Enders, Craig K., Neerja Karnani, Birit F. P. Broekman, et al.. (2023). Multigenerational adversity impacts on human gut microbiome composition and socioemotional functioning in early childhood. Proceedings of the National Academy of Sciences. 120(30). e2213768120–e2213768120. 28 indexed citations
3.
Stephenson, Mary C., Eugenia Migliavacca, Neerja Karnani, et al.. (2023). Evidence for inefficient contraction and abnormal mitochondrial activity in sarcopenia using magnetic resonance spectroscopy. Journal of Cachexia Sarcopenia and Muscle. 14(3). 1482–1494. 10 indexed citations
4.
Leow, Melvin Khee‐Shing, Kothandaraman Narasimhan, Sanjay Kumar Verma, et al.. (2022). Activated brown adipose tissue releases exosomes containing mitochondrial methylene tetrahydrofolate dehydrogenase (NADP dependent) 1-like protein (MTHFD1L). Bioscience Reports. 42(5). 7 indexed citations
5.
Pan, Hong, Pei Fang Tan, Ives Lim, et al.. (2022). Integrative multi-omics database (iMOMdb) of Asian pregnant women. Human Molecular Genetics. 31(18). 3051–3067. 2 indexed citations
6.
Tint, Mya Thway, Rosana Aguilera, Borame Sue Lee Dickens, et al.. (2022). The socioeconomic landscape of the exposome during pregnancy. Environment International. 163. 107205–107205. 9 indexed citations
7.
Tan, Karen, See Ling Loy, Kok Hian Tan, et al.. (2022). Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus. International Journal of Environmental Research and Public Health. 19(11). 6792–6792. 14 indexed citations
8.
9.
Huang, Jonathan, Shirong Cai, Zhongwei Huang, et al.. (2021). Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach. Nature Communications. 12(1). 5613–5613. 12 indexed citations
10.
Huang, Jonathan, Navin Michael, Suresh Anand Sadananthan, et al.. (2021). Cardiometabolic Profile of Different Body Composition Phenotypes in Children. The Journal of Clinical Endocrinology & Metabolism. 106(5). e2015–e2024. 10 indexed citations
11.
Lim, Ives, Xinyi Lin, Ai Ling Teh, et al.. (2021). Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. The Journal of Clinical Endocrinology & Metabolism. 107(3). e1277–e1292. 4 indexed citations
12.
Wong, Gerard, Jacquelyn M. Weir, Kevin Huynh, et al.. (2021). The placental lipidome of maternal antenatal depression predicts socio-emotional problems in the offspring. Translational Psychiatry. 11(1). 107–107. 12 indexed citations
13.
Tan, Karen, Mya Thway Tint, Navin Michael, et al.. (2021). Determinants of cord blood adipokines and association with neonatal abdominal adipose tissue distribution. International Journal of Obesity. 46(3). 637–645. 11 indexed citations
14.
McGill, Megan, Irina Pokhvisneva, Lisa M. McEwen, et al.. (2021). Maternal Prenatal Anxiety and the Fetal Origins of Epigenetic Aging. Biological Psychiatry. 91(3). 303–312. 40 indexed citations
15.
French, Jonathan, Michael J. Meaney, Peter D. Gluckman, et al.. (2020). Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms. PLoS ONE. 15(12). e0242684–e0242684. 9 indexed citations
16.
Seow, Wei Jie, Cheryl Ngo, Hong Pan, et al.. (2019). In-utero epigenetic factors are associated with early-onset myopia in young children. PLoS ONE. 14(5). e0214791–e0214791. 18 indexed citations
17.
Liang, Chung-Ling, Po‐Yuan Hsu, Cheryl Ngo, et al.. (2019). HOXA9 is a novel myopia risk gene. BMC Ophthalmology. 19(1). 28–28. 7 indexed citations
18.
Rashid, Masturah Bte Mohd Abdul, Tan Boon Toh, Lissa Hooi, et al.. (2018). Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP). Science Translational Medicine. 10(453). 84 indexed citations
19.
Kim, Sun-Yee, Choon Kiat Sim, Qiongyi Zhang, et al.. (2016). An Alternative Strategy for Pan-acetyl-lysine Antibody Generation. PLoS ONE. 11(9). e0162528–e0162528. 9 indexed citations
20.
Varma, Archana, et al.. (2000). Molecular cloning and functional characterisation of a glucose transporter,CaHGT1, ofCandida albicans. FEMS Microbiology Letters. 182(1). 15–21. 27 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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