Som Dev

1.2k total citations · 1 hit paper
20 papers, 904 citations indexed

About

Som Dev is a scholar working on Nutrition and Dietetics, Hematology and Genetics. According to data from OpenAlex, Som Dev has authored 20 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nutrition and Dietetics, 10 papers in Hematology and 6 papers in Genetics. Recurrent topics in Som Dev's work include Trace Elements in Health (14 papers), Iron Metabolism and Disorders (10 papers) and Hemoglobinopathies and Related Disorders (6 papers). Som Dev is often cited by papers focused on Trace Elements in Health (14 papers), Iron Metabolism and Disorders (10 papers) and Hemoglobinopathies and Related Disorders (6 papers). Som Dev collaborates with scholars based in United States, India and Estonia. Som Dev's co-authors include Jodie L. Babitt, Svetlana Lutsenko, Chinmay K. Mukhopadhyay, Neena Singh, Chia‐Yu Wang, Ajai K. Tripathi, Srinivas Suda, Deepak Sharma, Charumathi Anbalagan and Swati Haldar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Hepatology.

In The Last Decade

Som Dev

19 papers receiving 893 citations

Hit Papers

Overview of iron metabolism in health and disease 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Som Dev United States 12 365 314 243 179 120 20 904
Supak Jenkitkasemwong United States 10 607 1.7× 471 1.5× 278 1.1× 251 1.4× 115 1.0× 14 1.1k
Mingwei Qian United States 18 283 0.8× 217 0.7× 490 2.0× 166 0.9× 84 0.7× 21 1.2k
Anita C. G. Chua Australia 19 593 1.6× 613 2.0× 215 0.9× 327 1.8× 59 0.5× 31 1.2k
Wenli Guo China 18 149 0.4× 208 0.7× 321 1.3× 109 0.6× 117 1.0× 49 953
Xuyan He China 12 247 0.7× 83 0.3× 166 0.7× 71 0.4× 149 1.2× 15 809
Jerome L. Sullivan United States 15 241 0.7× 455 1.4× 129 0.5× 272 1.5× 146 1.2× 28 937
A. Pinson Israel 19 264 0.7× 352 1.1× 536 2.2× 317 1.8× 85 0.7× 40 1.4k
Martijn F. Hoes Netherlands 15 141 0.4× 242 0.8× 190 0.8× 92 0.5× 60 0.5× 23 817
Hsiang‐Chun Chang United States 16 138 0.4× 236 0.8× 509 2.1× 143 0.8× 156 1.3× 26 964
Richard C. Jin United States 12 175 0.5× 87 0.3× 425 1.7× 82 0.5× 195 1.6× 14 1.1k

Countries citing papers authored by Som Dev

Since Specialization
Citations

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

Fields of papers citing papers by Som Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Som Dev

This figure shows the co-authorship network connecting the top 25 collaborators of Som Dev. A scholar is included among the top collaborators of Som Dev 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 Som Dev. Som Dev 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.
Dev, Som, et al.. (2025). Dopamine degrades ferritin by chaperone-mediated autophagy to elevate mitochondrial iron level in astroglial cells. Free Radical Biology and Medicine. 229. 39–57. 1 indexed citations
2.
Dev, Som, Yixuan Dong, & James P. Hamilton. (2025). Hepatic microtubule destabilization facilitates liver fibrosis in the mouse model of Wilson disease. Journal of Molecular Medicine. 103(5). 531–545.
3.
Dong, Yixuan, Julia Smirnova, Joshua W. Smith, et al.. (2023). α-lipoic acid ameliorates consequences of copper overload by up-regulating selenoproteins and decreasing redox misbalance. Proceedings of the National Academy of Sciences. 120(40). e2305961120–e2305961120. 23 indexed citations
4.
Dev, Som, Abigael Muchenditsi, Pragney Deme, et al.. (2022). Oxysterol misbalance critically contributes to Wilson disease pathogenesis. Science Advances. 8(42). eadc9022–eadc9022. 10 indexed citations
5.
Dev, Som, Robert L. Kruse, James P. Hamilton, & Svetlana Lutsenko. (2022). Wilson Disease: Update on Pathophysiology and Treatment. Frontiers in Cell and Developmental Biology. 10. 871877–871877. 33 indexed citations
6.
Xiao, Xia, Yang Xu, Allison L. Fisher, et al.. (2022). Regulation of iron homeostasis by hepatocyte TfR1 requires HFE and contributes to hepcidin suppression in β-thalassemia. Blood. 141(4). 422–432. 24 indexed citations
7.
Muchenditsi, Abigael, C. Conover Talbot, Haojun Yang, et al.. (2021). Systemic deletion of Atp7b modifies the hepatocytes’ response to copper overload in the mouse models of Wilson disease. Scientific Reports. 11(1). 5659–5659. 26 indexed citations
8.
Dev, Som, Lauren DeVine, Kathleen L. Gabrielson, et al.. (2021). Hepatic Steatosis in the Mouse Model of Wilson Disease Coincides with a Muted Inflammatory Response. American Journal Of Pathology. 192(1). 146–159. 10 indexed citations
9.
DeVine, Lauren, et al.. (2021). Steatosis development in the mouse model of Wilson disease coincides with a muted inflammatory response. Zeitschrift für Gastroenterologie. 1 indexed citations
10.
11.
Yang, Haojun, Risa M. Wolf, Martina Ralle, et al.. (2019). Obesity is associated with copper elevation in serum and tissues. Metallomics. 11(8). 1363–1371. 87 indexed citations
12.
Wang, Chia‐Yu, Xia Xiao, Abraham Bayer, et al.. (2019). Ablation of Hepatocyte Smad1, Smad5, and Smad8 Causes Severe Tissue Iron Loading and Liver Fibrosis in Mice. Hepatology. 70(6). 1986–2002. 34 indexed citations
13.
Wang, Chia‐Yu, et al.. (2018). Iron, erythropoietin, and inflammation regulate hepcidin in Bmp2‐deficient mice, but serum iron fails to induce hepcidin in Bmp6‐deficient mice. American Journal of Hematology. 94(2). 240–248. 28 indexed citations
14.
Dev, Som & Jodie L. Babitt. (2017). Overview of iron metabolism in health and disease. Hemodialysis International. 21(S1). S6–S20. 346 indexed citations breakdown →
15.
Dev, Som, et al.. (2015). Role of extracellular Hydrogen peroxide in regulation of iron homeostasis genes in neuronal cells: Implication in iron accumulation. Free Radical Biology and Medicine. 86. 78–89. 41 indexed citations
16.
Singh, Neena, Swati Haldar, Ajai K. Tripathi, et al.. (2013). Brain Iron Homeostasis: From Molecular Mechanisms To Clinical Significance and Therapeutic Opportunities. Antioxidants and Redox Signaling. 20(8). 1324–1363. 162 indexed citations
17.
Thakur, Shilpa, Som Dev, Nissar Ahmad Wani, & Jyotdeep Kaur. (2013). Reduced expression of folate transporters in kidney of a rat model of folate oversupplementation. Genes & Nutrition. 9(1). 369–369. 11 indexed citations
18.
Mukhopadhyay, Chinmay K., Som Dev, Nisha Tapryal, Reshmi Mukherjee, & Chaitali Mukhopadhyay. (2011). ROLE OF REDOX AND CERULOPLASMIN IN IRON DEPOSITION IN GLIAL CELLS: IMPLICATION IN NEURODEGENERATIVE DAMAGES. 2(6). 1–8. 3 indexed citations
19.
Dev, Som, et al.. (2010). Regulatory mechanisms of intestinal folate uptake in a rat model of folate oversupplementation. British Journal Of Nutrition. 105(6). 827–835. 25 indexed citations
20.
Dev, Som, et al.. (1971). On the Occurrence of Tropidia curculigoides Lindl. at Golatappar, Dehra Dun. Indian Forester. 97(12). 699–700. 1 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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