Devika P. Bagchi

2.0k total citations · 1 hit paper
26 papers, 1.5k citations indexed

About

Devika P. Bagchi is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Devika P. Bagchi has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Devika P. Bagchi's work include Adipose Tissue and Metabolism (8 papers), Alzheimer's disease research and treatments (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Devika P. Bagchi is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Alzheimer's disease research and treatments (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Devika P. Bagchi collaborates with scholars based in United States, Denmark and China. Devika P. Bagchi's co-authors include Ormond A. MacDougald, Paul T. Kotzbauer, Dulce Papy-García, Mohand Ouidir Ouidja, Mei Li, Najla Kfoury, Timothy M. Miller, Marc I. Diamond, Jayne Marasa and Kiran Yanamandra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Devika P. Bagchi

26 papers receiving 1.5k citations

Hit Papers

Heparan sulfate proteoglycans mediate internalization and... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devika P. Bagchi United States 16 761 512 410 262 214 26 1.5k
Olimpia Musumeci Italy 32 805 1.1× 1.4k 2.7× 331 0.8× 438 1.7× 132 0.6× 110 2.8k
Jing Xiong China 17 216 0.3× 419 0.8× 221 0.5× 168 0.6× 115 0.5× 45 1.1k
Alexandra Szalad United States 20 295 0.4× 750 1.5× 155 0.4× 239 0.9× 311 1.5× 27 1.5k
Houng‐Chi Liou Taiwan 21 217 0.3× 546 1.1× 142 0.3× 160 0.6× 228 1.1× 30 1.2k
Andrew D. Nguyen United States 18 298 0.4× 429 0.8× 233 0.6× 81 0.3× 117 0.5× 42 1.2k
Silvia Belia Italy 18 309 0.4× 757 1.5× 347 0.8× 207 0.8× 65 0.3× 42 1.4k
Andreas Hald Denmark 18 399 0.5× 294 0.6× 232 0.6× 266 1.0× 165 0.8× 23 1.1k
Massimiliano Filosto Italy 30 501 0.7× 1.6k 3.2× 527 1.3× 544 2.1× 230 1.1× 140 2.7k
Miryam Carecchio Italy 24 365 0.5× 499 1.0× 749 1.8× 342 1.3× 324 1.5× 78 1.6k
Koji Osuka Japan 20 222 0.3× 309 0.6× 605 1.5× 268 1.0× 208 1.0× 79 1.5k

Countries citing papers authored by Devika P. Bagchi

Since Specialization
Citations

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

Fields of papers citing papers by Devika P. Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devika P. Bagchi. 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 Devika P. Bagchi. The network helps show where Devika P. Bagchi may publish in the future.

Co-authorship network of co-authors of Devika P. Bagchi

This figure shows the co-authorship network connecting the top 25 collaborators of Devika P. Bagchi. A scholar is included among the top collaborators of Devika P. Bagchi 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 Devika P. Bagchi. Devika P. Bagchi 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.
Kuppa, Annapurna, Yue Chen, Asmita Pant, et al.. (2023). Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity. Journal of Molecular Endocrinology. 70(3). 2 indexed citations
2.
Khazanchi, Rohan, et al.. (2023). 1652. Impact of the 2022-2023 Amoxicillin Shortage on Antibiotic Prescribing for Acute Otitis Media: A Regression Discontinuity Study. Open Forum Infectious Diseases. 10(Supplement_2). 2 indexed citations
3.
Li, Ziru, Devika P. Bagchi, Junxiong Zhu, et al.. (2022). Constitutive bone marrow adipocytes suppress local bone formation. JCI Insight. 7(21). 43 indexed citations
4.
Li, Ziru, Junxiong Zhu, Hui Yu, et al.. (2022). Lipolysis of bone marrow adipocytes is required to fuel bone and the marrow niche during energy deficits. eLife. 11. 66 indexed citations
5.
Bagchi, Devika P. & Ormond A. MacDougald. (2021). Wnt Signaling: From Mesenchymal Cell Fate to Lipogenesis and Other Mature Adipocyte Functions. Diabetes. 70(7). 1419–1430. 39 indexed citations
6.
Bagchi, Devika P., Ziru Li, Jennifer B. DelProposto, et al.. (2020). Wnt/β-catenin signaling regulates adipose tissue lipogenesis and adipocyte-specific loss is rigorously defended by neighboring stromal-vascular cells. Molecular Metabolism. 42. 101078–101078. 70 indexed citations
7.
Bagchi, Devika P., Ziru Li, Callie A.S. Corsa, et al.. (2020). Wntless regulates lipogenic gene expression in adipocytes and protects against diet-induced metabolic dysfunction. Molecular Metabolism. 39. 100992–100992. 24 indexed citations
8.
Argetsinger, Lawrence S., Alan C. Rupp, Alexander H. Bedard, et al.. (2020). Deletion of the Brain-Specific α and δ Isoforms of Adapter Protein SH2B1 Protects Mice From Obesity. Diabetes. 70(2). 400–414. 3 indexed citations
9.
O’Donnell, M.W., Kevin S. Xu, Devika P. Bagchi, et al.. (2019). The transcription factor NKX1-2 promotes adipogenesis and may contribute to a balance between adipocyte and osteoblast differentiation. Journal of Biological Chemistry. 294(48). 18408–18420. 8 indexed citations
10.
Li, Ziru, Julie Hardij, Simon S. Evers, et al.. (2019). G-CSF partially mediates effects of sleeve gastrectomy on the bone marrow niche. Journal of Clinical Investigation. 129(6). 2404–2416. 33 indexed citations
11.
Bagchi, Devika P. & Ormond A. MacDougald. (2019). Identification and Dissection of Diverse Mouse Adipose Depots. Journal of Visualized Experiments. 52 indexed citations
12.
Bagchi, Devika P. & Ormond A. MacDougald. (2019). Identification and Dissection of Diverse Mouse Adipose Depots. Journal of Visualized Experiments. 16 indexed citations
13.
Li, Ziru, Julie Hardij, Devika P. Bagchi, Erica L. Scheller, & Ormond A. MacDougald. (2018). Development, regulation, metabolism and function of bone marrow adipose tissues. Bone. 110. 134–140. 109 indexed citations
14.
Saha, Anjan K., Naresh T. Gunaratnam, Devika P. Bagchi, et al.. (2018). A new model for diabetes-focused capacity building – lessons from Sri Lanka. SHILAP Revista de lepidopterología. 4(1). 22–22. 6 indexed citations
15.
Bagchi, Devika P., Isabel Forss, Susanne Mandrup, & Ormond A. MacDougald. (2018). SnapShot: Niche Determines Adipocyte Character II. Cell Metabolism. 27(1). 266–266.e1. 6 indexed citations
16.
Bagchi, Devika P., Isabel Forss, Susanne Mandrup, & Ormond A. MacDougald. (2018). SnapShot: Niche Determines Adipocyte Character I. Cell Metabolism. 27(1). 264–264.e1. 19 indexed citations
17.
Dhavale, Dhruva D., et al.. (2017). A sensitive assay reveals structural requirements for α-synuclein fibril growth. Journal of Biological Chemistry. 292(22). 9034–9050. 18 indexed citations
18.
Holmes, Brandon B., Sarah L. DeVos, Najla Kfoury, et al.. (2013). Heparan sulfate proteoglycans mediate internalization and propagation of specific proteopathic seeds. Proceedings of the National Academy of Sciences. 110(33). E3138–47. 649 indexed citations breakdown →
19.
20.
Cui, Jinquan, et al.. (2012). Synthesis and in vitro evaluation of α-synuclein ligands. Bioorganic & Medicinal Chemistry. 20(15). 4625–4634. 51 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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