Deepti Abbey

592 total citations
11 papers, 198 citations indexed

About

Deepti Abbey is a scholar working on Surgery, Molecular Biology and Biochemistry. According to data from OpenAlex, Deepti Abbey has authored 11 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Deepti Abbey's work include Pluripotent Stem Cells Research (4 papers), Pancreatic function and diabetes (3 papers) and CRISPR and Genetic Engineering (2 papers). Deepti Abbey is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Pancreatic function and diabetes (3 papers) and CRISPR and Genetic Engineering (2 papers). Deepti Abbey collaborates with scholars based in United States, India and Netherlands. Deepti Abbey's co-authors include Polani B. Seshagiri, Daniel J. Rader, Christopher D. Brown, Nicholas J. Hand, Donna Conlon, Tobias Raabe, Kim M. Olthoff, Sarah L. McCarron, Abraham Shaked and Katerina A.B. Gawronski and has published in prestigious journals such as Hepatology, The American Journal of Human Genetics and Gene.

In The Last Decade

Deepti Abbey

11 papers receiving 194 citations

Peers

Deepti Abbey

MB

SURGE

HEPAT

EPIDE

ONCOL

Maria Ryaboshapkina Sweden

Haiguang Xin China

Suchira Gallage Germany

Karin Diggle United States

Arfianti Arfianti Indonesia

Yuda Wei China

Yanhao Chen China

Roz Jenkins United Kingdom

Hannah Esser Austria

Emelie Barreby Sweden

Maria Ryaboshapkina Sweden

Deepti Abbey

77 ×0.8

MB

54 ×1.0

SURGE

31 ×0.7

HEPAT

71 ×1.9

EPIDE

9 ×0.3

ONCOL

Citations per year, relative to Deepti Abbey Deepti Abbey (= 1×) peers Maria Ryaboshapkina

Countries citing papers authored by Deepti Abbey

Since Specialization

Citations

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

Fields of papers citing papers by Deepti Abbey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Abbey

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Sharma, Priya & Deepti Abbey. (2025). Alagille Syndrome: Unraveling the Complexities of Genotype–Phenotype Relationships and Exploring Avenues for Improved Diagnosis and Treatment. Cell Biology International. 49(5). 435–471. 2 indexed citations

2.

Abbey, Deepti. (2022). Chemical journey of somatic cells to pluripotency. Cell Regeneration. 11(1). 27–27. 2 indexed citations

3.

McCarron, Sarah L., Donna Conlon, Deepti Abbey, et al.. (2021). Functional Characterization of Organoids Derived From Irreversibly Damaged Liver of Patients With NASH. Hepatology. 74(4). 1825–1844. 63 indexed citations

4.

Abbey, Deepti, Donna Conlon, Susannah Elwyn, et al.. (2021). Lipid droplet screen in human hepatocytes identifies TRRAP as a regulator of cellular triglyceride metabolism. Clinical and Translational Science. 14(4). 1369–1379. 7 indexed citations

5.

Larsen, Lars Emil, et al.. (2020). Hepatocyte-like cells derived from induced pluripotent stem cells: A versatile tool to understand lipid disorders. Atherosclerosis. 303. 8–14. 8 indexed citations

6.

Abbey, Deepti, Susannah Elwyn, Nicholas J. Hand, Kiran Musunuru, & Daniel J. Rader. (2020). Self‐Organizing Human Induced Pluripotent Stem Cell Hepatocyte 3D Organoids Inform the Biology of the Pleiotropic TRIB1 Gene. Hepatology Communications. 4(9). 1316–1331. 7 indexed citations

7.

Abbey, Deepti, Gurbind Singh, Darshan S. Chandrashekar, et al.. (2019). Successful Derivation of an Induced Pluripotent Stem Cell Line from a Genetically Nonpermissive Enhanced Green Fluorescent Protein-Transgenic FVB/N Mouse Strain. Cellular Reprogramming. 21(5). 270–284. 2 indexed citations

8.

Abbey, Deepti & Polani B. Seshagiri. (2017). Ascorbic acid-mediated enhanced cardiomyocyte differentiation of mouse ES-cells involves interplay of DNA methylation and multiple-signals. Differentiation. 96. 1–14. 11 indexed citations

9.

Kim, Hye In, Johannes Raffler, Wenyun Lu, et al.. (2017). Fine Mapping and Functional Analysis Reveal a Role of SLC22A1 in Acylcarnitine Transport. The American Journal of Human Genetics. 101(4). 489–502. 48 indexed citations

10.

Takata, Nozomu, Deepti Abbey, Sandra Acosta, et al.. (2017). An Eye Organoid Approach Identifies Six3 Suppression of R-spondin 2 as a Critical Step in Mouse Neuroretina Differentiation. Cell Reports. 21(6). 1534–1549. 24 indexed citations

11.

Abbey, Deepti & Polani B. Seshagiri. (2013). Aza-induced cardiomyocyte differentiation of P19 EC-cells by epigenetic co-regulation and ERK signaling. Gene. 526(2). 364–373. 24 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.

Explore authors with similar magnitude of impact