Vivek Singh

1.0k total citations
16 papers, 359 citations indexed

About

Vivek Singh is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vivek Singh has authored 16 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Vivek Singh's work include Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and CRISPR and Genetic Engineering (4 papers). Vivek Singh is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and CRISPR and Genetic Engineering (4 papers). Vivek Singh collaborates with scholars based in United States, India and Australia. Vivek Singh's co-authors include Rajesh Kumar, Kenneth M. Baker, Jianchang Yang, Deepthi Sanagasetti, Todd K. Rosengart, Megumi Mathison, Lina Yang, Ronald G. Crystal, Marı́a J. Chiuchiolo and Stephen M. Kaminsky and has published in prestigious journals such as Nature Communications, Circulation Research and Scientific Reports.

In The Last Decade

Vivek Singh

15 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vivek Singh United States	8	223	134	80	41	33	16	359
Shouji Matsushima Japan	4	171 0.8×	210 1.6×	60 0.8×	15 0.4×	50 1.5×	7	329
C. Bombardi Italy	8	219 1.0×	126 0.9×	44 0.6×	45 1.1×	19 0.6×	8	380
Mélanie Hoch Germany	7	150 0.7×	212 1.6×	70 0.9×	16 0.4×	82 2.5×	7	385
Yurie Soejima Japan	12	125 0.6×	72 0.5×	82 1.0×	22 0.5×	62 1.9×	33	355
Claudia Noack Germany	12	395 1.8×	203 1.5×	123 1.5×	11 0.3×	39 1.2×	21	548
Anand Narayanan United States	11	187 0.8×	62 0.5×	39 0.5×	21 0.5×	44 1.3×	20	392
Chun Huang China	11	94 0.4×	65 0.5×	91 1.1×	60 1.5×	32 1.0×	19	257
Christian Margeta Austria	10	133 0.6×	132 1.0×	71 0.9×	24 0.6×	43 1.3×	16	352
Yuanjun Guo United States	6	282 1.3×	237 1.8×	96 1.2×	9 0.2×	66 2.0×	6	448
Arianna Francesconi Italy	10	169 0.8×	93 0.7×	39 0.5×	20 0.5×	24 0.7×	14	340

Countries citing papers authored by Vivek Singh

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Singh. A scholar is included among the top collaborators of Vivek Singh 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 Vivek Singh. Vivek Singh 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:

16 of 16 papers shown

Singh, Vivek, et al.. (2025). Artificial intelligence in surgery: what is needed for ongoing innovation. Surgery (Oxford). 43(3). 129–134.

Jogan, Matjaž, et al.. (2024). Quality over quantity? The role of data quality and uncertainty for AI in surgery. Global Surgical Education - Journal of the Association for Surgical Education. 3(1). 1 indexed citations

Singh, Vivek, et al.. (2022). Artificial intelligence in hepatopancreaticobiliary surgery - promises and perils. 2(4). 213–23. 5 indexed citations

Mathison, Megumi, Deepthi Sanagasetti, Vivek Singh, et al.. (2021). Fibroblast transition to an endothelial “trans” state improves cell reprogramming efficiency. Scientific Reports. 11(1). 22605–22605. 10 indexed citations

Rahmanto, Yohan Suryo, Wenjing Shen, Xu Shi, et al.. (2020). Inactivation of Arid1a in the endometrium is associated with endometrioid tumorigenesis through transcriptional reprogramming. Nature Communications. 11(1). 2717–2717. 55 indexed citations

Singh, Vivek, Deepthi Sanagasetti, Megumi Mathison, et al.. (2020). Enhanced Generation of Induced Cardiomyocytes Using a Small‐Molecule Cocktail to Overcome Barriers to Cardiac Cellular Reprogramming. Journal of the American Heart Association. 9(12). e015686–e015686. 27 indexed citations

Singh, Vivek, Deepthi Sanagasetti, Jacqueline K. Olive, et al.. (2018). p63 Silencing induces reprogramming of cardiac fibroblasts into cardiomyocyte-like cells. Journal of Thoracic and Cardiovascular Surgery. 156(2). 556–565.e1. 8 indexed citations

Yang, Lina, Hongwen Gao, Deepthi Sanagasetti, et al.. (2018). Abstract 349: Sall4 Blocks Cardiac Trans-differentiation but Stimulates Cardiac Stem-like Cell (iPSC) Generation and Improve Post MI Function In Vivo. Circulation Research. 123(Suppl_1). 1 indexed citations

Neyaz, Zafar, Vivek Singh, Anant Mehrotra, & Manoj Jain. (2018). Cerebral aspergillosis mimicking a neoplasm in an immunocompetent patient. International Journal of Applied and Basic Medical Research. 8(4). 269–269. 5 indexed citations

10.

Mathison, Megumi, Vivek Singh, Deepthi Sanagasetti, et al.. (2017). Cardiac reprogramming factor Gata4 reduces postinfarct cardiac fibrosis through direct repression of the profibrotic mediator snail. Journal of Thoracic and Cardiovascular Surgery. 154(5). 1601–1610.e3. 19 indexed citations

11.

Yang, Lina, Li Liu, Hongwen Gao, et al.. (2017). The stem cell factor SALL4 is an essential transcriptional regulator in mixed lineage leukemia-rearranged leukemogenesis. Journal of Hematology & Oncology. 10(1). 159–159. 37 indexed citations

12.

Singh, Vivek, et al.. (2017). Cryptococcal meningitis in HIV (AIDS) patients: A Mini Review. 4(1). 1 indexed citations

13.

Mathison, Megumi, Vivek Singh, Marı́a J. Chiuchiolo, et al.. (2016). In situ reprogramming to transdifferentiate fibroblasts into cardiomyocytes using adenoviral vectors: Implications for clinical myocardial regeneration. Journal of Thoracic and Cardiovascular Surgery. 153(2). 329–339.e3. 39 indexed citations

14.

Singh, Vivek, Megumi Mathison, Xueping Xu, et al.. (2014). Abstract 135: Reprogramming of Pig Cardiac Fibroblasts to Cardiomyocyte Fate: Implications for Gene Therapy to Treat Myocardial Infarction. Circulation Research. 115(suppl_1). 2 indexed citations

15.

Singh, Vivek, et al.. (2014). Prevalence of diabetic retinopathy in type 2 diabetics and its correlation with various clinical and metabolic factors. International Journal of Diabetes in Developing Countries. 35(S3). 303–309. 3 indexed citations

16.

Singh, Vivek, Kenneth M. Baker, & Rajesh Kumar. (2008). Activation of the intracellular renin-angiotensin system in cardiac fibroblasts by high glucose: role in extracellular matrix production. American Journal of Physiology-Heart and Circulatory Physiology. 294(4). H1675–H1684. 146 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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