Mohan C. Vemuri

4.4k total citations
83 papers, 3.4k citations indexed

About

Mohan C. Vemuri is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mohan C. Vemuri has authored 83 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 23 papers in Genetics and 19 papers in Surgery. Recurrent topics in Mohan C. Vemuri's work include Mesenchymal stem cell research (23 papers), Pluripotent Stem Cells Research (20 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Mohan C. Vemuri is often cited by papers focused on Mesenchymal stem cell research (23 papers), Pluripotent Stem Cells Research (20 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Mohan C. Vemuri collaborates with scholars based in United States, India and Norway. Mohan C. Vemuri's co-authors include Lucas G. Chase, Shayne Boucher, Mahendra S. Rao, Uma Lakshmipathy, Zheng Yang, Chellu S. Chetty, Vivek Tanavde, Andrew Campbell, Hilde Almåsbak and Tanja Aarvak and has published in prestigious journals such as Blood, PLoS ONE and Brain Research.

In The Last Decade

Mohan C. Vemuri

82 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohan C. Vemuri United States 29 1.6k 1.3k 921 518 513 83 3.4k
Paul C. Schiller United States 32 2.1k 1.4× 1.4k 1.1× 824 0.9× 384 0.7× 627 1.2× 60 4.0k
Xiao‐Dong Chen United States 31 1.4k 0.9× 1.0k 0.8× 1.1k 1.1× 571 1.1× 622 1.2× 66 3.9k
Xuetao Pei China 33 2.1k 1.3× 1.1k 0.8× 874 0.9× 489 0.9× 305 0.6× 185 3.7k
Darko Bosnakovski United States 25 2.1k 1.3× 1.3k 1.0× 893 1.0× 317 0.6× 288 0.6× 58 3.8k
Qunzhou Zhang United States 36 1.6k 1.0× 1.2k 0.9× 649 0.7× 894 1.7× 331 0.6× 52 4.2k
Guangqian Zhou China 32 996 0.6× 762 0.6× 671 0.7× 276 0.5× 549 1.1× 100 2.9k
Annelies Bronckaers Belgium 30 1.0k 0.7× 1.2k 1.0× 632 0.7× 334 0.6× 353 0.7× 75 2.9k
Thomas J. Bartosh United States 19 984 0.6× 1.4k 1.1× 832 0.9× 303 0.6× 438 0.9× 26 2.5k
Xiying Wu United States 31 1.3k 0.8× 2.5k 2.0× 1.6k 1.8× 548 1.1× 439 0.9× 59 4.8k
Lin Song China 25 1.1k 0.7× 941 0.7× 567 0.6× 219 0.4× 416 0.8× 53 2.8k

Countries citing papers authored by Mohan C. Vemuri

Since Specialization
Citations

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

Fields of papers citing papers by Mohan C. Vemuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohan C. Vemuri. 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 Mohan C. Vemuri. The network helps show where Mohan C. Vemuri may publish in the future.

Co-authorship network of co-authors of Mohan C. Vemuri

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan C. Vemuri. A scholar is included among the top collaborators of Mohan C. Vemuri 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 Mohan C. Vemuri. Mohan C. Vemuri 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.
2.
Vemuri, Mohan C., et al.. (2024). A passage-free, simplified, and scalable novel method for iPSC generation in three-dimensional culture. Regenerative Therapy. 27. 39–47. 2 indexed citations
3.
Heipertz, Erica L., Evan R. Zynda, Tor Espen Stav-Noraas, et al.. (2021). Current Perspectives on “Off-The-Shelf” Allogeneic NK and CAR-NK Cell Therapies. Frontiers in Immunology. 12. 732135–732135. 134 indexed citations
4.
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
5.
Badenes, Sara M., Tiago G. Fernandes, Shayne Boucher, et al.. (2016). Defined Essential 8™ Medium and Vitronectin Efficiently Support Scalable Xeno-Free Expansion of Human Induced Pluripotent Stem Cells in Stirred Microcarrier Culture Systems. PLoS ONE. 11(3). e0151264–e0151264. 57 indexed citations
6.
Porsborg, Simone Riis, Vladimir Zachar, Shayne Boucher, et al.. (2015). Critical steps in the isolation and expansion of adipose-derived stem cells for translational therapy. Expert Reviews in Molecular Medicine. 17. e11–e11. 42 indexed citations
7.
Lieu, Pauline T., et al.. (2013). Generation of Induced Pluripotent Stem Cells with CytoTune, a Non-Integrating Sendai Virus. Methods in molecular biology. 997. 45–56. 40 indexed citations
8.
Yang, Sufang, Linda Pilgaard, Lucas G. Chase, et al.. (2012). Defined Xenogeneic-Free and Hypoxic Environment Provides Superior Conditions for Long-Term Expansion of Human Adipose-Derived Stem Cells. Tissue Engineering Part C Methods. 18(8). 593–602. 34 indexed citations
9.
Vemuri, Mohan C., Lucas G. Chase, & Mahendra S. Rao. (2011). Mesenchymal Stem Cell Assays and Applications. Methods in molecular biology. 12 indexed citations
10.
Santos, Francisco dos, Pedro Z. Andrade, Manuel M. Abecasis, et al.. (2011). Toward a Clinical-Grade Expansion of Mesenchymal Stem Cells from Human Sources: A Microcarrier-Based Culture System Under Xeno-Free Conditions. Tissue Engineering Part C Methods. 17(12). 1201–1210. 178 indexed citations
11.
Vemuri, Mohan C., et al.. (2009). Serum-Free and Feeder-Free Culture Expansion of Human Embryonic Stem Cells. Methods in molecular biology. 584. 109–119. 5 indexed citations
12.
Vemuri, Mohan C.. (2007). Stem Cell Assays. Methods in molecular biology. 9 indexed citations
13.
Munné, S., E. Velilla, P. Colls, et al.. (2005). Self-correction of chromosomally abnormal embryos in culture and implications for stem cell production. Fertility and Sterility. 84(5). 1328–1334. 115 indexed citations
14.
Vemuri, Mohan C. & Chellu S. Chetty. (2005). Alcohol impairs astrogliogenesis by stem cells in rodent neurospheres. Neurochemistry International. 47(1-2). 129–135. 35 indexed citations
15.
Vemuri, Mohan C., et al.. (2001). Elevated DNA double strand breaks and apoptosis in the CNS of scid mutant mice. Cell Death and Differentiation. 8(3). 245–255. 34 indexed citations
16.
Chechlacz, Magdalena, Mohan C. Vemuri, & Janice R. Naegele. (2001). Role of DNA‐dependent protein kinase in neuronal survival. Journal of Neurochemistry. 78(1). 141–154. 48 indexed citations
17.
Vemuri, Mohan C., et al.. (2001). Ethanol induced changes in cyclin-dependent kinase-5 activity and its activators, P35, P67 (Munc-18) in rat brain. Neuroscience Letters. 308(3). 173–176. 18 indexed citations
18.
Mahadev, Kalyankar & Mohan C. Vemuri. (1998). Ethanol-Induced Changes in Hepatic Chromatin and Nonhistone Nuclear Protein Composition in the Rat. Alcohol. 15(3). 207–211. 4 indexed citations
19.
Kumari, Lakshmi, et al.. (1994). Ethanol induced alterations in plasma membrane protein phosphorylation of neurons and astrocytes. Molecular and Cellular Biochemistry. 130(1). 41–48. 5 indexed citations
20.
Raghunathan, Arumugham, et al.. (1993). Differential effects of 15-HPETE and 15-HETE on BHK-21 cell proliferation and macromolecular composition. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1167(1). 102–108. 11 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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