Ramesh Singh

993 total citations
12 papers, 819 citations indexed

About

Ramesh Singh is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ramesh Singh has authored 12 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ramesh Singh's work include Ubiquitin and proteasome pathways (3 papers), Circular RNAs in diseases (3 papers) and Extracellular vesicles in disease (2 papers). Ramesh Singh is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Circular RNAs in diseases (3 papers) and Extracellular vesicles in disease (2 papers). Ramesh Singh collaborates with scholars based in United States and China. Ramesh Singh's co-authors include Yin‐Yuan Mo, Kounosuke Watabe, Radhika Pochampally, Zhaohui Lü, Y-Y Mo, Shrish C. Gupta, Subash C. Gupta, Zheng Lü, Nanjiang Zhou and Azeddine Atfi 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

Ramesh Singh

11 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Singh United States 8 715 528 92 46 43 12 819
Paola Tiberio Italy 12 448 0.6× 349 0.7× 89 1.0× 32 0.7× 47 1.1× 39 624
Nan Sun China 16 782 1.1× 593 1.1× 120 1.3× 66 1.4× 78 1.8× 32 957
Pasqualino De Antonellis Italy 10 632 0.9× 471 0.9× 181 2.0× 56 1.2× 50 1.2× 16 889
Fengming Lan China 14 828 1.2× 747 1.4× 52 0.6× 63 1.4× 53 1.2× 19 999
Pınar Kanlikilicer United States 10 626 0.9× 467 0.9× 112 1.2× 136 3.0× 44 1.0× 18 776
Ginevra Doglioni Belgium 5 371 0.5× 359 0.7× 195 2.1× 64 1.4× 62 1.4× 5 590
Yantian Fang China 14 434 0.6× 356 0.7× 155 1.7× 59 1.3× 60 1.4× 23 641
Jiadong Chi China 12 425 0.6× 267 0.5× 193 2.1× 45 1.0× 73 1.7× 27 567
Huizhi Sun China 16 478 0.7× 313 0.6× 188 2.0× 76 1.7× 72 1.7× 23 641
Hong‐Li Jiao China 18 821 1.1× 605 1.1× 143 1.6× 47 1.0× 66 1.5× 25 978

Countries citing papers authored by Ramesh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Singh

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

All Works

12 of 12 papers shown
1.
Singh, Ramesh, Huan Meng, Tao Shen, et al.. (2023). TRAF4-mediated nonproteolytic ubiquitination of androgen receptor promotes castration-resistant prostate cancer. Proceedings of the National Academy of Sciences. 120(20). e2218229120–e2218229120. 11 indexed citations
2.
Yu, Wenjuan, Ramesh Singh, Zhao Wang, Bert W. O’Malley, & Ping Yi. (2021). The E3 ligase TRAF4 promotes IGF signaling by mediating atypical ubiquitination of IRS-1. Journal of Biological Chemistry. 296. 100739–100739. 10 indexed citations
3.
Singh, Shyam, Blanca Pilar Galindo Torres, O P Sharma, et al.. (2020). A Case of a High-Risk Coronary Artery Anomaly in a 34-Year Old Caucasian Male.
4.
Singh, Ramesh, Hong Shen, Subhamoy Dasgupta, et al.. (2018). TRAF4-mediated ubiquitination of NGF receptor TrkA regulates prostate cancer metastasis. Journal of Clinical Investigation. 128(7). 3129–3143. 64 indexed citations
5.
Kaur, Ramanjit, et al.. (2017). The Role of Beta Blockers in the Prevention of Gastrointestinal Bleeding After Left Ventricular Assist Device Implantation. The Journal of Heart and Lung Transplantation. 36(4). S443–S443. 1 indexed citations
6.
Singh, Ramesh, Shrish C. Gupta, Nanjiang Zhou, et al.. (2016). Regulation of alternative splicing of Bcl-x by BC200 contributes to breast cancer pathogenesis. Cell Death and Disease. 7(6). e2262–e2262. 126 indexed citations
7.
Gupta, Shrish C., Ramesh Singh, Jianjun Liu, et al.. (2015). Regulation of breast tumorigenesis through acid sensors. Oncogene. 35(31). 4102–4111. 67 indexed citations
8.
Singh, Ramesh, Radhika Pochampally, Kounosuke Watabe, Zhaohui Lü, & Yin‐Yuan Mo. (2014). Exosome-mediated transfer of miR-10b promotes cell invasion in breast cancer. Molecular Cancer. 13(1). 256–256. 332 indexed citations
9.
Gupta, Subash C., Ramesh Singh, Radhika Pochampally, Kounosuke Watabe, & Yin‐Yuan Mo. (2014). Acidosis promotes invasiveness of breast cancer cells through ROS-AKT-NF-κB pathway. Oncotarget. 5(23). 12070–12082. 77 indexed citations
10.
Singh, Ramesh & Yin‐Yuan Mo. (2013). Role of microRNAs in breast cancer. Cancer Biology & Therapy. 14(3). 201–212. 127 indexed citations
11.
Singh, Ramesh & Yin Yuan Mo. (2012). Abstract 4154: Exosomal microRNAs: mediators for cell-cell communications. Cancer Research. 72(8_Supplement). 4154–4154. 3 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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