P. K. Vinod

2.6k total citations · 1 hit paper
67 papers, 1.6k citations indexed

About

P. K. Vinod is a scholar working on Molecular Biology, Cell Biology and Artificial Intelligence. According to data from OpenAlex, P. K. Vinod has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Cell Biology and 11 papers in Artificial Intelligence. Recurrent topics in P. K. Vinod's work include Microtubule and mitosis dynamics (12 papers), Fungal and yeast genetics research (9 papers) and Gene Regulatory Network Analysis (7 papers). P. K. Vinod is often cited by papers focused on Microtubule and mitosis dynamics (12 papers), Fungal and yeast genetics research (9 papers) and Gene Regulatory Network Analysis (7 papers). P. K. Vinod collaborates with scholars based in India, United Kingdom and Italy. P. K. Vinod's co-authors include U. Deva Priyakumar, Rishal Aggarwal, C. V. Jawahar, Béla Novák, Orsolya Kapuy, Gábor Bánhegyi, K. V. Venkatesh, Raju S. Bapi, Mauro Conti and Akka Zemmari and has published in prestigious journals such as Cell, PLoS ONE and Current Biology.

In The Last Decade

P. K. Vinod

63 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MolGPT: Molecular Generation Using a Transformer-Decoder Model

2021 282 citations P. K. Vinod, U. Deva Priyakumar et al. profile →

Peers

Countries citing papers authored by P. K. Vinod

Since Specialization

Citations

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

Fields of papers citing papers by P. K. Vinod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. K. Vinod

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

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Screening of oral potentially malignant disorders and oral cancer using deep learning models	Scientific Reports	George Paul, G. Krishna et al.	1
2	DeepGraphMut: a graph-based deep learning method for cancer prognosis using somatic mutation profile	Briefings in Bioinformatics	P. K. Vinod et al.	0
3	DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence	Journal of Information Security and Applications	P. K. Vinod, Serena Nicolazzo et al.	1
4	OSTIS: A novel Organization-Specific Threat Intelligence System	Computers & Security	P. K. Vinod, Serena Nicolazzo et al.	4
5	IPD-Brain: An Indian histopathology dataset for glioma subtype classification	Scientific Data	Megha Uppin, C. V. Jawahar et al.	3
6	Network diffusion-based approach for survival prediction and identification of biomarkers using multi-omics data of papillary renal cell carcinoma	Molecular Genetics and Genomics	Keerthi Shetty, P. K. Vinod et al.	1
7	AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images	Cancers	Nirza Mukhia, Praveen Birur et al.	25
8	Gene expression signatures of stepwise progression of Hepatocellular Carcinoma	PLoS ONE	P. K. Vinod et al.	0
9	PREHOST: Host prediction of coronaviridae family using machine learning	Heliyon	U. Deva Priyakumar, P. K. Vinod et al.	1
10	Model scenarios for cell cycle re-entry in Alzheimer's disease	iScience	P. K. Vinod et al.	6
11	Systems-level analysis of transcriptome reorganization during liver regeneration	Molecular Omics	P. K. Vinod et al.	2
12	Integrative analysis of DNA methylation and gene expression in papillary renal cell carcinoma	Molecular Genetics and Genomics	P. K. Vinod et al.	26
13	Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning	Scientific Reports	P. K. Vinod, C. V. Jawahar et al.	156
14	Single-cell transcriptomic analysis of pancreatic islets in health and type 2 diabetes	International Journal of Advances in Engineering Sciences and Applied Mathematics	P. K. Vinod et al.	1
15	Computational modelling of meiotic entry and commitment	Scientific Reports	Orsolya Kapuy, P. K. Vinod et al.	4
16	Mathematical modelling of reversible transition between quiescence and proliferation	PLoS ONE	P. K. Vinod et al.	3
17	Systems-level organization of non-alcoholic fatty liver disease progression network	Molecular BioSystems	Laurent Vinay, P. K. Vinod et al.	16
18	Interplay of transcriptional and proteolytic regulation in driving robust cell cycle progression	Molecular BioSystems	P. K. Vinod, Béla Novák et al.	5
19	A cellular stress-directed bistable switch controls the crosstalk between autophagy and apoptosis	Molecular BioSystems	Orsolya Kapuy, P. K. Vinod et al.	45
20	Quantification of the effect of amino acids on an integrated mTOR and insulinsignaling pathway	Molecular BioSystems	P. K. Vinod, K. V. Venkatesh	25

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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