Vidhya G. Krishnan

1.4k total citations · 1 hit paper
12 papers, 999 citations indexed

About

Vidhya G. Krishnan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Vidhya G. Krishnan has authored 12 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Surgery. Recurrent topics in Vidhya G. Krishnan's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (3 papers) and Pancreatic function and diabetes (3 papers). Vidhya G. Krishnan is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (3 papers) and Pancreatic function and diabetes (3 papers). Vidhya G. Krishnan collaborates with scholars based in Singapore, United Kingdom and United States. Vidhya G. Krishnan's co-authors include Sean D. Mooney, Predrag Radivojac, Biao Li, D.N. Cooper, Matthew Mort, Fuxiao Xin, David R. Westhead, Uday S. Evani, Shawn Hoon and Adrian Kee Keong Teo and has published in prestigious journals such as Nature Communications, Bioinformatics and Cell Death and Disease.

In The Last Decade

Vidhya G. Krishnan

10 papers receiving 982 citations

Hit Papers

Automated inference of molecular mechanisms of disease fr... 2009 2026 2014 2020 2009 200 400 600
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.

  1. Automated inference of molecular mechanisms of disease from amino acid substitutions
    2009 623 citations Biao Li, Vidhya G. Krishnan et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidhya G. Krishnan Singapore 8 720 411 113 100 66 12 999
Gabriella Esposito Italy 19 650 0.9× 137 0.3× 154 1.4× 94 0.9× 65 1.0× 56 923
Yuichiro Saito Japan 15 757 1.1× 297 0.7× 59 0.5× 128 1.3× 80 1.2× 35 1.2k
Bridget S. Gosis United States 8 901 1.3× 226 0.5× 43 0.4× 140 1.4× 53 0.8× 8 1.2k
Jason Boyer United States 4 696 1.0× 182 0.4× 116 1.0× 102 1.0× 80 1.2× 4 1.1k
Alanna Strong United States 13 721 1.0× 319 0.8× 111 1.0× 303 3.0× 146 2.2× 47 1.3k
J. Haase United States 2 696 1.0× 182 0.4× 116 1.0× 51 0.5× 80 1.2× 2 1.1k
Anne Fougerat France 14 578 0.8× 248 0.6× 76 0.7× 98 1.0× 128 1.9× 21 1.0k
Jillian G. Buchan United States 14 589 0.8× 352 0.9× 203 1.8× 133 1.3× 74 1.1× 22 1.1k
Jianan Wang China 19 600 0.8× 114 0.3× 272 2.4× 74 0.7× 21 0.3× 55 926
П. М. Рубцов Russia 15 465 0.6× 226 0.5× 61 0.5× 78 0.8× 26 0.4× 65 751

Countries citing papers authored by Vidhya G. Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Vidhya G. Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidhya G. Krishnan. 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 Vidhya G. Krishnan. The network helps show where Vidhya G. Krishnan may publish in the future.

Co-authorship network of co-authors of Vidhya G. Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Vidhya G. Krishnan. A scholar is included among the top collaborators of Vidhya G. Krishnan 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 Vidhya G. Krishnan. Vidhya G. Krishnan 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.
Lau, Hwee Hui, et al.. (2023). FGFR-mediated ERK1/2 signaling contributes to mesendoderm and definitive endoderm formation in vitro. iScience. 26(8). 107265–107265. 5 indexed citations
2.
3.
Lim, Chang Siang, Yaw Sing Tan, Natasha Hui Jin Ng, et al.. (2021). Decreased GLUT2 and glucose uptake contribute to insulin secretion defects in MODY3/HNF1A hiPSC-derived mutant β cells. Nature Communications. 12(1). 3133–3133. 46 indexed citations
4.
Loo, Larry Sai Weng, Hwee Hui Lau, Natasha Hui Jin Ng, et al.. (2020). BCL-xL/BCL2L1 is a critical anti-apoptotic protein that promotes the survival of differentiating pancreatic cells from human pluripotent stem cells. Cell Death and Disease. 11(5). 378–378. 47 indexed citations
5.
Ng, Natasha Hui Jin, Chang Siang Lim, Hwee Hui Lau, et al.. (2019). HNF4A Haploinsufficiency in MODY1 Abrogates Liver and Pancreas Differentiation from Patient-Derived Induced Pluripotent Stem Cells. iScience. 16. 192–205. 42 indexed citations
6.
Saravanan, Palaniappan & Vidhya G. Krishnan. (2016). Awareness and practice of standard treatment Guidelines and drug therapeutic committee Among primary care physicians. International Journal of Pharma and Bio Sciences. 7(4). 1 indexed citations
7.
8.
Krishnan, Vidhya G. & Pauline C. Ng. (2012). Predicting cancer drivers: are we there yet?. Genome Medicine. 4(11). 88–88. 6 indexed citations
9.
Mooney, Sean D., Vidhya G. Krishnan, & Uday S. Evani. (2010). Bioinformatic Tools for Identifying Disease Gene and SNP Candidates. Methods in molecular biology. 628. 307–319. 44 indexed citations
10.
Mort, Matthew, Uday S. Evani, Vidhya G. Krishnan, et al.. (2010). In silico functional profiling of human disease-associated and polymorphic amino acid substitutions. Human Mutation. 31(3). 335–346. 51 indexed citations
11.
Li, Biao, Vidhya G. Krishnan, Matthew Mort, et al.. (2009). Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 25(21). 2744–2750. 623 indexed citations breakdown →
12.
Krishnan, Vidhya G. & David R. Westhead. (2003). A comparative study of machine-learning methods to predict the effects of single nucleotide polymorphisms on protein function. Bioinformatics. 19(17). 2199–2209. 113 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

Breakdown of academic impact, for papers by Gabriella Esposito Breakdown of academic impact, for papers by Yuichiro Saito Breakdown of academic impact, for papers by Bridget S. Gosis Breakdown of academic impact, for papers by Jason Boyer Breakdown of academic impact, for papers by Alanna Strong Breakdown of academic impact, for papers by J. Haase Breakdown of academic impact, for papers by Anne Fougerat Breakdown of academic impact, for papers by Jillian G. Buchan Breakdown of academic impact, for papers by Jianan Wang Breakdown of academic impact, for papers by П. М. Рубцов
Rankless by CCL
2026