Anu Venkatesh

2.0k total citations
11 papers, 565 citations indexed

About

Anu Venkatesh is a scholar working on Hepatology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anu Venkatesh has authored 11 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hepatology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anu Venkatesh's work include Topic Modeling (3 papers), Cancer Mechanisms and Therapy (2 papers) and Speech and dialogue systems (2 papers). Anu Venkatesh is often cited by papers focused on Topic Modeling (3 papers), Cancer Mechanisms and Therapy (2 papers) and Speech and dialogue systems (2 papers). Anu Venkatesh collaborates with scholars based in United States, Japan and Singapore. Anu Venkatesh's co-authors include Yujin Hoshida, Behnam Hedayatnia, Raefer Gabriel, Shigeki Nakagawa, Karthik Gopalakrishnan, Dilek Hakkani‐Tür, Daniela Sia, Josep M. Llovet, Pedro Molina-Sánchez and Marina Ruiz de Galarreta and has published in prestigious journals such as PLoS ONE, Gut and Biochemical and Biophysical Research Communications.

In The Last Decade

Anu Venkatesh

9 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anu Venkatesh United States 7 171 138 134 133 89 11 565
Marta Garnelo United Kingdom 5 78 0.5× 86 0.6× 91 0.7× 209 1.6× 66 0.7× 7 497
P. Ravazoula Greece 13 209 1.2× 138 1.0× 35 0.3× 93 0.7× 17 0.2× 42 598
Alfredo Zito Italy 14 212 1.2× 141 1.0× 92 0.7× 174 1.3× 11 0.1× 28 572
Minekatsu Nishida Japan 8 48 0.3× 215 1.6× 86 0.6× 73 0.5× 184 2.1× 16 507
Junjie Kuang China 6 65 0.4× 74 0.5× 76 0.6× 163 1.2× 38 0.4× 11 344
Carol Geppert Germany 15 75 0.4× 235 1.7× 100 0.7× 289 2.2× 10 0.1× 49 719
Salendra Singh United States 11 91 0.5× 178 1.3× 129 1.0× 116 0.9× 13 0.1× 23 671
Run Huang China 8 27 0.2× 184 1.3× 69 0.5× 123 0.9× 45 0.5× 16 476

Countries citing papers authored by Anu Venkatesh

Since Specialization
Citations

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

Fields of papers citing papers by Anu Venkatesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Venkatesh

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

All Works

11 of 11 papers shown
2.
Shukla, Sanjeev, et al.. (2025). Cyclin-dependent kinase 12 influences protein kinase D1 kinase activity. Biochemical and Biophysical Research Communications. 777. 152221–152221.
3.
Gopalakrishnan, Karthik, et al.. (2019). Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations. 1891–1895. 127 indexed citations
4.
Venkatesh, Anu, Chandra Khatri, Ashwin Ram, et al.. (2018). On Evaluating and Comparing Conversational Agents. arXiv (Cornell University). 24 indexed citations
5.
Khatri, Chandra, Anu Venkatesh, Behnam Hedayatnia, et al.. (2018). Alexa Prize — State of the Art in Conversational AI. AI Magazine. 39(3). 40–55. 37 indexed citations
6.
Bansal, Ruchi, Shigeki Nakagawa, Saleh Yazdani, et al.. (2017). Integrin alpha 11 in the regulation of the myofibroblast phenotype: implications for fibrotic diseases. Experimental & Molecular Medicine. 49(11). e396–e396. 59 indexed citations
7.
Yu, Wenquan, Anu Venkatesh, Shigeki Nakagawa, et al.. (2016). Novel substituted aminothiazoles as potent and selective anti-hepatocellular carcinoma agents. Bioorganic & Medicinal Chemistry Letters. 26(23). 5819–5824. 6 indexed citations
8.
Bollard, Julien, Verónica Miguela, Marina Ruiz de Galarreta, et al.. (2016). Palbociclib (PD-0332991), a selective CDK4/6 inhibitor, restricts tumour growth in preclinical models of hepatocellular carcinoma. Gut. 66(7). 1286–1296. 206 indexed citations
9.
Tan, Poh Seng, Shigeki Nakagawa, Nicolas Goossens, et al.. (2015). Clinicopathological indices to predict hepatocellular carcinoma molecular classification. Liver International. 36(1). 108–118. 63 indexed citations
10.
Venkatesh, Anu, Xiaochen Sun, & Yujin Hoshida. (2014). Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis. Genomics Data. 2. 361–362. 3 indexed citations
11.
Kojima, Kensuke, Craig April, Claudia Canasto‐Chibuque, et al.. (2014). Transcriptome Profiling of Archived Sectioned Formalin-Fixed Paraffin-Embedded (AS-FFPE) Tissue for Disease Classification. PLoS ONE. 9(1). e86961–e86961. 40 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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