Aanchal Mongia

950 total citations
17 papers, 339 citations indexed

About

Aanchal Mongia is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Aanchal Mongia has authored 17 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Aanchal Mongia's work include Single-cell and spatial transcriptomics (6 papers), Computational Drug Discovery Methods (5 papers) and Recommender Systems and Techniques (4 papers). Aanchal Mongia is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Computational Drug Discovery Methods (5 papers) and Recommender Systems and Techniques (4 papers). Aanchal Mongia collaborates with scholars based in India, France and Canada. Aanchal Mongia's co-authors include Angshul Majumdar, Debarka Sengupta, Émilie Chouzenoux, Sanjay Saha, Chayaporn Suphavilai, Niranjan Nagarajan, Shumei Chia, Ankur Sharma, Ramanuj DasGupta and Vinayak Naik and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Aanchal Mongia

17 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aanchal Mongia India	9	235	65	60	49	49	17	339
Marco Frasca Italy	11	186 0.8×	22 0.3×	55 0.9×	102 2.1×	10 0.2×	31	369
Hailin Hu China	14	546 2.3×	43 0.7×	84 1.4×	84 1.7×	18 0.4×	23	747
Suleiman A. Khan Finland	12	255 1.1×	50 0.8×	150 2.5×	47 1.0×	14 0.3×	24	386
Turki Turki Saudi Arabia	13	233 1.0×	34 0.5×	110 1.8×	175 3.6×	14 0.3×	53	550
Andreas Mitterecker Austria	6	421 1.8×	121 1.9×	33 0.6×	105 2.1×	7 0.1×	7	665
Junlin Xu China	17	516 2.2×	214 3.3×	187 3.1×	77 1.6×	34 0.7×	53	743
Yizhou Li China	15	562 2.4×	63 1.0×	152 2.5×	62 1.3×	13 0.3×	62	746
Tolga Can Türkiye	15	646 2.7×	110 1.7×	90 1.5×	59 1.2×	18 0.4×	51	810
Hyunghoon Cho United States	13	488 2.1×	102 1.6×	131 2.2×	345 7.0×	62 1.3×	30	927
Luca Pireddu Italy	10	250 1.1×	29 0.4×	44 0.7×	76 1.6×	10 0.2×	28	387

Countries citing papers authored by Aanchal Mongia

Since Specialization

Citations

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

Fields of papers citing papers by Aanchal Mongia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aanchal Mongia

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

All Works

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17 of 17 papers shown

Mongia, Aanchal, Yeqiao Zhou, Diane C. Saunders, et al.. (2024). AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics. Nature Communications. 15(1). 3744–3744. 2 indexed citations

Mongia, Aanchal, et al.. (2022). DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning—Application to COVID-19. Journal of Computational Biology. 29(5). 441–452. 3 indexed citations

Wu, Jiaxi, Aanchal Mongia, Rafael Peres, et al.. (2022). CREAMMIST: an integrative probabilistic database for cancer drug response prediction. Nucleic Acids Research. 51(D1). D1242–D1248. 10 indexed citations

Suphavilai, Chayaporn, Shumei Chia, Ankur Sharma, et al.. (2021). Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures. Genome Medicine. 13(1). 189–189. 24 indexed citations

Mongia, Aanchal, Sanjay Saha, Émilie Chouzenoux, & Angshul Majumdar. (2021). A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials. Scientific Reports. 11(1). 9047–9047. 17 indexed citations

Mongia, Aanchal, et al.. (2021). Binary matrix completion on graphs: Application to collaborative filtering. Digital Signal Processing. 122. 103350–103350. 1 indexed citations

Mongia, Aanchal & Angshul Majumdar. (2021). Matrix completion on learnt graphs: Application to collaborative filtering. Expert Systems with Applications. 185. 115652–115652. 6 indexed citations

Mongia, Aanchal, et al.. (2020). FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles. NAR Genomics and Bioinformatics. 2(4). lqaa091–lqaa091. 1 indexed citations

Mongia, Aanchal & Angshul Majumdar. (2020). Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. 1324–1328. 2 indexed citations

10.

Mongia, Aanchal & Angshul Majumdar. (2020). Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization. PLoS ONE. 15(1). e0226484–e0226484. 31 indexed citations

11.

Mongia, Aanchal, Debarka Sengupta, & Angshul Majumdar. (2019). McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data. Frontiers in Genetics. 10. 9–9. 55 indexed citations

12.

Mongia, Aanchal, Debarka Sengupta, & Angshul Majumdar. (2019). deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. Journal of Computational Biology. 27(7). 1011–1019. 17 indexed citations

13.

Mongia, Aanchal, et al.. (2019). Deep latent factor model for collaborative filtering. Signal Processing. 169. 107366–107366. 31 indexed citations

14.

Mongia, Aanchal & Angshul Majumdar. (2019). Matrix completion on multiple graphs: Application in collaborative filtering. Signal Processing. 165. 144–148. 10 indexed citations

15.

Mongia, Aanchal, Vidit Jain, Émilie Chouzenoux, & Angshul Majumdar. (2019). Deep Latent Factor Model for Predicting Drug Target Interactions. HAL (Le Centre pour la Communication Scientifique Directe). 1254–1258. 5 indexed citations

16.

Mongia, Aanchal, et al.. (2018). AutoImpute: Autoencoder based imputation of single-cell RNA-seq data. Scientific Reports. 8(1). 16329–16329. 118 indexed citations

17.

Mongia, Aanchal, Venkata M. V. Gunturi, & Vinayak Naik. (2018). Detecting activities at metro stations using smartphone sensors. 57–65. 6 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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