Isha Monga

524 total citations
11 papers, 289 citations indexed

About

Isha Monga is a scholar working on Molecular Biology, Cancer Research and Urology. According to data from OpenAlex, Isha Monga has authored 11 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Urology. Recurrent topics in Isha Monga's work include MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers) and Hair Growth and Disorders (3 papers). Isha Monga is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers) and Hair Growth and Disorders (3 papers). Isha Monga collaborates with scholars based in India, United States and Australia. Isha Monga's co-authors include Manoj Kumar, Abid Qureshi, Nishant Thakur, Anamika Thakur, Indranil Banerjee, Marie Ranson, Prasoon Kumar Thakur, Bruce Ashford, Sandeep Kumar Dhanda and Karambir Kaur and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Isha Monga

10 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isha Monga India	10	199	95	35	34	30	11	289
Jillian de Wilde Netherlands	7	176 0.9×	75 0.8×	35 1.0×	178 5.2×	7 0.2×	9	352
Alex N. Eischeid United States	7	254 1.3×	261 2.7×	83 2.4×	40 1.2×	4 0.1×	8	459
Bernadette A. Chua United States	9	190 1.0×	38 0.4×	96 2.7×	37 1.1×	2 0.1×	12	324
Subodh Kumar United States	10	358 1.8×	59 0.6×	54 1.5×	20 0.6×	3 0.1×	40	481
Coralie Petit France	7	163 0.8×	54 0.6×	52 1.5×	41 1.2×	2 0.1×	11	347
Ayeda A. Ahmed Qatar	7	95 0.5×	47 0.5×	16 0.5×	20 0.6×	3 0.1×	8	254
Mónica Enguita Spain	6	132 0.7×	109 1.1×	52 1.5×	67 2.0×	2 0.1×	11	269
Britta Lötstedt Sweden	7	285 1.4×	45 0.5×	44 1.3×	27 0.8×	2 0.1×	9	405
Marc Botcherby United Kingdom	8	107 0.5×	15 0.2×	30 0.9×	93 2.7×	29 1.0×	13	256
Xinlei Sun China	11	327 1.6×	267 2.8×	88 2.5×	48 1.4×	4 0.1×	20	474

Countries citing papers authored by Isha Monga

Since Specialization

Citations

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

Fields of papers citing papers by Isha Monga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isha Monga

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

All Works

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11 of 11 papers shown

Gelfman, Sahar, Eunice Lee, Isha Monga, et al.. (2022). Whole exome sequencing in Alopecia Areata identifies rare variants in KRT82. Nature Communications. 13(1). 800–800. 18 indexed citations

Monga, Isha, et al.. (2022). Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq. Functional & Integrative Genomics. 22(6). 1105–1112. 12 indexed citations

Monga, Isha, Karambir Kaur, & Sandeep Kumar Dhanda. (2022). Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells. Briefings in Functional Genomics. 21(3). 159–176. 12 indexed citations

Monga, Isha, et al.. (2022). Primary cicatricial alopecias are characterized by dysregulation of shared gene expression pathways. PNAS Nexus. 1(3). pgac111–pgac111. 14 indexed citations

Dai, Zhijun, et al.. (2021). 229 Single cell transcriptomics identifies a potential role for Arg1+ macrophages in alopecia areata pathogenesis. Journal of Investigative Dermatology. 141(5). S41–S41.

Monga, Isha, et al.. (2021). Demystifying emerging bulk RNA-Seq applications: the application and utility of bioinformatic methodology. Briefings in Bioinformatics. 22(6). 56 indexed citations

Monga, Isha & Manoj Kumar. (2019). Computational Resources for Prediction and Analysis of Functional miRNA and Their Targetome. Methods in molecular biology. 1912. 215–250. 24 indexed citations

Monga, Isha & Indranil Banerjee. (2019). Computational Identification of piRNAs Using Features Based on RNA Sequence, Structure, Thermodynamic and Physicochemical Properties. Current Genomics. 20(7). 508–518. 15 indexed citations

Monga, Isha, Abid Qureshi, Nishant Thakur, Amit Gupta, & Manoj Kumar. (2017). ASPsiRNA: A Resource of ASP-siRNAs Having Therapeutic Potential for Human Genetic Disorders and Algorithm for Prediction of Their Inhibitory Efficacy. G3 Genes Genomes Genetics. 7(9). 2931–2943. 15 indexed citations

10.

Gupta, Amit, Karambir Kaur, Akanksha Rajput, et al.. (2016). ZikaVR: An Integrated Zika Virus Resource for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis. Scientific Reports. 6(1). 32713–32713. 37 indexed citations

11.

Qureshi, Abid, Nishant Thakur, Isha Monga, Anamika Thakur, & Manoj Kumar. (2014). VIRmiRNA: a comprehensive resource for experimentally validated viral miRNAs and their targets. Database. 2014. 86 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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