Manjari Kiran

1.2k total citations
24 papers, 778 citations indexed

About

Manjari Kiran is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Manjari Kiran has authored 24 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Manjari Kiran's work include Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (4 papers). Manjari Kiran is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (4 papers). Manjari Kiran collaborates with scholars based in India, United States and Russia. Manjari Kiran's co-authors include Anindya Dutta, Canan Kuscu, Pankaj Kumar, Zhangli Su, Asrar Ahmad Malik, Shashi Kiran, Hampapathalu Adimurthy Nagarajaram, Ajay Chatrath, Gayatri Ramakrishna and Xiwei Tang and has published in prestigious journals such as Bioinformatics, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Manjari Kiran

24 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manjari Kiran India 12 596 371 71 66 65 24 778
Jianhui Ma China 5 444 0.7× 302 0.8× 46 0.6× 13 0.2× 112 1.7× 7 651
Xiaolan Chang China 15 316 0.5× 171 0.5× 43 0.6× 15 0.2× 49 0.8× 23 522
Naiara G. Bediaga Australia 15 479 0.8× 217 0.6× 57 0.8× 14 0.2× 28 0.4× 29 762
Zhicheng Pan China 16 669 1.1× 143 0.4× 43 0.6× 11 0.2× 51 0.8× 23 858
Christina Anderlind United States 7 343 0.6× 217 0.6× 166 2.3× 11 0.2× 35 0.5× 13 609
Aram Ko South Korea 12 474 0.8× 119 0.3× 34 0.5× 15 0.2× 58 0.9× 14 596
Haolin Yun China 12 430 0.7× 233 0.6× 70 1.0× 42 0.6× 192 3.0× 13 617
James X. Du United States 12 746 1.3× 93 0.3× 23 0.3× 23 0.3× 32 0.5× 14 806
Daria Sicari Italy 12 277 0.5× 122 0.3× 30 0.4× 8 0.1× 94 1.4× 14 475

Countries citing papers authored by Manjari Kiran

Since Specialization
Citations

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

Fields of papers citing papers by Manjari Kiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjari Kiran

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

All Works

20 of 20 papers shown
1.
Penugurti, Vasudevarao, et al.. (2025). Potential role of Hematopoietic PBX-Interacting Protein (HPIP) in trophoblast fusion and invasion: Implications in pre-eclampsia pathogenesis. Cellular Signalling. 128. 111633–111633. 1 indexed citations
2.
Mudunuri, Suresh B., et al.. (2024). MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network. PLoS Computational Biology. 20(8). e1012336–e1012336. 1 indexed citations
3.
Davis, Eric S., Ivana Yoseli Quiroga, Manjari Kiran, et al.. (2023). Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features. Genome Research. 33(8). 1258–1268. 2 indexed citations
4.
Kiran, Manjari, et al.. (2023). Hubs and Bottlenecks in Protein-Protein Interaction Networks. Methods in molecular biology. 2719. 227–248. 8 indexed citations
5.
Kiran, Manjari, et al.. (2023). Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouse. RNA Biology. 20(1). 563–572. 5 indexed citations
6.
Kiran, Manjari, et al.. (2022). Dissection of hubs and bottlenecks in a protein-protein interaction network. Computational Biology and Chemistry. 102. 107802–107802. 20 indexed citations
7.
Kuscu, Canan, Canan Kuscu, Manjari Kiran, et al.. (2021). Integrative Analyses of Circulating Small RNAs and Kidney Graft Transcriptome in Transplant Glomerulopathy. International Journal of Molecular Sciences. 22(12). 6218–6218. 11 indexed citations
8.
Namwanje, Maria, Thomas Rousselle, Canan Kuscu, et al.. (2021). Rapamycin Alternatively Modifies Mitochondrial Dynamics in Dendritic Cells to Reduce Kidney Ischemic Reperfusion Injury. International Journal of Molecular Sciences. 22(10). 5386–5386. 12 indexed citations
9.
Saha, Shekhar, Manjari Kiran, Canan Kuscu, et al.. (2020). Long Noncoding RNA DRAIC Inhibits Prostate Cancer Progression by Interacting with IKK to Inhibit NF-κB Activation. Cancer Research. 80(5). 950–963. 56 indexed citations
10.
Chatrath, Ajay, Shashi Kiran, Zhangli Su, et al.. (2020). The pan-cancer landscape of prognostic germline variants in 10,582 patients. Genome Medicine. 12(1). 15–15. 23 indexed citations
11.
12.
Chatrath, Ajay, Manjari Kiran, Pankaj Kumar, Aakrosh Ratan, & Anindya Dutta. (2019). The Germline Variants rs61757955 and rs34988193 Are Predictive of Survival in Lower Grade Glioma Patients. Molecular Cancer Research. 17(5). 1075–1086. 5 indexed citations
13.
Reon, Brian J., et al.. (2018). LINC00152 Promotes Invasion through a 3′-Hairpin Structure and Associates with Prognosis in Glioblastoma. Molecular Cancer Research. 16(10). 1470–1482. 40 indexed citations
14.
Kiran, Manjari, et al.. (2018). MUNC, an Enhancer RNA Upstream from the MYOD Gene, Induces a Subgroup of Myogenic Transcripts in trans Independently of MyoD. Molecular and Cellular Biology. 38(20). 29 indexed citations
15.
Kuscu, Canan, Pankaj Kumar, Manjari Kiran, et al.. (2018). tRNA fragments (tRFs) guide Ago to regulate gene expression post-transcriptionally in a Dicer-independent manner. RNA. 24(8). 1093–1105. 292 indexed citations
16.
Kiran, Manjari, Ajay Chatrath, Xiwei Tang, Daniel M. Keenan, & Anindya Dutta. (2018). A Prognostic Signature for Lower Grade Gliomas Based on Expression of Long Non-Coding RNAs. Molecular Neurobiology. 56(7). 4786–4798. 70 indexed citations
17.
Kiran, Manjari & Hampapathalu Adimurthy Nagarajaram. (2016). Interaction and localization diversities of global and local hubs in human protein–protein interaction networks. Molecular BioSystems. 12(9). 2875–2882. 9 indexed citations
18.
Shibata, Etsuko, Manjari Kiran, Yoshiyuki Shibata, et al.. (2016). Two subunits of human ORC are dispensable for DNA replication and proliferation. eLife. 5. 34 indexed citations
19.
Kiran, Shashi, et al.. (2014). Sirtuin 7 in cell proliferation, stress and disease: Rise of the Seventh Sirtuin!. Cellular Signalling. 27(3). 673–682. 92 indexed citations
20.
Bashyam, Murali Dharan, Ajay Kumar Chaudhary, Manjari Kiran, et al.. (2013). Molecular analyses of novel ASAH1 mutations causing Farber lipogranulomatosis: analyses of exonic splicing enhancer inactivating mutation. Clinical Genetics. 86(6). 530–538. 11 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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