Janani Kumar

529 total citations
10 papers, 433 citations indexed

About

Janani Kumar is a scholar working on Oncology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Janani Kumar has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Reproductive Medicine. Recurrent topics in Janani Kumar's work include Cytokine Signaling Pathways and Interactions (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Toxin Mechanisms and Immunotoxins (1 paper). Janani Kumar is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Toxin Mechanisms and Immunotoxins (1 paper). Janani Kumar collaborates with scholars based in Australia, United States and India. Janani Kumar's co-authors include Alister C. Ward, Nuzhat Ahmed, Clifford Liongue, Khalid Abubaker, Michael Quinn, Ardian Latifi, Jock K. Findlay, Erik W. Thompson, Clyde Riley and Daniel R. McCulloch and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Janani Kumar

10 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janani Kumar Australia 9 215 204 109 73 70 10 433
Yuhuan Qiao China 16 333 1.5× 173 0.8× 181 1.7× 87 1.2× 63 0.9× 29 573
Rashid Gabbasov United States 10 286 1.3× 158 0.8× 60 0.6× 24 0.3× 91 1.3× 21 525
Kirsty Ratcliffe United States 6 243 1.1× 123 0.6× 77 0.7× 29 0.4× 31 0.4× 7 385
Chee Man Cheong Australia 8 259 1.2× 155 0.8× 98 0.9× 11 0.2× 45 0.6× 10 434
Jiaojing Liu China 7 262 1.2× 96 0.5× 80 0.7× 21 0.3× 34 0.5× 9 361
Kuo Jiang China 11 210 1.0× 202 1.0× 111 1.0× 19 0.3× 178 2.5× 20 487
Rohit P. Nagare India 10 190 0.9× 125 0.6× 92 0.8× 16 0.2× 34 0.5× 18 292
Shannon L. Gibson United States 7 426 2.0× 238 1.2× 194 1.8× 54 0.7× 26 0.4× 8 548
Rana Abdel‐Fattah United States 10 212 1.0× 80 0.4× 108 1.0× 46 0.6× 21 0.3× 11 421
Volker Ellenrieder Germany 12 614 2.9× 252 1.2× 99 0.9× 12 0.2× 109 1.6× 14 738

Countries citing papers authored by Janani Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Janani Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janani Kumar

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

All Works

10 of 10 papers shown
1.
Yang, Jie, J.R. Horton, Kadir C. Akdemir, et al.. (2021). Preferential CEBP binding to T:G mismatches and increased C-to-T human somatic mutations. Nucleic Acids Research. 49(9). 5084–5094. 11 indexed citations
2.
Kumar, Janani, Gundeep Kaur, Ren Ren, et al.. (2020). KRAB domain of ZFP568 disrupts TRIM28-mediated abnormal interactions in cancer cells. NAR Cancer. 2(2). zcaa007–zcaa007. 9 indexed citations
3.
Kumar, Janani, et al.. (2019). PARP-1/2 Inhibitor Olaparib Prevents or Partially Reverts EMT Induced by TGF-β in NMuMG Cells. International Journal of Molecular Sciences. 20(3). 518–518. 32 indexed citations
4.
Bhattacharya, Atrayee, et al.. (2018). The calcium channel proteins ORAI3 and STIM1 mediate TGF-β inducedSnai1expression. Oncotarget. 9(50). 29468–29483. 24 indexed citations
5.
Kumar, Janani, et al.. (2017). Human Colostrum is a Rich Source of Cells with Stem Cell-Like Properties. 1(A1). 26–31. 1 indexed citations
6.
Kumar, Janani, Hao Fang, Daniel R. McCulloch, Tamsyn M. Crowley, & Alister C. Ward. (2017). Leptin receptor signaling via Janus kinase 2/Signal transducer and activator of transcription 3 impacts on ovarian cancer cell phenotypes. Oncotarget. 8(55). 93530–93540. 34 indexed citations
7.
Kumar, Janani & Alister C. Ward. (2014). Role of the interleukin 6 receptor family in epithelial ovarian cancer and its clinical implications. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1845(2). 117–125. 31 indexed citations
8.
Kumar, Janani, et al.. (2013). Granulocyte colony-stimulating factor receptor signalling via Janus kinase 2/signal transducer and activator of transcription 3 in ovarian cancer. British Journal of Cancer. 110(1). 133–145. 48 indexed citations
10.
Latifi, Ardian, Khalid Abubaker, Alister C. Ward, et al.. (2011). Cisplatin treatment of primary and metastatic epithelial ovarian carcinomas generates residual cells with mesenchymal stem cell-like profile. Journal of Cellular Biochemistry. 112(10). 2850–2864. 212 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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