Nagarajan Kannan

2.7k total citations
57 papers, 1.8k citations indexed

About

Nagarajan Kannan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Nagarajan Kannan has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Nagarajan Kannan's work include Cancer Cells and Metastasis (17 papers), Cancer Genomics and Diagnostics (10 papers) and Reproductive Biology and Fertility (7 papers). Nagarajan Kannan is often cited by papers focused on Cancer Cells and Metastasis (17 papers), Cancer Genomics and Diagnostics (10 papers) and Reproductive Biology and Fertility (7 papers). Nagarajan Kannan collaborates with scholars based in United States, Canada and India. Nagarajan Kannan's co-authors include Connie J. Eaves, Peter E. Lobie, Mark E. Sherman, Frank Z. Stanczyk, David J. H. F. Knapp, Britton Trabert, Jo K. Perry, Peter Eirew, Prudence M. Grandison and Long Nguyen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nagarajan Kannan

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagarajan Kannan United States 27 1.0k 783 435 223 200 57 1.8k
Maria Colombino Italy 22 952 0.9× 856 1.1× 329 0.8× 257 1.2× 224 1.1× 59 1.6k
Jing Tan China 26 2.0k 2.0× 634 0.8× 602 1.4× 197 0.9× 221 1.1× 75 2.9k
Gregory J. Riggins United States 21 1.0k 1.0× 432 0.6× 326 0.7× 169 0.8× 116 0.6× 35 1.9k
Valeria Masciullo Italy 25 1.5k 1.4× 722 0.9× 361 0.8× 184 0.8× 214 1.1× 53 2.5k
Emma Bolderson Australia 25 1.9k 1.9× 844 1.1× 383 0.9× 232 1.0× 149 0.7× 60 2.4k
Hongling Peng China 24 885 0.9× 404 0.5× 470 1.1× 157 0.7× 217 1.1× 117 1.7k
Andrew Pierce United Kingdom 23 1.3k 1.2× 423 0.5× 270 0.6× 112 0.5× 254 1.3× 69 2.2k
Douglas C. Marchion United States 23 1.8k 1.7× 609 0.8× 253 0.6× 151 0.7× 156 0.8× 66 2.3k
Kristina W. Thiel United States 28 1.7k 1.6× 539 0.7× 469 1.1× 314 1.4× 249 1.2× 63 2.7k
Qiushi Lin United States 21 1.3k 1.3× 595 0.8× 338 0.8× 295 1.3× 101 0.5× 38 2.3k

Countries citing papers authored by Nagarajan Kannan

Since Specialization
Citations

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

Fields of papers citing papers by Nagarajan Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagarajan Kannan

This figure shows the co-authorship network connecting the top 25 collaborators of Nagarajan Kannan. A scholar is included among the top collaborators of Nagarajan Kannan 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 Nagarajan Kannan. Nagarajan Kannan 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.
Varela, Ana Rita, Dong‐Gi Mun, Isabelle M.A. Lombaert, et al.. (2025). Establishment of salivary tissue-organoid biorepository: characterizing salivary gland stem/progenitor cells and novel differentiation marker PSMA/FOLH1. npj Regenerative Medicine. 10(1). 23–23. 1 indexed citations
2.
Mun, Dong‐Gi, Firdous Ahmad Bhat, Husheng Ding, et al.. (2024). Diversity of post-translational modifications and cell signaling revealed by single cell and single organelle mass spectrometry. Communications Biology. 7(1). 884–884. 8 indexed citations
3.
Nguyen, Long, et al.. (2023). Clonal tracking in cancer and metastasis. Cancer and Metastasis Reviews. 43(2). 639–656. 3 indexed citations
4.
Tang, Xiaojia, Jianning Song, Upasana Ray, et al.. (2022). DNA barcoded competitive clone-initiating cell analysis reveals novel features of metastatic growth in a cancer xenograft model. NAR Cancer. 4(3). zcac022–zcac022. 1 indexed citations
5.
Tan, Susanna, Ke Chen, Miguel Ángel Pujana, et al.. (2022). Pathogenic BRCA1 variants disrupt PLK1-regulation of mitotic spindle orientation. Nature Communications. 13(1). 2200–2200. 10 indexed citations
6.
Ray, Upasana, et al.. (2022). Exploiting LRRC15 as a Novel Therapeutic Target in Cancer. Cancer Research. 82(9). 1675–1681. 31 indexed citations
7.
Zhao, Hui, et al.. (2022). Protocol for the Detection of Organoid-Initiating Cell Activity in Patient-Derived Single Fallopian Tube Epithelial Cells. Methods in molecular biology. 2429. 445–454. 4 indexed citations
8.
Ogony, Joshua, Tanya L. Hoskin, Melody Stallings‐Mann, et al.. (2022). Immune cells are increased in normal breast tissues of BRCA1/2 mutation carriers. Breast Cancer Research and Treatment. 197(2). 277–285. 8 indexed citations
9.
Adiga, Satish Kumar, et al.. (2022). Artificial Activation of Murine Oocytes Using Strontium to Derive Haploid and Diploid Parthenotes. Methods in molecular biology. 2429. 15–26. 2 indexed citations
10.
Mun, Dong‐Gi, Santosh Renuse, Mayank Saraswat, et al.. (2020). PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies. Analytical Chemistry. 92(21). 14466–14475. 19 indexed citations
11.
Ananda, Hanumappa, Sandhya Kumari, Satish Kumar Adiga, et al.. (2020). Current Insights and Latest Updates in Sperm Motility and Associated Applications in Assisted Reproduction. Reproductive Sciences. 29(1). 7–25. 101 indexed citations
12.
Sadanandam, Anguraj, Tobias Bopp, Santosh Dixit, et al.. (2020). A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients. Cell Death Discovery. 6(1). 141–141. 28 indexed citations
13.
Morris, Edward J., Eiko Kawamura, Jordan Gillespie, et al.. (2017). Stat3 regulates centrosome clustering in cancer cells via Stathmin/PLK1. Nature Communications. 8(1). 15289–15289. 36 indexed citations
14.
Kannan, Nagarajan, Oksana Nemirovsky, Helen Chen, et al.. (2017). BRCA1 controls the cell division axis and governs ploidy and phenotype in human mammary cells. Oncotarget. 8(20). 32461–32475. 15 indexed citations
15.
Nguyen, Long, Davide Pellacani, Sylvain Lefort, et al.. (2015). Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells. Nature. 528(7581). 267–271. 86 indexed citations
17.
Makarem, Maisam, Nagarajan Kannan, Long Nguyen, et al.. (2013). Developmental Changes in the in Vitro Activated Regenerative Activity of Primitive Mammary Epithelial Cells. PLoS Biology. 11(8). e1001630–e1001630. 46 indexed citations
18.
Kannan, Nagarajan & Stuart S. Chen. (2011). Framework for Extending TransXML for Steel Bridge Construction. Transportation Research Board 90th Annual MeetingTransportation Research Board. 1 indexed citations
19.
Kannan, Nagarajan, Jian Kang, Xiangjun Kong, et al.. (2010). Trefoil Factor 3 Is Oncogenic and Mediates Anti-Estrogen Resistance in Human Mammary Carcinoma. Neoplasia. 12(12). 1041–IN31. 63 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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