Janakiraman Krishnamurthy

8.5k total citations · 4 hit papers
25 papers, 5.7k citations indexed

About

Janakiraman Krishnamurthy is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Janakiraman Krishnamurthy has authored 25 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Physiology and 7 papers in Oncology. Recurrent topics in Janakiraman Krishnamurthy's work include Telomeres, Telomerase, and Senescence (11 papers), Cancer-related Molecular Pathways (6 papers) and RNA modifications and cancer (4 papers). Janakiraman Krishnamurthy is often cited by papers focused on Telomeres, Telomerase, and Senescence (11 papers), Cancer-related Molecular Pathways (6 papers) and RNA modifications and cancer (4 papers). Janakiraman Krishnamurthy collaborates with scholars based in United States, Israel and United Kingdom. Janakiraman Krishnamurthy's co-authors include Norman E. Sharpless, Chad Torrice, Matthew R. Ramsey, Khalid Al-Regaiey, Kovalev Gi, Lishan Su, Keith L. Ligon, Angela Koh, Susan Bonner‐Weir and Shenghui He and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Janakiraman Krishnamurthy

25 papers receiving 5.7k citations

Hit Papers

Clearance of senescent ce... 2004 2026 2011 2018 2015 2004 2006 2006 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice
    2015 1.3k citations Jianhui Chang, Yingying Wang et al. Nature Medicine profile →
  2. Ink4a/Arf expression is a biomarker of aging
    2004 1.2k citations Janakiraman Krishnamurthy, Chad Torrice et al. Journal of Clinical Investigation profile →
  3. p16INK4a induces an age-dependent decline in islet regenerative potential
    2006 785 citations Janakiraman Krishnamurthy, Matthew R. Ramsey et al. Nature profile →
  4. Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageing
    2006 733 citations Anna V. Molofsky, Shalom Guy Slutsky et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janakiraman Krishnamurthy United States 19 3.0k 2.6k 1000 928 720 25 5.7k
Ji-Hye Paik United States 24 3.9k 1.3× 1.1k 0.4× 1.1k 1.1× 683 0.7× 703 1.0× 27 5.9k
Ittai Ben‐Porath Israel 27 4.1k 1.4× 1.8k 0.7× 854 0.9× 1.8k 1.9× 366 0.5× 35 6.6k
Madeleine E. Lemieux United States 33 4.3k 1.4× 1.2k 0.5× 874 0.9× 1.1k 1.2× 355 0.5× 67 7.3k
Adam Freund United States 13 3.0k 1.0× 3.3k 1.3× 1.6k 1.6× 629 0.7× 579 0.8× 16 6.2k
Karthik B. Jeganathan United States 26 3.9k 1.3× 1.8k 0.7× 693 0.7× 936 1.0× 566 0.8× 39 6.0k
Chad Torrice United States 19 1.8k 0.6× 1.4k 0.5× 527 0.5× 635 0.7× 396 0.6× 35 3.6k
David Bernard France 37 4.9k 1.6× 1.6k 0.6× 1.2k 1.2× 1.1k 1.1× 266 0.4× 115 7.3k
Utz Herbig United States 23 2.7k 0.9× 3.1k 1.2× 652 0.7× 577 0.6× 867 1.2× 37 4.8k
Shenghui He United States 14 2.4k 0.8× 973 0.4× 573 0.6× 709 0.8× 277 0.4× 20 4.1k
Marta Cañamero Spain 43 5.6k 1.9× 1.6k 0.6× 951 1.0× 2.6k 2.8× 449 0.6× 67 8.4k

Countries citing papers authored by Janakiraman Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Janakiraman Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janakiraman Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of Janakiraman Krishnamurthy. A scholar is included among the top collaborators of Janakiraman Krishnamurthy 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 Janakiraman Krishnamurthy. Janakiraman Krishnamurthy 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.
Swahari, Vijay, Ayumi Nakamura, Émilie Hollville, et al.. (2024). miR-29 is an important driver of aging-related phenotypes. Communications Biology. 7(1). 1055–1055. 13 indexed citations
2.
Krishnamurthy, Janakiraman, Prema Menezes, Michael G. Hudgens, et al.. (2020). Expression of p16INK4a as a biomarker of T-cell aging in HIV-infected patients prior to and during antiretroviral therapy. UNC Libraries. 2 indexed citations
3.
Wood, William A., Janakiraman Krishnamurthy, Natalia Mitin, et al.. (2016). Chemotherapy and Stem Cell Transplantation Increase p16 INK4a Expression, a Biomarker of T-cell Aging. EBioMedicine. 11. 227–238. 56 indexed citations
4.
Chang, Jianhui, Yingying Wang, Lijian Shao, et al.. (2015). Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice. Nature Medicine. 22(1). 78–83. 1301 indexed citations breakdown →
5.
Sorrentino, Jessica A., Janakiraman Krishnamurthy, Stephen L. Tilley, et al.. (2013). p16INK4a reporter mice reveal age-promoting effects of environmental toxicants. Journal of Clinical Investigation. 124(1). 169–173. 66 indexed citations
6.
Burd, Christin E., Jessica A. Sorrentino, Kelly S. Clark, et al.. (2013). Monitoring Tumorigenesis and Senescence In Vivo with a p16INK4a-Luciferase Model. Cell. 152(1-2). 340–351. 305 indexed citations
7.
Nelson, Julie A., Janakiraman Krishnamurthy, Prema Menezes, et al.. (2012). Expression of p16INK4a as a biomarker of T‐cell aging in HIV‐infected patients prior to and during antiretroviral therapy. Aging Cell. 11(5). 916–918. 50 indexed citations
8.
Liu, Yan, Søren M. Johnson, Yuri Fedoriw, et al.. (2011). Expression of p16INK4a prevents cancer and promotes aging in lymphocytes. Blood. 117(12). 3257–3267. 89 indexed citations
9.
Murphy, Andrew, Scott Sayers, Rong Li, et al.. (2011). Cdkn2a Is an Atherosclerosis Modifier Locus That Regulates Monocyte/Macrophage Proliferation. Arteriosclerosis Thrombosis and Vascular Biology. 31(11). 2483–2492. 56 indexed citations
10.
Monahan, Kimberly B., Gabriela I. Rozenberg, Janakiraman Krishnamurthy, et al.. (2010). Somatic p16INK4a loss accelerates melanomagenesis. Oncogene. 29(43). 5809–5817. 56 indexed citations
11.
Wong, Esther Sook Miin, Xavier Le Guezennec, Oleg N. Demidov, et al.. (2009). p38MAPK Controls Expression of Multiple Cell Cycle Inhibitors and Islet Proliferation with Advancing Age. Developmental Cell. 17(1). 142–149. 98 indexed citations
12.
Ramsey, Matthew R., Janakiraman Krishnamurthy, Xin‐Hai Pei, et al.. (2007). Expression of p16Ink4a Compensates for p18Ink4c Loss in Cyclin-Dependent Kinase 4/6–Dependent Tumors and Tissues. Cancer Research. 67(10). 4732–4741. 53 indexed citations
13.
Keku, Temitope O., Chad Torrice, Xiaping He, et al.. (2007). RNA expression analysis of formalin-fixed paraffin-embedded tumors. Laboratory Investigation. 87(4). 383–391. 132 indexed citations
14.
Molofsky, Anna V., Shalom Guy Slutsky, Nancy M. Joseph, et al.. (2006). Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageing. Nature. 443(7110). 448–452. 733 indexed citations breakdown →
15.
Krishnamurthy, Janakiraman, Matthew R. Ramsey, Keith L. Ligon, et al.. (2006). p16INK4a induces an age-dependent decline in islet regenerative potential. Nature. 443(7110). 453–457. 785 indexed citations breakdown →
16.
Krishnamurthy, Janakiraman, Chad Torrice, Matthew R. Ramsey, et al.. (2004). Ink4a/Arf expression is a biomarker of aging. Journal of Clinical Investigation. 114(9). 1299–1307. 1167 indexed citations breakdown →
17.
Krishnamurthy, Janakiraman, Chad Torrice, Matthew R. Ramsey, et al.. (2004). Ink4a/Arf expression is a biomarker of aging. Journal of Clinical Investigation. 114(9). 1299–1307. 105 indexed citations
18.
Fontemaggi, Giulia, Itai Kela, Ninette Amariglio, et al.. (2002). Identification of Direct p73 Target Genes Combining DNA Microarray and Chromatin Immunoprecipitation Analyses. Journal of Biological Chemistry. 277(45). 43359–43368. 117 indexed citations
19.
Rozenfeld-Granot, Galit, Janakiraman Krishnamurthy, Karuppiah Kannan, et al.. (2002). A positive feedback mechanism in the transcriptional activation of Apaf-1 by p53 and the coactivator Zac-1. Oncogene. 21(10). 1469–1476. 56 indexed citations
20.
Kannan, K, Janakiraman Krishnamurthy, J Feng, et al.. (2000). Mutation profile of the p53, fhit, p16INK4a/p19ARF and H-ras genes in Indian breast carcinomas.. International Journal of Oncology. 17(5). 1031–5. 13 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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