Janakiraman Krishnamurthy
- Molecular Biology top 2%
- Physiology top 0.5%
- Immunology top 2%
- Oncology top 5%
- Aging top 0.2%
- Co-authors
- Norman E. SharplessChad TorriceMatthew R. RamseyLishan SuKhalid Al-RegaieyKovalev GiKeith L. LigonAngela Koh
- Topics
- Telomeres, Telomerase, and Senescence (11 papers)Cancer-related Molecular Pathways (6 papers)RNA modifications and cancer (4 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Janakiraman Krishnamurthy
25 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 3.0k
- Physiology 2.6k
- Immunology 1000
- Oncology 928
- Aging 720
Countries citing papers authored by Janakiraman Krishnamurthy
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 56 | |
| 3 | Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in micebreakdown → | 1301 |
| 4 | 199 | |
| 5 | 66 | |
| 6 | 305 | |
| 7 | 50 | |
| 8 | 89 | |
| 9 | 56 | |
| 10 | 56 | |
| 11 | 98 | |
| 12 | 53 | |
| 13 | 132 | |
| 14 | Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageingbreakdown → | 733 |
| 15 | p16INK4a induces an age-dependent decline in islet regenerative potentialbreakdown → | 785 |
| 16 | Ink4a/Arf expression is a biomarker of agingbreakdown → | 1167 |
| 17 | 105 | |
| 18 | 56 | |
| 19 | 117 | |
| 20 | 13 |
About Janakiraman Krishnamurthy
Janakiraman Krishnamurthy is a scholar working on Aging, Physiology and Virology, having authored 25 papers that have together received 5.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (11 papers), Cancer-related Molecular Pathways (6 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Aging (720 citations), Physiology (2.6k citations) and Developmental Neuroscience (245 citations). Janakiraman Krishnamurthy has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Norman E. Sharpless, Chad Torrice, Matthew R. Ramsey, Lishan Su, Khalid Al-Regaiey, Kovalev Gi, Keith L. Ligon, Angela Koh, Susan Bonner‐Weir and Shalom Guy Slutsky. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.