L. Jayaraman

1.8k citations
7 papers · 1.5k · 1 hit paper · h-index 7

Impact in

Papers in

    • RNA modifications and cancer 4
    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related Molecular Pathways 5

L. Jayaraman

7 papers receiving 1.5k citations

L. Jayaraman's Hit Papers

p53 levels, functional domains, and DNA damage determine the extent of the apoptotic response of tumor cells. 1996 · 609 citations
6090+10+20Years since publication200400600

Peers

L. Jayaraman
Comparison fields: 5 of 81
  • Oncology 803
  • Biotechnology 215
  • Molecular Biology 1.1k
  • Cancer Research 175
  • Clinical Biochemistry 60
Replace Gennadi V. Glinsky with:
Gennadi V. Glinsky United States
Tiziana Bruno Italy
Kevin P. Rice United States
Kevin G. McLure United States
N D Marchenko United States
Fatih Ceteci Germany
L. Chessa Italy
Steven J. Berberich United States
Thomas Jascur United States
Patsy G. Oliver United States
L. Jayaraman relative to Gennadi V. Glinsky United States Gennadi V. Glinsky's profile →
Citations per field
00.5×3.8×
Gennadi V. Glinsky · 1×
Citations per year

Countries citing papers authored by L. Jayaraman

Since Specialization
Citations

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

Fields of papers citing papers by L. Jayaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Jayaraman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Jayaraman Line = papers co-authored together L. Jayaraman links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
p53 levels, functional domains, and DNA damage determine the extent of the apoptotic response of tumor cells.
Hit paper breakdown →
1996609
2 1997404
3 1998272
4 1999121
5 201647
6 201132
7 199415

About L. Jayaraman

L. Jayaraman is a scholar working on Molecular Biology, Oncology, Cell Biology, Biotechnology and Immunology and Allergy, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers), Cell Adhesion Molecules Research (1 paper), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (803 citations), Biotechnology (215 citations), Molecular Biology (1.1k citations), Cancer Research (175 citations) and Clinical Biochemistry (60 citations). L. Jayaraman has collaborated with scholars based in United States and Iceland. Frequent co-authors include Carol Prives, Kanneganti Murthy, Chunhong Zhu, Tom Curran, Steven Xanthoudakis, James L. Manley, Michael Bustin, Ganlin Zhao, Tanmoy Ganguly and Takashi Kishimoto. Their work appears in journals such as Genes & Development, Cold Spring Harbor Symposia on Quantitative Biology, Annals of Oncology, Cellular and Molecular Life Sciences and Glycobiology.

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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