L. Jayaraman

1.8k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

L. Jayaraman is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, L. Jayaraman has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in L. Jayaraman's work include Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers) and Advanced Breast Cancer Therapies (1 paper). L. Jayaraman is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers) and Advanced Breast Cancer Therapies (1 paper). L. Jayaraman collaborates with scholars based in United States and Iceland. L. Jayaraman's co-authors include Carol Prives, Xiaohong Chen, Kanneganti Murthy, Tom Curran, Chunhong Zhu, Steven Xanthoudakis, James L. Manley, Michael Bustin, Ganesh Venkataraman and Ganlin Zhao and has published in prestigious journals such as Genes & Development, Annals of Oncology and Cellular and Molecular Life Sciences.

In The Last Decade

L. Jayaraman

7 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

p53 levels, functional domains, and DNA damage determine the extent of the apoptotic response of tumor cells.

1996 610 citations Xiaohong Chen, L. Jayaraman et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Jayaraman United States	7	1.1k	833	231	184	126	7	1.5k
Xiangao Sun United States	12	1.3k 1.1×	497 0.6×	167 0.7×	224 1.2×	129 1.0×	13	1.6k
Jerry Williams United States	5	945 0.8×	840 1.0×	177 0.8×	268 1.5×	48 0.4×	8	1.5k
Kevin G. McLure United States	16	1.6k 1.4×	794 1.0×	110 0.5×	236 1.3×	104 0.8×	24	1.9k
Tiziana Bruno Italy	22	1.4k 1.2×	674 0.8×	86 0.4×	337 1.8×	162 1.3×	52	1.7k
Kevin P. Rice United States	8	707 0.6×	605 0.7×	149 0.6×	170 0.9×	40 0.3×	10	1.1k
Gennadi V. Glinsky United States	18	1.3k 1.1×	593 0.7×	158 0.7×	261 1.4×	571 4.5×	22	1.9k
Steven J. Berberich United States	20	1.1k 0.9×	722 0.9×	177 0.8×	260 1.4×	46 0.4×	32	1.3k
N D Marchenko United States	15	1.4k 1.2×	1.0k 1.2×	247 1.1×	339 1.8×	147 1.2×	16	1.8k
M. Gloria Luciani United Kingdom	15	812 0.7×	519 0.6×	69 0.3×	163 0.9×	80 0.6×	18	1.2k
L. Chessa Italy	13	1.8k 1.5×	1.1k 1.3×	138 0.6×	535 2.9×	67 0.5×	18	2.0k

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-authorship network of co-authors of L. Jayaraman

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

All Works

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7 of 7 papers shown

1.

O’Keefe, Stephen J., Jean Hoffman‐Censits, Roger B. Cohen, et al.. (2016). Efficacy of the nanoparticle–drug conjugate CRLX101 in combination with bevacizumab in metastatic renal cell carcinoma: results of an investigator-initiated phase I–IIa clinical trial. Annals of Oncology. 27(8). 1579–1585. 47 indexed citations

2.

Roy, Sucharita, Jay Duffner, He Zhou, et al.. (2011). Bioactivity screening of partially desulfated low-molecular-weight heparins: A structure/activity relationship study. Glycobiology. 21(9). 1194–1205. 31 indexed citations

3.

Jayaraman, L. & Carol Prives. (1999). Covalent and noncovalent modifiers of the p53 protein. Cellular and Molecular Life Sciences. 55(1). 76–87. 121 indexed citations

4.

Jayaraman, L., et al.. (1998). High mobility group protein-1 (HMG-1) is a unique activator of p53. Genes & Development. 12(4). 462–472. 273 indexed citations

5.

Jayaraman, L., Kanneganti Murthy, Chunhong Zhu, et al.. (1997). Identification of redox/repair protein Ref-1 as a potent activator of p53.. Genes & Development. 11(5). 558–570. 403 indexed citations

6.

Chen, Xiaohong, et al.. (1996). p53 levels, functional domains, and DNA damage determine the extent of the apoptotic response of tumor cells.. Genes & Development. 10(19). 2438–2451. 610 indexed citations breakdown →

7.

Prives, Carol, Jill Bargonetti, George E. Farmer, et al.. (1994). DNA-binding Properties of the p53 Tumor Suppressor Protein. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 207–213. 15 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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