Animesh Ray

3.8k total citations
66 papers, 2.8k citations indexed

About

Animesh Ray is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Animesh Ray has authored 66 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 14 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Animesh Ray's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (9 papers) and Bioinformatics and Genomic Networks (8 papers). Animesh Ray is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (9 papers) and Bioinformatics and Genomic Networks (8 papers). Animesh Ray collaborates with scholars based in United States, Australia and India. Animesh Ray's co-authors include Stephen E. Schauer, David W. Meinke, Ranjan J. Perera, Steven E. Jacobsen, Mitsunori Ogihara, Jean D. Lang, Teresa Golden, Alpan Raval, Ron Skurray and Sung-Sik Park and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Animesh Ray

65 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Animesh Ray United States	29	2.2k	1.4k	430	186	121	66	2.8k
Christian Iseli Switzerland	30	2.1k 1.0×	589 0.4×	326 0.8×	550 3.0×	51 0.4×	60	3.1k
Éric Rivals France	23	1.8k 0.8×	531 0.4×	151 0.4×	362 1.9×	71 0.6×	78	2.3k
Zhi John Lu China	30	2.6k 1.2×	447 0.3×	1.4k 3.3×	254 1.4×	54 0.4×	68	3.3k
Rajkumar Sasidharan United States	18	2.1k 1.0×	1.3k 0.9×	119 0.3×	259 1.4×	16 0.1×	30	2.9k
Juan Carlos Oliveros Spain	30	1.3k 0.6×	892 0.7×	91 0.2×	216 1.2×	22 0.2×	63	2.4k
Gilgi Friedlander Israel	22	2.0k 0.9×	490 0.4×	139 0.3×	418 2.2×	41 0.3×	40	3.3k
Gregory D. Schuler United States	18	2.6k 1.2×	476 0.4×	157 0.4×	623 3.3×	33 0.3×	25	3.3k
Peter Meyer United Kingdom	31	3.2k 1.5×	2.3k 1.7×	87 0.2×	344 1.8×	18 0.1×	90	4.0k
Gregg Helt United States	12	3.2k 1.5×	613 0.5×	935 2.2×	510 2.7×	17 0.1×	18	3.7k
Chong Shou United States	9	1.9k 0.9×	289 0.2×	413 1.0×	259 1.4×	25 0.2×	9	2.3k

Countries citing papers authored by Animesh Ray

Since Specialization

Citations

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

Fields of papers citing papers by Animesh Ray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Animesh Ray

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Chao, et al.. (2025). Red Blood Cell-Derived Exosomes as Mediators of Age-Related Neurodegeneration. Rejuvenation Research. 28(4). 184–194. 1 indexed citations

Kumar, Shakti, Jyoti Verma, Sujit Chaudhuri, et al.. (2022). Region-specific genomic signatures of multidrug-resistant Helicobacter pylori isolated from East and South India. Gene. 847. 146857–146857. 3 indexed citations

Lee, Bongyong, Keisuke Katsushima, Rudramani Pokhrel, et al.. (2022). The long non-coding RNA SPRIGHTLY and its binding partner PTBP1 regulate exon 5 skipping of SMYD3 transcripts in group 4 medulloblastomas. Neuro-Oncology Advances. 4(1). vdac120–vdac120. 6 indexed citations

Ray, Animesh, et al.. (2021). The Paradoxical Behavior of microRNA-211 in Melanomas and Other Human Cancers. Frontiers in Oncology. 10. 628367–628367. 11 indexed citations

Sahoo, Anupama, Junko Sawada, Darren Finlay, et al.. (2020). MicroRNA-211 Modulates the DUSP6-ERK5 Signaling Axis to Promote BRAFV600E-Driven Melanoma Growth In Vivo and BRAF/MEK Inhibitor Resistance. Journal of Investigative Dermatology. 141(2). 385–394. 18 indexed citations

Koo, Seongjoon, et al.. (2018). Supervised Machine Learning with Protein Structural and Network Topological Features Predicts Physical Interactors of the Human Huntingtons Disease Protein. 1362–1367. 1 indexed citations

Lee, Bongyong, Anupama Sahoo, Xiaoli Chen, et al.. (2017). The long noncoding RNA SPRIGHTLY acts as an intranuclear organizing hub for pre-mRNA molecules. Science Advances. 3(5). e1602505–e1602505. 28 indexed citations

Ganguly, Kumkum, et al.. (2016). The interplay between chromosome stability and cell cycle control explored through gene–gene interaction and computational simulation. Nucleic Acids Research. 44(17). 8073–8085. 4 indexed citations

Ray, Animesh, et al.. (2016). A link between chromatin condensation mechanisms and Huntington's disease: connecting the dots. Molecular BioSystems. 12(12). 3515–3529. 2 indexed citations

10.

Mazar, Joseph, Divya Khaitan, Dan DeBlasio, et al.. (2011). Epigenetic Regulation of MicroRNA Genes and the Role of miR-34b in Cell Invasion and Motility in Human Melanoma. PLoS ONE. 6(9). e24922–e24922. 57 indexed citations

11.

Mazar, Joseph, Divya Khaitan, Edward A. Meister, et al.. (2010). The Regulation of miRNA-211 Expression and Its Role in Melanoma Cell Invasiveness. PLoS ONE. 5(11). e13779–e13779. 162 indexed citations

12.

Vallabhajosyula, Ravishankar R., et al.. (2009). Identifying Hubs in Protein Interaction Networks. PLoS ONE. 4(4). e5344–e5344. 140 indexed citations

13.

Zhao, Shan, et al.. (2008). Mining protein networks for synthetic genetic interactions. BMC Bioinformatics. 9(1). 426–426. 46 indexed citations

14.

Baitaluk, Michael, et al.. (2006). PathSys: integrating molecular interaction graphs for systems biology. BMC Bioinformatics. 7(1). 55–55. 38 indexed citations

15.

Schauer, Stephen E., Steven E. Jacobsen, David W. Meinke, & Animesh Ray. (2002). DICER-LIKE1: blind men and elephants in Arabidopsis development. Trends in Plant Science. 7(11). 487–491. 381 indexed citations

16.

Ray, Animesh. (1998). New paradigms in plant embryogenesis: maternal control comes in different flavors. Trends in Plant Science. 3(9). 325–327. 9 indexed citations

17.

Lang, Jean D., et al.. (1994). sin 1, a mutation affecting female fertility in Arabidopsis, interacts with mod 1, its recessive modifier.. Genetics. 137(4). 1101–1110. 53 indexed citations

18.

Ray, Animesh, et al.. (1986). Location of a second partitioning region (ParL) on the F plasmid. FEMS Microbiology Letters. 37(2). 179–182. 6 indexed citations

19.

Jackson, R., et al.. (1984). Cloning and analysis of pif, replication and leading regions of the F plasmid. Molecular and General Genetics MGG. 197(1). 129–136. 10 indexed citations

20.

Ray, Animesh, et al.. (1984). Cloning and molecular analysis of the finO region from the antibiotic-resistance plasmid R6-5. Plasmid. 12(3). 222–226. 11 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.

Explore authors with similar magnitude of impact