Rama Maiti

4.6k total citations
10 papers, 964 citations indexed

About

Rama Maiti is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Rama Maiti has authored 10 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Rama Maiti's work include Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (4 papers) and Genomics and Rare Diseases (2 papers). Rama Maiti is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (4 papers) and Genomics and Rare Diseases (2 papers). Rama Maiti collaborates with scholars based in United States, United Kingdom and Italy. Rama Maiti's co-authors include Jennifer R. Wortman, Brian J. Haas, Christopher D. Town, Foo Cheung, Jonathan Crabtree, Erin Hine, Ian Bancroft, Martin Trick, Marielle Vigouroux and Luke J. Tallon and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Plant Cell.

In The Last Decade

Rama Maiti

10 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rama Maiti United States 10 681 640 144 59 38 10 964
Alejandro Sarrion‐Perdigones United States 15 895 1.3× 507 0.8× 149 1.0× 22 0.4× 51 1.3× 22 1.2k
Rakesh Kaundal United States 17 359 0.5× 434 0.7× 42 0.3× 37 0.6× 26 0.7× 48 826
Thomas Van Parys Belgium 9 453 0.7× 279 0.4× 66 0.5× 33 0.6× 12 0.3× 24 635
Zhao Xu China 13 392 0.6× 233 0.4× 40 0.3× 67 1.1× 30 0.8× 21 586
Ida Miklós Hungary 16 689 1.0× 278 0.4× 114 0.8× 122 2.1× 31 0.8× 53 863
Luca Bianco Italy 21 752 1.1× 741 1.2× 204 1.4× 170 2.9× 7 0.2× 62 1.4k
Christian Schudoma Germany 16 518 0.8× 844 1.3× 50 0.3× 83 1.4× 10 0.3× 28 1.1k
Himanshu Sinha India 15 740 1.1× 234 0.4× 377 2.6× 34 0.6× 19 0.5× 33 1.0k
Atina G. Coté Canada 13 889 1.3× 355 0.6× 281 2.0× 22 0.4× 195 5.1× 21 1.2k
Usha Muppirala United States 11 657 1.0× 351 0.5× 64 0.4× 77 1.3× 8 0.2× 18 954

Countries citing papers authored by Rama Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Rama Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rama Maiti

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

All Works

10 of 10 papers shown
1.
Landrum, Melissa, Shanmuga Chitipiralla, Kuljeet Kaur, et al.. (2024). ClinVar: updates to support classifications of both germline and somatic variants. Nucleic Acids Research. 53(D1). D1313–D1321. 22 indexed citations
2.
Wei, Chih-Hsuan, et al.. (2017). tmVar 2.0: integrating genomic variant information from literature with dbSNP and ClinVar for precision medicine. Bioinformatics. 34(1). 80–87. 68 indexed citations
3.
Massa, Alicia N., Humphrey Wanjugi, K. R. Deal, et al.. (2011). Gene Space Dynamics During the Evolution of Aegilops tauschii, Brachypodium distachyon, Oryza sativa, and Sorghum bicolor Genomes. Molecular Biology and Evolution. 28(9). 2537–2547. 33 indexed citations
4.
Rokas, Antonis, Gary A. Payne, Scott Baker, et al.. (2007). What can comparative genomics tell us about species concepts in the genus Aspergillus?. Studies in Mycology. 59. 11–17. 65 indexed citations
5.
Town, Christopher D., Foo Cheung, Rama Maiti, et al.. (2006). Comparative Genomics of Brassica oleracea and Arabidopsis thaliana Reveal Gene Loss, Fragmentation, and Dispersal after Polyploidy. The Plant Cell. 18(6). 1348–1359. 319 indexed citations
6.
Wortman, Jennifer R., Jonathan Crabtree, Vinita Joardar, et al.. (2006). Whole genome comparison of theA. fumigatusfamily. Medical Mycology. 44(s1). 3–7. 37 indexed citations
7.
Haas, Brian J., Jennifer R. Wortman, Catherine M. Ronning, et al.. (2005). Complete reannotation of the Arabidopsis genome: methods, tools, protocols and the final release. BMC Biology. 3(1). 7–7. 118 indexed citations
8.
Yuan, Qiaoping, Shu Ouyang, Aihui Wang, et al.. (2005). The Institute for Genomic Research Osa1 Rice Genome Annotation Database. PLANT PHYSIOLOGY. 138(1). 18–26. 163 indexed citations
9.
Wortman, Jennifer R., Brian J. Haas, Linda I. Hannick, et al.. (2003). Annotation of the Arabidopsis Genome. PLANT PHYSIOLOGY. 132(2). 461–468. 112 indexed citations
10.
Matthews, Benjamin F., T. E. Devine, Jane M. Weisemann, et al.. (2001). Incorporation of Sequenced cDNA and Genomic Markers into the Soybean Genetic Map. Crop Science. 41(2). 516–521. 27 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

Rankless by CCL
2026