Sujit Dike

10.0k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Sujit Dike is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Sujit Dike has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 1 paper in Genetics. Recurrent topics in Sujit Dike's work include Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (3 papers) and Genomics and Phylogenetic Studies (2 papers). Sujit Dike is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (3 papers) and Genomics and Phylogenetic Studies (2 papers). Sujit Dike collaborates with scholars based in United States. Sujit Dike's co-authors include Philipp Kapranov, T Gingeras, Jill Cheng, Jeffrey C. Long, Gregg Helt, Jörg Drenkow, Victor Sementchenko, Srinka Ghosh, Ian Bell and Antonio Piccolboni and has published in prestigious journals such as Science, Nature Genetics and Genome Research.

In The Last Decade

Sujit Dike

6 papers receiving 1.4k 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.

Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution

2005 881 citations Jill Cheng, Philipp Kapranov et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sujit Dike United States	6	1.3k	588	251	170	33	6	1.4k
Srinka Ghosh United States	8	1.0k 0.8×	468 0.8×	129 0.5×	138 0.8×	26 0.8×	15	1.2k
Ian Bell Canada	9	1.2k 0.9×	474 0.8×	133 0.5×	135 0.8×	25 0.8×	12	1.3k
Karen J. Goodrich United States	20	1.9k 1.5×	673 1.1×	148 0.6×	112 0.7×	35 1.1×	22	2.0k
Noah Spies United States	10	1.3k 1.1×	659 1.1×	147 0.6×	153 0.9×	12 0.4×	14	1.5k
Jasmina Ponjavic United Kingdom	7	1.3k 1.0×	801 1.4×	147 0.6×	138 0.8×	89 2.7×	7	1.5k
Yafei Yin China	10	1.1k 0.9×	625 1.1×	236 0.9×	73 0.4×	49 1.5×	18	1.2k
Manuela Portoso France	8	1.5k 1.2×	226 0.4×	274 1.1×	129 0.8×	15 0.5×	8	1.6k
Sofia A. Quinodoz United States	13	1.3k 1.0×	372 0.6×	239 1.0×	129 0.8×	38 1.2×	17	1.4k
Lorenzo Calviello Germany	12	1.1k 0.9×	262 0.4×	94 0.4×	80 0.5×	37 1.1×	17	1.2k
Seth W. Cheetham Australia	14	1.1k 0.9×	709 1.2×	160 0.6×	94 0.6×	20 0.6×	26	1.3k

Countries citing papers authored by Sujit Dike

Since Specialization

Citations

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

Fields of papers citing papers by Sujit Dike

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Dike

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Dike. A scholar is included among the top collaborators of Sujit Dike 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 Sujit Dike. Sujit Dike 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:

6 of 6 papers shown

1.

Willingham, Aarron, Sujit Dike, Jill Cheng, et al.. (2006). Transcriptional Landscape of the Human and Fly Genomes: Nonlinear and Multifunctional Modular Model of Transcriptomes. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 101–110. 15 indexed citations

2.

Manak, J. Robert, Sujit Dike, Victor Sementchenko, et al.. (2006). Biological function of unannotated transcription during the early development of Drosophila melanogaster. Nature Genetics. 38(10). 1151–1158. 136 indexed citations

3.

Cheng, Jill, Philipp Kapranov, Jörg Drenkow, et al.. (2005). Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution. Science. 308(5725). 1149–1154. 881 indexed citations breakdown →

4.

Kapranov, Philipp, Jörg Drenkow, Jill Cheng, et al.. (2005). Examples of the complex architecture of the human transcriptome revealed by RACE and high-density tiling arrays. Genome Research. 15(7). 987–997. 231 indexed citations

5.

Dike, Sujit, Vivekanand S. Balija, Zhenyu Xuan, et al.. (2004). The mouse genome: Experimental examination of gene predictions and transcriptional start sites. Genome Research. 14(12). 2424–2429. 11 indexed citations

6.

Palmer, Lance E., Pablo D. Rabinowicz, Vivekanand S. Balija, et al.. (2003). Maize Genome Sequencing by Methylation Filtration. Science. 302(5653). 2115–2117. 153 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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