Sairam Behera

1.2k total citations · 1 hit paper
13 papers, 210 citations indexed

About

Sairam Behera is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sairam Behera has authored 13 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Sairam Behera's work include Genomics and Phylogenetic Studies (9 papers), Genomic variations and chromosomal abnormalities (4 papers) and Chromosomal and Genetic Variations (3 papers). Sairam Behera is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genomic variations and chromosomal abnormalities (4 papers) and Chromosomal and Genetic Variations (3 papers). Sairam Behera collaborates with scholars based in United States, United Kingdom and China. Sairam Behera's co-authors include Fritz J. Sedlazeck, Luis F. Paulin, Medhat Mahmoud, Christos Proukakis, Ester Kalef-Ezra, Sonja W. Scholz, Karl Hong, Claudia M.B. Carvalho, Dominic W. Horner and Moritz Smolka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Methods.

In The Last Decade

Sairam Behera

12 papers receiving 210 citations

Hit Papers

Detection of mosaic and population-level structural varia... 2024 2026 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sairam Behera United States 7 136 88 56 29 8 13 210
Bronwen Aken United Kingdom 4 166 1.2× 89 1.0× 37 0.7× 40 1.4× 10 1.3× 6 224
Jacob R. Heldenbrand United States 5 100 0.7× 75 0.9× 47 0.8× 22 0.8× 4 0.5× 5 199
Taedong Yun United States 5 119 0.9× 94 1.1× 38 0.7× 28 1.0× 12 1.5× 9 224
Philip C. Dishuck United States 6 206 1.5× 130 1.5× 110 2.0× 15 0.5× 7 0.9× 9 281
Zhe Cui China 5 173 1.3× 100 1.1× 78 1.4× 36 1.2× 11 1.4× 16 264
Trevor Pesout United States 2 136 1.0× 57 0.6× 31 0.6× 30 1.0× 9 1.1× 3 167
Arkarachai Fungtammasan United States 4 191 1.4× 96 1.1× 79 1.4× 30 1.0× 3 0.4× 4 240
Snædís Kristmundsdóttir Iceland 7 212 1.6× 166 1.9× 81 1.4× 27 0.9× 14 1.8× 7 321
O. A. Podkolodnaya Russia 10 208 1.5× 50 0.6× 44 0.8× 14 0.5× 3 0.4× 41 262
Charlotte H. Wang United States 2 115 0.8× 65 0.7× 19 0.3× 11 0.4× 11 1.4× 3 186

Countries citing papers authored by Sairam Behera

Since Specialization
Citations

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

Fields of papers citing papers by Sairam Behera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sairam Behera

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

All Works

13 of 13 papers shown
2.
Behera, Sairam, Severine Catreux, Massimiliano Rossi, et al.. (2024). Comprehensive genome analysis and variant detection at scale using DRAGEN. Nature Biotechnology. 43(7). 1177–1191. 18 indexed citations
3.
Smolka, Moritz, Luis F. Paulin, Christopher M. Grochowski, et al.. (2024). Detection of mosaic and population-level structural variants with Sniffles2. Nature Biotechnology. 42(10). 1571–1580. 118 indexed citations breakdown →
4.
Kalef-Ezra, Ester, Diego Pérez‐Rodríguez, Sairam Behera, et al.. (2024). Single-cell somatic copy number variants in brain using different amplification methods and reference genomes. Communications Biology. 7(1). 1288–1288. 1 indexed citations
5.
Chin, Chen-Shan, Sairam Behera, Fritz J. Sedlazeck, et al.. (2023). Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes. Nature Methods. 20(8). 1213–1221. 23 indexed citations
6.
Behera, Sairam, Jonathon LeFaive, Peter Orchard, et al.. (2023). FixItFelix: improving genomic analysis by fixing reference errors. Genome biology. 24(1). 31–31. 13 indexed citations
7.
Gan, Lu, Jin Chai, Hyojin Kim, et al.. (2022). Divergent evolution of extreme production of variant plant monounsaturated fatty acids. Proceedings of the National Academy of Sciences. 119(30). e2201160119–e2201160119. 7 indexed citations
8.
Behera, Sairam, Xiangjun Li, Jitender S. Deogun, et al.. (2021). A consensus-based ensemble approach to improve transcriptome assembly. BMC Bioinformatics. 22(1). 513–513. 6 indexed citations
9.
Behera, Sairam, Jitender S. Deogun, & Etsuko N. Moriyama. (2020). MinIsoClust. 1–7. 2 indexed citations
10.
Behera, Sairam, et al.. (2018). KmerEstimate. 438–447. 5 indexed citations
11.
Behera, Sairam, et al.. (2017). Performance comparison and an ensemble approach of transcriptome assembly. 40. 2226–2228. 2 indexed citations
12.
Behera, Sairam, et al.. (2017). STAG-CNS: An Order-Aware Conserved Noncoding Sequences Discovery Tool for Arbitrary Numbers of Species. Molecular Plant. 10(7). 990–999. 14 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