Scott Tabar

541 total citations
2 papers, 275 citations indexed

About

Scott Tabar is a scholar working on Molecular Biology, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Scott Tabar has authored 2 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Control and Systems Engineering and 1 paper in Mechanical Engineering. Recurrent topics in Scott Tabar's work include Bioinformatics and Genomic Networks (1 paper), Gene Regulatory Network Analysis (1 paper) and Gene expression and cancer classification (1 paper). Scott Tabar is often cited by papers focused on Bioinformatics and Genomic Networks (1 paper), Gene Regulatory Network Analysis (1 paper) and Gene expression and cancer classification (1 paper). Scott Tabar collaborates with scholars based in United States and Iran. Scott Tabar's co-authors include Eric E. Bardes, Anil G. Jegga, Vinod Kaimal, Bruce J. Aronow and Hossein Askarian Abyaneh and has published in prestigious journals such as Nucleic Acids Research.

In The Last Decade

Scott Tabar

1 paper receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Tabar United States 1 160 56 41 36 28 2 275
Vinod Kaimal United States 3 199 1.2× 62 1.1× 53 1.3× 41 1.1× 32 1.1× 3 320
Jaemyun Lyu South Korea 7 197 1.2× 33 0.6× 49 1.2× 60 1.7× 22 0.8× 9 353
Ana González‐Corpas Spain 10 209 1.3× 56 1.0× 33 0.8× 48 1.3× 66 2.4× 13 304
Jessica Lee United States 9 122 0.8× 37 0.7× 73 1.8× 66 1.8× 14 0.5× 22 389
Tearina Chu United States 7 181 1.1× 53 0.9× 46 1.1× 49 1.4× 12 0.4× 8 362
L. O. Bryzgalov Russia 9 245 1.5× 108 1.9× 34 0.8× 47 1.3× 35 1.3× 24 364
Suzanne S. Fei United States 13 172 1.1× 57 1.0× 39 1.0× 55 1.5× 21 0.8× 31 412
María José Alcaraz García Spain 11 134 0.8× 48 0.9× 84 2.0× 15 0.4× 16 0.6× 23 312
Chung‐Sik Choi United States 8 128 0.8× 32 0.6× 32 0.8× 15 0.4× 40 1.4× 13 279
Jiangjun Ma China 11 122 0.8× 58 1.0× 88 2.1× 17 0.5× 33 1.2× 18 325

Countries citing papers authored by Scott Tabar

Since Specialization
Citations

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

Fields of papers citing papers by Scott Tabar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Tabar

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

All Works

2 of 2 papers shown
2.
Kaimal, Vinod, Eric E. Bardes, Scott Tabar, Anil G. Jegga, & Bruce J. Aronow. (2010). ToppCluster: a multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems. Nucleic Acids Research. 38(Web Server). W96–W102. 275 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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