Eric E. Bardes

3.9k total citations · 1 hit paper
6 papers, 2.4k citations indexed

About

Eric E. Bardes is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Eric E. Bardes has authored 6 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Computational Theory and Mathematics. Recurrent topics in Eric E. Bardes's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers) and Gene Regulatory Network Analysis (2 papers). Eric E. Bardes is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers) and Gene Regulatory Network Analysis (2 papers). Eric E. Bardes collaborates with scholars based in United States and Israel. Eric E. Bardes's co-authors include Anil G. Jegga, Bruce J. Aronow, Jing Chen, Vinod Kaimal, Scott Tabar, Chao Wu, Ranga Chandra Gudivada, Vivek Kaimal, Kang Jin and Surbhi Bhatnagar and has published in prestigious journals such as Nucleic Acids Research, iScience and Methods in molecular biology.

In The Last Decade

Eric E. Bardes

6 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

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.

ToppGene Suite for gene list enrichment analysis and candidate gene prioritization

2009 2.0k citations Jing Chen, Eric E. Bardes et al. Nucleic Acids Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eric E. Bardes	1.5k	388	379	275	229	6	2.4k
Stefan Kirov	1.6k 1.1×	415 1.1×	371 1.0×	227 0.8×	176 0.8×	26	2.3k
Eric J. Jaehnig	1.4k 1.0×	426 1.1×	303 0.8×	253 0.9×	262 1.1×	20	2.3k
Zhen Li	1.4k 1.0×	360 0.9×	413 1.1×	149 0.5×	150 0.7×	148	2.5k
Jean‐Baptiste Cazier	1.1k 0.8×	560 1.4×	532 1.4×	204 0.7×	166 0.7×	76	2.4k
Adaikalavan Ramasamy	1.3k 0.9×	292 0.8×	641 1.7×	347 1.3×	136 0.6×	40	2.6k
Eryk Kropiwnicki	1.4k 0.9×	395 1.0×	193 0.5×	408 1.5×	223 1.0×	10	2.4k
Megan L. Wojciechowicz	1.5k 1.0×	429 1.1×	208 0.5×	435 1.6×	233 1.0×	13	2.6k
Dani Bercovich	1.2k 0.8×	259 0.7×	696 1.8×	230 0.8×	213 0.9×	74	2.9k
Eurie L. Hong	1.8k 1.2×	360 0.9×	873 2.3×	224 0.8×	99 0.4×	22	2.8k
Michał Dąbrowski	1.3k 0.9×	498 1.3×	255 0.7×	377 1.4×	106 0.5×	70	2.4k

Countries citing papers authored by Eric E. Bardes

Since Specialization

Citations

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

Fields of papers citing papers by Eric E. Bardes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric E. Bardes. 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 Eric E. Bardes. The network helps show where Eric E. Bardes may publish in the future.

Co-authorship network of co-authors of Eric E. Bardes

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

All Works

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6 of 6 papers shown

Jin, Kang, Eric E. Bardes, Alexis Mitelpunkt, et al.. (2021). An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses. iScience. 24(10). 103115–103115. 12 indexed citations

Jin, Kang, Eric E. Bardes, Alexis Mitelpunkt, et al.. (2021). Implicating Gene and Cell Networks Responsible for Differential COVID-19 Host Responses via an Interactive Single Cell Web Portal. SSRN Electronic Journal. 1 indexed citations

Wu, Chao, Eric E. Bardes, Anil G. Jegga, & Bruce J. Aronow. (2014). ToppMiR: ranking microRNAs and their mRNA targets based on biological functions and context. Nucleic Acids Research. 42(W1). W107–W113. 17 indexed citations

Kaimal, Vivek, et al.. (2010). Integrative Systems Biology Approaches to Identify and Prioritize Disease and Drug Candidate Genes. Methods in molecular biology. 700. 241–259. 19 indexed citations

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

Chen, Jing, Eric E. Bardes, Bruce J. Aronow, & Anil G. Jegga. (2009). ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Research. 37(Web Server). W305–W311. 2047 indexed citations breakdown →

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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