Dan Tenenbaum

5.3k total citations
8 papers, 788 citations indexed

About

Dan Tenenbaum is a scholar working on Molecular Biology, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Dan Tenenbaum has authored 8 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Information Systems and Management and 1 paper in Computer Networks and Communications. Recurrent topics in Dan Tenenbaum's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Dan Tenenbaum is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Dan Tenenbaum collaborates with scholars based in United States, Canada and Germany. Dan Tenenbaum's co-authors include Steven Henikoff, Michael P. Meers, Nitin S. Baliga, Heiko Neuweger, Alexander Goesmann, Anne‐Claude Gavin, Séan O’Donoghue, Matthew Hibbs, Reinhard Schneider and Hiroaki Kitano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Methods and Journal of Virology.

In The Last Decade

Dan Tenenbaum

8 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Tenenbaum United States	5	592	66	66	53	45	8	788
Haoyang Li China	15	323 0.5×	36 0.5×	34 0.5×	61 1.2×	25 0.6×	38	720
Ioannis Iliopoulos Greece	14	399 0.7×	31 0.5×	45 0.7×	86 1.6×	24 0.5×	27	627
Maria Secrier United Kingdom	12	492 0.8×	48 0.7×	47 0.7×	39 0.7×	27 0.6×	27	842
Jörg Ackermann Germany	15	588 1.0×	18 0.3×	39 0.6×	34 0.6×	30 0.7×	50	812
Taibo Li United States	11	451 0.8×	15 0.2×	81 1.2×	42 0.8×	27 0.6×	34	740
Mahyar Sabripour United States	10	988 1.7×	14 0.2×	164 2.5×	75 1.4×	46 1.0×	12	1.3k
Aleksandar Stojmirović United States	11	361 0.6×	29 0.4×	140 2.1×	75 1.4×	52 1.2×	25	675
Yuexu Jiang United States	13	739 1.2×	10 0.2×	40 0.6×	61 1.2×	28 0.6×	35	995
Dougu Nam South Korea	17	861 1.5×	16 0.2×	207 3.1×	75 1.4×	43 1.0×	43	1.1k
Michael H. A. Schmitz Switzerland	6	910 1.5×	39 0.6×	61 0.9×	15 0.3×	27 0.6×	6	1.2k

Countries citing papers authored by Dan Tenenbaum

Since Specialization

Citations

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

Fields of papers citing papers by Dan Tenenbaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Tenenbaum

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

All Works

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8 of 8 papers shown

1.

Hester, Jim, Gábor Csárdi, Hadley Wickham, et al.. (2020). R Package Installation from Remote Repositories, Including 'GitHub' [R package remotes version 2.2.0]. 3 indexed citations

2.

Peddu, Vikas, Isabelle Dubuc, Annie Gravel, et al.. (2019). Inherited Chromosomally Integrated Human Herpesvirus 6 Demonstrates Tissue-Specific RNA Expression In Vivo That Correlates with an Increased Antibody Immune Response. Journal of Virology. 94(1). 20 indexed citations

3.

Meers, Michael P., Dan Tenenbaum, & Steven Henikoff. (2019). Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling. Epigenetics & Chromatin. 12(1). 268 indexed citations

4.

Yoon, Sung Ho, David J. Reiss, J Christopher Bare, et al.. (2011). Parallel evolution of transcriptome architecture during genome reorganization. Genome Research. 21(11). 1892–1904. 44 indexed citations

5.

Tenenbaum, Dan, J Christopher Bare, & Nitin S. Baliga. (2010). GTC: A web server for integrating systems biology data with web tools and desktop applications. SHILAP Revista de lepidopterología. 5(1). 7–7. 2 indexed citations

6.

Bare, J Christopher, Tie Koide, David J. Reiss, Dan Tenenbaum, & Nitin S. Baliga. (2010). Integration and visualization of systems biology data in context of the genome. BMC Bioinformatics. 11(1). 382–382. 26 indexed citations

7.

Gehlenborg, Nils, Séan O’Donoghue, Nitin S. Baliga, et al.. (2010). Visualization of omics data for systems biology. Nature Methods. 7(S3). S56–S68. 423 indexed citations

8.

O’Donoghue, Séan, Nitin S. Baliga, Alexander Goesmann, et al.. (2010). Visualization of omics data for systems. 2 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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