Jared Flatow

888 total citations
10 papers, 661 citations indexed

About

Jared Flatow is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Jared Flatow has authored 10 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Jared Flatow's work include Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jared Flatow is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jared Flatow collaborates with scholars based in United States, France and Canada. Jared Flatow's co-authors include Michelle Holko, Warren A. Kibbe, Simon Lin, Gang Feng, John D. Osborne, Lihua Julie Zhu, Maria I. Danila, Rex L. Chisholm, Jonathan Widom and Liqun Xi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Bioinformatics.

In The Last Decade

Jared Flatow

10 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jared Flatow United States	9	501	97	82	76	59	10	661
Xue Jia China	14	294 0.6×	122 1.3×	136 1.7×	37 0.5×	19 0.3×	56	680
Tiziana Sanavia Italy	16	463 0.9×	82 0.8×	103 1.3×	53 0.7×	39 0.7×	40	699
Michael R. Mehan United States	11	425 0.8×	47 0.5×	86 1.0×	95 1.3×	13 0.2×	17	678
Gökmen Altay Türkiye	11	629 1.3×	21 0.2×	133 1.6×	24 0.3×	25 0.4×	26	966
Anna Maria Masci United States	14	324 0.6×	37 0.4×	65 0.8×	21 0.3×	75 1.3×	43	695
Li‐Tzu Yeh Taiwan	15	534 1.1×	39 0.4×	79 1.0×	21 0.3×	29 0.5×	29	788
Xuelin Huang United States	8	254 0.5×	19 0.2×	28 0.3×	94 1.2×	44 0.7×	14	523
Baiba Vilne Latvia	15	284 0.6×	53 0.5×	92 1.1×	25 0.3×	6 0.1×	27	538
Yunxia Sui United States	11	249 0.5×	49 0.5×	62 0.8×	20 0.3×	9 0.2×	18	586

Countries citing papers authored by Jared Flatow

Since Specialization

Citations

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

Fields of papers citing papers by Jared Flatow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Flatow

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

All Works

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10 of 10 papers shown

1.

Guisbert, Karen S. Kim, Yong Zhang, Jared Flatow, et al.. (2012). Meiosis-induced alterations in transcript architecture and noncoding RNA expression in S. cerevisiae. RNA. 18(6). 1142–1153. 19 indexed citations

2.

Rowley, Anne H., Susan C. Baker, Stanford T. Shulman, et al.. (2011). Ultrastructural, Immunofluorescence, and RNA Evidence Support the Hypothesis of a “New” Virus Associated With Kawasaki Disease. The Journal of Infectious Diseases. 203(7). 1021–1030. 99 indexed citations

3.

Tuulos, Ville, et al.. (2011). Disco. 84–89. 14 indexed citations

4.

Flatow, Jared, Jie Song, Lihua Julie Zhu, et al.. (2010). Visual Presentation as a Welcome Alternative to Textual Presentation of Gene Annotation Information. Advances in experimental medicine and biology. 680. 709–715. 4 indexed citations

5.

Xi, Liqun, et al.. (2010). Predicting nucleosome positioning using a duration Hidden Markov Model. BMC Bioinformatics. 11(1). 346–346. 105 indexed citations

6.

Osborne, John D., Jared Flatow, Michelle Holko, et al.. (2009). Annotating the human genome with Disease Ontology. BMC Genomics. 10(S1). S6–S6. 206 indexed citations

7.

Osborne, John D., Jared Flatow, & Michelle Holko. (2009). Annotating the human genome with Disease. 20 indexed citations

8.

Rice, Kim L., Itsaso Hormaeche, Sergei Doulatov, et al.. (2009). Comprehensive genomic screens identify a role for PLZF-RARα as a positive regulator of cell proliferation via direct regulation of c-MYC. Blood. 114(27). 5499–5511. 43 indexed citations

9.

Du, Pan, Gang Feng, Jared Flatow, et al.. (2009). From disease ontology to disease-ontology lite: statistical methods to adapt a general-purpose ontology for the test of gene-ontology associations. Bioinformatics. 25(12). i63–i68. 91 indexed citations

10.

Kim, Marianne K. H., Thomas J. McGarry, Pilib Ó Broin, et al.. (2009). An integrated genome screen identifies the Wnt signaling pathway as a major target of WT1. Proceedings of the National Academy of Sciences. 106(27). 11154–11159. 60 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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