Ted Natoli

1.7k total citations · 1 hit paper
10 papers, 495 citations indexed

About

Ted Natoli is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ted Natoli has authored 10 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ted Natoli's work include Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (2 papers). Ted Natoli is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (2 papers). Ted Natoli collaborates with scholars based in United States, Switzerland and India. Ted Natoli's co-authors include Todd R. Golub, Aravind Subramanian, Amy Deik, Cong Zhu, Jennifer A. Roth, Rakesh K. Jain, Xin Jin, Matthew G. Vander Heiden, Ahmed Ali and Clary B. Clish and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Ted Natoli

9 papers receiving 490 citations

Hit Papers

align trajectories

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.

A metastasis map of human cancer cell lines

2020 272 citations Xin Jin, Ahmed Ali et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ted Natoli United States	6	328	139	123	54	48	10	495
Hayley E. Francies United Kingdom	10	246 0.8×	128 0.9×	178 1.4×	29 0.5×	52 1.1×	17	436
Tea Pemovska Finland	12	392 1.2×	103 0.7×	143 1.2×	32 0.6×	41 0.9×	25	751
Emanuel Gonçalves United Kingdom	17	757 2.3×	179 1.3×	131 1.1×	30 0.6×	56 1.2×	31	940
Yihong Yu China	9	284 0.9×	74 0.5×	94 0.8×	31 0.6×	37 0.8×	15	453
Elisabeth Werner Rönnerman Sweden	11	200 0.6×	160 1.2×	161 1.3×	19 0.4×	73 1.5×	23	472
Federica Eduati Netherlands	14	390 1.2×	116 0.8×	180 1.5×	37 0.7×	72 1.5×	29	721
Christian T. Hellwig Ireland	10	383 1.2×	60 0.4×	120 1.0×	28 0.5×	22 0.5×	11	517
Aparna Gorthi United States	13	548 1.7×	129 0.9×	147 1.2×	24 0.4×	99 2.1×	23	754
Orit Lavi United States	11	314 1.0×	147 1.1×	207 1.7×	13 0.2×	45 0.9×	15	593

Countries citing papers authored by Ted Natoli

Since Specialization

Citations

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

Fields of papers citing papers by Ted Natoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Natoli

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Natoli. A scholar is included among the top collaborators of Ted Natoli 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 Ted Natoli. Ted Natoli 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.

Way, Gregory P., Ted Natoli, Lev Litichevskiy, et al.. (2022). Morphology and gene expression profiling provide complementary information for mapping cell state. Cell Systems. 13(11). 911–923.e9. 55 indexed citations

2.

Dutta, Subhajit, et al.. (2022). A network based efficient drug repurposing strategy for targeting diabesity. Genes & Diseases. 10(2). 340–343. 3 indexed citations

3.

Natoli, Ted, et al.. (2022). A New Approach Methodology (NAM) Based Assessment of Butylated hydroxytoluene (BHT) for Endocrine Disruption Potential. Toxicological Sciences. 190(2). 227–241. 7 indexed citations

4.

Natoli, Ted, Michael G. Endres, Rajiv Narayan, et al.. (2021). Improving deconvolution methods in biology through open innovation competitions: an application to the connectivity map. Bioinformatics. 37(18). 2889–2895. 1 indexed citations

5.

Ali, Ahmed, Gino B. Ferraro, Ted Natoli, et al.. (2021). Abstract NG10: A metastasis map of human cancer cell lines. Cancer Research. 81(13_Supplement). NG10–NG10.

6.

Jin, Xin, Ahmed Ali, Gino B. Ferraro, et al.. (2020). A metastasis map of human cancer cell lines. Nature. 588(7837). 331–336. 272 indexed citations breakdown →

7.

Endres, Michael G., Rajiv Narayan, Ted Natoli, et al.. (2019). Advancing computational biology and bioinformatics research through open innovation competitions. PLoS ONE. 14(9). e0222165–e0222165. 8 indexed citations

8.

Li, Amy Y., Xiaodong Lü, Ted Natoli, et al.. (2019). The Carcinogenome Project: In Vitro Gene Expression Profiling of Chemical Perturbations to Predict Long-Term Carcinogenicity. Environmental Health Perspectives. 127(4). 47002–47002. 18 indexed citations

9.

Choobdar, Sarvenaz, Mehmet Eren Ahsen, Jake Crawford, et al.. (2018). Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases. SSRN Electronic Journal. 3 indexed citations

10.

Smith, Ian C. P., Peyton Greenside, Ted Natoli, et al.. (2017). Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map. PLoS Biology. 15(11). e2003213–e2003213. 128 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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