Ed Tom

1.1k total citations · 1 hit paper
8 papers, 789 citations indexed

About

Ed Tom is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Ed Tom has authored 8 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Genetics. Recurrent topics in Ed Tom's work include Thyroid Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and RNA modifications and cancer (1 paper). Ed Tom is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and RNA modifications and cancer (1 paper). Ed Tom collaborates with scholars based in United States, Italy and France. Ed Tom's co-authors include G M Duke, Edward S. Mocarski, Richard R. Spaete, T A, George Kemble, Moraima Pagan, Giulia C. Kennedy, Jessica Reynolds, Juan Rosaí and Virginia A. LiVolsi and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ed Tom

7 papers receiving 761 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.

Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains

1996 519 citations T A, Ed Tom et al. Journal of Virology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ed Tom United States	5	527	214	195	98	97	8	789
Julie McCarthy Ireland	13	411 0.8×	115 0.5×	37 0.2×	14 0.1×	161 1.7×	28	634
Sara Jackson United States	14	256 0.5×	100 0.5×	10 0.1×	126 1.3×	86 0.9×	28	626
RenéR.P. de Vries Netherlands	10	138 0.3×	66 0.3×	38 0.2×	132 1.3×	199 2.1×	13	688
J. M. Seigneurin France	13	217 0.4×	46 0.2×	12 0.1×	82 0.8×	72 0.7×	26	608
Sara Romani Iran	13	220 0.4×	7 0.0×	61 0.3×	30 0.3×	44 0.5×	41	468
G Radcliffe United States	11	128 0.2×	26 0.1×	12 0.1×	28 0.3×	189 1.9×	13	601
Annelies van Wengen Netherlands	9	131 0.2×	11 0.1×	33 0.2×	31 0.3×	51 0.5×	12	305
Alessandra Tacconelli Italy	11	124 0.2×	32 0.1×	7 0.0×	52 0.5×	125 1.3×	14	418
Akiko Oyamada Japan	11	97 0.2×	31 0.1×	8 0.0×	40 0.4×	78 0.8×	17	504
Chia‐Hsin Ju United States	11	63 0.1×	11 0.1×	34 0.2×	47 0.5×	131 1.4×	16	509

Countries citing papers authored by Ed Tom

Since Specialization

Citations

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

Fields of papers citing papers by Ed Tom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Tom

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Choi, Yoonha, Joshua Babiarz, Ed Tom, Giulia C. Kennedy, & Jing Huang. (2017). Repurposing kinship coefficients as a sample integrity method for next generation sequencing data in a clinical setting. Model Assisted Statistics and Applications. 12(3). 265–273. 1 indexed citations

2.

Pagan, Moraima, Richard T. Kloos, Kevin Travers, et al.. (2016). The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes. BMC Bioinformatics. 17(S1). 6–6. 27 indexed citations

3.

Sherman, Steven I., Moraima Pagan, Jing Huang, et al.. (2015). Augmenting pre-operative risk of recurrence stratification in differentiated thyroid carcinoma using machine learning and high dimensional transcriptional data from thyroid FNA.. Journal of Clinical Oncology. 33(15_suppl). 6044–6044.

4.

Diggans, James, Su Yeon Kim, Zhanzhi Hu, et al.. (2014). MACHINE LEARNING FROM CONCEPT TO CLINIC: RELIABLE DETECTION OF BRAF V600E DNA MUTATIONS IN THYROID NODULES USING HIGH-DIMENSIONAL RNA EXPRESSION DATA. PubMed. 371–382. 24 indexed citations

5.

Chudova, Darya, Jonathan I. Wilde, Eric T. Wang, et al.. (2010). Molecular Classification of Thyroid Nodules Using High-Dimensionality Genomic Data. The Journal of Clinical Endocrinology & Metabolism. 95(12). 5296–5304. 192 indexed citations

6.

Zhao, Renbin, Kurt Gish, Maureen E. Murphy, et al.. (2000). The Transcriptional Program following p53 Activation. Cold Spring Harbor Symposia on Quantitative Biology. 65(0). 475–482. 25 indexed citations

7.

Baldocchi, R. A., Richard Glynne, David Kowbel, et al.. (1999). Oligonucleotide-array–based comparative genomic hybridization. Nature Genetics. 23(S3). 32–32. 1 indexed citations

8.

A, T, Ed Tom, George Kemble, et al.. (1996). Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains. Journal of Virology. 70(1). 78–83. 519 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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