Eric Schadt

972 total citations
10 papers, 147 citations indexed

About

Eric Schadt is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Eric Schadt has authored 10 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Genetics. Recurrent topics in Eric Schadt's work include Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers) and vaccines and immunoinformatics approaches (1 paper). Eric Schadt is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers) and vaccines and immunoinformatics approaches (1 paper). Eric Schadt collaborates with scholars based in United States, Australia and Canada. Eric Schadt's co-authors include Karen E. Ocwieja, Susana Wang, Michael S. Brown, Rithun Mukherjee, Kevin Travers, Frederic D. Bushman, Scott Sherrill-Mix, Jeff Olson, Darren R. Link and Hillel T. Schwartz and has published in prestigious journals such as Nucleic Acids Research, Blood and Nature Biotechnology.

In The Last Decade

Eric Schadt

9 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Schadt United States	4	80	68	24	22	20	10	147
Leonardo Mina Spain	5	113 1.4×	13 0.2×	13 0.5×	14 0.6×	33 1.6×	12	178
Mohammad Jalalirad United States	4	89 1.1×	128 1.9×	37 1.5×	8 0.4×	20 1.0×	6	210
Aracelly Gaete-Argel Chile	8	98 1.2×	18 0.3×	71 3.0×	10 0.5×	15 0.8×	15	174
Yang-Hui Jimmy Yeh United States	8	108 1.4×	70 1.0×	44 1.8×	20 0.9×	36 1.8×	11	205
Elana Cherry Canada	8	104 1.3×	120 1.8×	96 4.0×	8 0.4×	18 0.9×	8	191
Gözde Isik Netherlands	6	32 0.4×	39 0.6×	22 0.9×	3 0.1×	28 1.4×	10	134
Valentina Vongrad Switzerland	7	107 1.3×	77 1.1×	23 1.0×	7 0.3×	17 0.8×	10	168
Helena Nunes‐Cabaço Portugal	10	39 0.5×	47 0.7×	24 1.0×	13 0.6×	21 1.1×	21	272
Kruthika Iyer United States	5	34 0.4×	16 0.2×	20 0.8×	12 0.5×	16 0.8×	11	84
Phillip J. Tomezsko United States	6	169 2.1×	31 0.5×	32 1.3×	15 0.7×	21 1.1×	10	266

Countries citing papers authored by Eric Schadt

Since Specialization

Citations

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

Fields of papers citing papers by Eric Schadt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Schadt

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

Richter, Felix, Emma Holmes, Katherine Guttmann, et al.. (2025). Toward governance of artificial intelligence in pediatric healthcare. npj Digital Medicine. 8(1). 636–636. 1 indexed citations

Ai, Lei, Zongzhi Liu, Minghao Li, et al.. (2022). Treatment Profile of CAR-T Cell Therapy Induced Cytokine Release Syndrome and Neurotoxicity: Insights from Real-World Evidence. Blood. 140(Supplement 1). 12750–12752. 2 indexed citations

Nguyen‐Dumont, Tú, James G. Dowty, Robert J. MacInnis, et al.. (2021). Rare Germline Pathogenic Variants Identified by Multigene Panel Testing and the Risk of Aggressive Prostate Cancer. Cancers. 13(7). 1495–1495. 15 indexed citations

Genes, Nicholas, et al.. (2016). 176 The Asthma Mobile Health Study: Wildfires and Asthma Exacerbations, Just Blowing Smoke or is There a Correlation?. Annals of Emergency Medicine. 68(4). S69–S70. 1 indexed citations

Logsdon, Benjamin A., Bin Zhang, Vitalina Komashko, et al.. (2016). P4‐031: Integrative Network Analysis of Multiple Alzheimer's Disease Rnaseq Studies From the Accelerating Medicine Partnership‐Alzheimer's Disease Consortium. Alzheimer s & Dementia. 12(7S_Part_21). 1 indexed citations

Zhang, Bin, Andrew McKenzie, Minghui Wang, et al.. (2016). F2‐01‐01: Oligodendrocyte‐Enriched Gene Networks Reveal Novel Pathways and Key Targets in the Pathogenesis of Alzheimer’s Disease. Alzheimer s & Dementia. 12(7S_Part_4). 1 indexed citations

Perumal, Deepak, Antonio Simone Laganà, Alex Rubinsteyn, et al.. (2015). Patient-Specific Mutation-Derived Tumor Antigens As Targets for Cancer Immunotherapy in Multiple Myeloma. Blood. 126(23). 1851–1851.

Schwartz, Stephen M., Hillel T. Schwartz, Steve Horvath, Eric Schadt, & Su‐In Lee. (2012). A Systematic Approach to Multifactorial Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 32(12). 2821–2835. 23 indexed citations

Schadt, Eric. (2012). Eric Schadt. Nature Biotechnology. 30(8). 769–770. 3 indexed citations

10.

Ocwieja, Karen E., Scott Sherrill-Mix, Rithun Mukherjee, et al.. (2012). Dynamic regulation of HIV-1 mRNA populations analyzed by single-molecule enrichment and long-read sequencing. Nucleic Acids Research. 40(20). 10345–10355. 100 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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