Eric Seiser

3.4k citations
15 papers · 2.6k · 1 hit paper · h-index 12

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Genomic variations and chromosomal abnormalities 4
    • Genetic Associations and Epidemiology 2
    • Cancer Genomics and Diagnostics 3

Eric Seiser

15 papers receiving 2.6k citations

Eric Seiser's Hit Papers

Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma 2017 · 2.0k citations
2.0k0+3+6Years since publication50010001.5k

Peers

Eric Seiser
Comparison fields: 5 of 101
  • Hepatology 447
  • Cancer Research 754
  • Oncology 450
  • Molecular Biology 1.1k
  • Pulmonary and Respiratory Medicine 451
Replace Frederick Lang with:
Frederick Lang United States
Akimasa Hayashi Japan
Jeff C. Liu Canada
Wulfran Cacheux France
Binkui Li China
Bo Hwa Sohn South Korea
Zhaoshi Zeng United States
Lisha Qi China
Sara Ann Byron United States
Mu-Yan Cai China
Eric Seiser relative to Frederick Lang United States Frederick Lang's profile →
Citations per field
00.5×2×2.9×
Frederick Lang · 1×
Citations per year

Countries citing papers authored by Eric Seiser

Since Specialization
Citations

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

Fields of papers citing papers by Eric Seiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Seiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Seiser Line = papers co-authored together Eric Seiser links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma
Hit paper breakdown →
20171970
2 2016173
3 2006161
4 201177
5 201641
6 200836
7 200730
8 201127
9 201120
10 201516
11 201414
12 201814
13 20164
14 20203
15 20141

About Eric Seiser

Eric Seiser is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Oncology and Neurology, having authored 15 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Veterinary Oncology Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Neuroblastoma Research and Treatments (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Hepatology (447 citations), Cancer Research (754 citations), Oncology (450 citations), Molecular Biology (1.1k citations) and Pulmonary and Respiratory Medicine (451 citations). Eric Seiser has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Rachael Thomas, Matthew Breen, Federico Innocenti, Steven E. Suter, Kerstin Lindblad‐Toh, Kristy L. Richards, Alison A. Motsinger‐Reif, Jaime F. Modiano, David J. Argyle and Deanna L. Kroetz. Their work appears in journals such as PLoS ONE, Journal of Heredity, Nature Genetics, Cancer Research and Cell.

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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