Eric D. Chow
Impact in
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Immunology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 5
- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 3
- Gut microbiota and health 2
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- Antifungal resistance and susceptibility 2
- Co-authors
- Hong Gao (1 shared paper)Grace Schwartz (1 shared paper)Kyle Kai‐How Farh (1 shared paper)Yang Li (1 shared paper)Wenwu Cui (1 shared paper)Jeremy F. McRae (1 shared paper)Stephan Sanders (1 shared paper)Siavash Fazel Darbandi (1 shared paper)
- Journals
- Cell (4 papers)Nature Methods (3 papers)Genome biology (2 papers)Blood (2 papers)Ophthalmology (1 paper)
- Partner nations
- United StatesNigerPoland
In The Last Decade
Eric D. Chow
28 papers receiving 4.0k citations
Eric D. Chow's Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.0k
- Immunology 507
- Infectious Diseases 407
- Cancer Research 288
- Genetics 538
Countries citing papers authored by Eric D. Chow
This map shows the geographic impact of Eric D. Chow'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 D. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Chow more than expected).
Fields of papers citing papers by Eric D. Chow
This network shows the impact of papers produced by Eric D. Chow. 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 D. Chow. The network helps show where Eric D. Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Splicing from Primary Sequence with Deep Learning Hit paper breakdown → | 2019 | 1347 |
| 2 | Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer Hit paper breakdown → | 2020 | 485 |
| 3 | MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices Hit paper breakdown → | 2019 | 354 |
| 4 | 2008 | 334 | |
| 5 | 2016 | 232 | |
| 6 | 2018 | 199 | |
| 7 | 2016 | 142 | |
| 8 | 2020 | 113 | |
| 9 | 2020 | 106 | |
| 10 | 2010 | 103 | |
| 11 | 2019 | 98 | |
| 12 | 2021 | 85 | |
| 13 | 2017 | 63 | |
| 14 | 2020 | 58 | |
| 15 | 2013 | 53 | |
| 16 | 2014 | 49 | |
| 17 | 2021 | 40 | |
| 18 | 2007 | 38 | |
| 19 | 2020 | 31 | |
| 20 | 2018 | 26 |
About Eric D. Chow
Eric D. Chow is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Epidemiology and Cancer Research, having authored 29 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Single-cell and spatial transcriptomics (4 papers), Immune cells in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Fungal Infections and Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Antifungal resistance and susceptibility (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Immunology (507 citations), Infectious Diseases (407 citations), Cancer Research (288 citations) and Genetics (538 citations). Eric D. Chow has collaborated with scholars based in United States, Niger and Poland. Frequent co-authors include Hong Gao, Grace Schwartz, Kyle Kai‐How Farh, Yang Li, Wenwu Cui, Jeremy F. McRae, Stephan Sanders, Siavash Fazel Darbandi, Serafim Batzoglou and Jack A. Kosmicki. Their work appears in journals such as Cell, Nature Methods, Genome biology, Blood and Ophthalmology.
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.