Eric D. Chow
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 5
- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 3
- Immunology top 5%
- Immune cells in cancer 4
- Infectious Diseases top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 3
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 2
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- Fungal Infections and Studies 3
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Kyle Kai‐How FarhWenwu CuiYang LiJack A. KosmickiHong GaoKishore JaganathanStephan SandersDavid A. Knowles
- Partner nations
- United StatesNigerPoland
In The Last Decade
Eric D. Chow
27 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.2k
- Immunology 563
- Infectious Diseases 460
- Cancer Research 333
- Genetics 583
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 38 | |
| 7 | 2020 | 55 | |
| 8 | 2020 | 100 | |
| 9 | 2020 | 27 | |
| 10 | Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancerbreakdown → | 2020 | 464 |
| 11 | 2019 | 96 | |
| 12 | MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indicesbreakdown → | 2019 | 340 |
| 13 | 2019 | 26 | |
| 14 | Predicting Splicing from Primary Sequence with Deep Learningbreakdown → | 2019 | 1250 |
| 15 | 2018 | 189 | |
| 16 | 2017 | 60 | |
| 17 | 2016 | 141 | |
| 18 | 2010 | 100 | |
| 19 | 2008 | 332 | |
| 20 | 2007 | 38 |
About Eric D. Chow
Eric D. Chow is a scholar working on Infectious Diseases, Immunology, Cancer Research, Molecular Biology and Pharmacology, having authored 30 papers that have together received 3.8k 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), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers), Fungal Infections and Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Immunology (563 citations), Infectious Diseases (460 citations), Cancer Research (333 citations) and Genetics (583 citations). Eric D. Chow has collaborated with scholars based in United States, Niger and Poland. Frequent co-authors include Kyle Kai‐How Farh, Wenwu Cui, Yang Li, Jack A. Kosmicki, Hong Gao, Kishore Jaganathan, Stephan Sanders, David A. Knowles, Amirali Kia and Siavash Fazel Darbandi. Their work appears in journals such as Cell, Nature Methods, Blood, Genome biology and Nature Medicine.
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.