Jan Chu

2.0k citations
6 papers · 224 · 1 hit paper · h-index 3

Impact in

Papers in

    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 1
    • COVID-19 Clinical Research Studies 1
    • SARS-CoV-2 and COVID-19 Research 1

Jan Chu

4 papers receiving 219 citations

Jan Chu's Hit Papers

Base-Edited CAR7 T Cells for Relapsed T-Cell Acute Lymphoblastic Leukemia 2023 · 188 citations
1880+1+2Years since publication50100150

Peers

Jan Chu
Comparison fields: 5 of 32
  • Oncology 155
  • Business and International Management 11
  • Genetics 68
  • Molecular Biology 119
  • Immunology 34
Replace Farhatullah Syed with:
Farhatullah Syed United Kingdom
Wengang Ge China
January Salas-McKee United States
Neil Humphryes-Kirilov United Kingdom
Yasunori Amaishi Japan
Gul Ahsan United Kingdom
Takuya Maeda Japan
Erting Tang United States
Gijs J. F. van Son Netherlands
Jan Chu relative to Farhatullah Syed United Kingdom Farhatullah Syed's profile →
Citations per field
00.5×
Farhatullah Syed · 1×
Citations per year

Countries citing papers authored by Jan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Chu, 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 Jan Chu Line = papers co-authored together Jan Chu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Base-Edited CAR7 T Cells for Relapsed T-Cell Acute Lymphoblastic Leukemia
Hit paper breakdown →
2023188
2 202231
3 20214
4 20251
5 20220
6 20250

About Jan Chu

Jan Chu is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Physiology and Genetics, having authored 6 papers that have together received 224 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), COVID-19 Clinical Research Studies (1 paper), Nanowire Synthesis and Applications (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Virus-based gene therapy research (1 paper), CRISPR and Genetic Engineering (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Oncology (155 citations), Business and International Management (11 citations), Genetics (68 citations), Molecular Biology (119 citations) and Immunology (34 citations). Jan Chu has collaborated with scholars based in United Kingdom. Frequent co-authors include Robert Chiesa, Rebecca Thomas, Hong Zhan, David O’Connor, Soragia Athina Gkazi, Christos Georgiadis, Kimberly Gilmour, Annie Etuk, Giorgio Ottaviano and Farhatullah Syed. Their work appears in journals such as New England Journal of Medicine, Blood and Blood Advances.

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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