Eugene Ke

1.7k citations
20 papers · 1.2k · h-index 10

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Virus-based gene therapy research 2
    • Diabetes and associated disorders 2

Eugene Ke

17 papers receiving 1.2k citations

Peers

Eugene Ke
Comparison fields: 5 of 91
  • Cancer Research 280
  • Business and International Management 35
  • Genetics 190
  • Developmental Neuroscience 50
  • Aging 20
Replace Martín Bonamino with:
Martín Bonamino Brazil
Martina Malatesta United States
Francesco Niola Italy
Ivo J. Huijbers Netherlands
Peyton Greenside United States
Fatima Khan United States
Ryan A. Pak United States
Adriana S. Beltrán United States
Ramya Raviram United States
Leo J.Y. Kim United States
Eugene Ke relative to Martín Bonamino Brazil Martín Bonamino's profile →
Citations per field
00.5×3.3×
Martín Bonamino · 1×
Citations per year

Countries citing papers authored by Eugene Ke

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012421
2 2015248
3 2021114
4 2012111
5 201885
6 201555
7 201837
8 201530
9 202224
10 202121
11 20219
12 20217
13 20234
14 20193
15 20202
16 20222
17 20201
18 20240
19 20140
20 20220

About Eugene Ke

Eugene Ke is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Pancreatic function and diabetes (2 papers), Virus-based gene therapy research (2 papers), CAR-T cell therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), Diabetes and associated disorders (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (280 citations), Business and International Management (35 citations), Genetics (190 citations), Developmental Neuroscience (50 citations) and Aging (20 citations). Eugene Ke has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Inder M. Verma, Oded Singer, Tomotoshi Marumoto, Yasushi Soda, Eric A. Bushong, Dinorah Friedmann‐Morvinski, Mark H. Ellisman, Tushar Menon, Amy L. Firth and Narayana Yeddula. Their work appears in journals such as iScience, Frontiers in Cell and Developmental Biology, Nature Communications, BMC Bioinformatics and Cell Reports.

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.

Explore authors with similar magnitude of impact