David Jee

1.2k citations
14 papers · 898 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • RNA Research and Splicing 8
    • RNA modifications and cancer 7
    • RNA Interference and Gene Delivery 2
    • RNA and protein synthesis mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • MicroRNA in disease regulation 8

David Jee

14 papers receiving 888 citations

Peers

David Jee
Comparison fields: 5 of 65
  • Cancer Research 409
  • Molecular Biology 732
  • Oncology 87
  • Aging 6
  • Immunology 59
Replace Vera Huang with:
Vera Huang United States
Andrew Sobala United Kingdom
Omer Ziv Israel
Sooncheol Lee United States
Jan Medenbach Germany
Julie L. Aspden United Kingdom
Ryan D. Walters United States
Karen A. Wehner United States
Elisa Pesce Italy
Jing-Ping Hsin United States
David Jee relative to Vera Huang United States Vera Huang's profile →
Citations per field
00.5×1.5×1.9×
Vera Huang · 1×
Citations per year

Countries citing papers authored by David Jee

Since Specialization
Citations

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

Fields of papers citing papers by David Jee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011409
2 2020122
3 201155
4 201554
5 201851
6 201545
7 201433
8 202028
9 201127
10 201527
11 201319
12 202219
13 20237
14 20252

About David Jee

David Jee is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Biomaterials, having authored 14 papers that have together received 898 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (7 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), RNA and protein synthesis mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (409 citations), Molecular Biology (732 citations), Oncology (87 citations), Aging (6 citations) and Immunology (59 citations). David Jee has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include V. Narry Kim, Dhirendra K. Simanshu, Yuan Tian, Jong‐Eun Park, Inha Heo, Dinshaw J. Patel, Hyeshik Chang, Eric C. Lai, David Baillat and Karen Adelman. Their work appears in journals such as Molecular Cell, PLoS Genetics, Cell Reports, Life Science Alliance and Nature.

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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