Joseph Ipe

443 citations
19 papers · 275 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 3
    • Renal and related cancers 2
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4
    • Cancer Genomics and Diagnostics 1

Joseph Ipe

19 papers receiving 270 citations

Peers

Joseph Ipe
Comparison fields: 5 of 64
  • Cancer Research 49
  • Anesthesiology and Pain Medicine 17
  • Pharmacology 15
  • Molecular Biology 112
  • Genetics 43
Replace Soon Eun Park with:
Soon Eun Park South Korea
Chih‐Jan Ko Taiwan
Yifeng Sun China
Zhen Lei China
Eiko Imamoto Japan
Shubao Wang China
A. Stuart Wright Canada
Karineh Shahverdi United States
Anita Škrtić Croatia
Joseph Ipe relative to Soon Eun Park South Korea Soon Eun Park's profile →
Citations per field
00.5×7.5×
Soon Eun Park · 1×
Citations per year

Countries citing papers authored by Joseph Ipe

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Ipe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200154
2 201941
3 201731
4 202325
5 201824
6 201620
7 201719
8 20189
9 20178
10 20218
11 20227
12 20147
13 20207
14 20225
15 20003
16 20202
17 20212
18 20192
19
In Vivo siRNA Delivery and Rebound of Renal LRP2 in Mice
20171

About Joseph Ipe

Joseph Ipe is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Genetics, having authored 19 papers that have together received 275 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Renal and related cancers (2 papers), Cancer Genomics and Diagnostics (1 paper) and Nausea and vomiting management (1 paper). The work is most often cited by research in Cancer Research (49 citations), Anesthesiology and Pain Medicine (17 citations), Pharmacology (15 citations), Molecular Biology (112 citations) and Genetics (43 citations). Joseph Ipe has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Todd C. Skaar, Yunlong Liu, Marelize Swart, J Gintautas, Steven P. Cohen, Sanjeev Rajpal, Richard Fogler, Rolf P. Kreutz, Hongyu Gao and Michael T. Eadon. Their work appears in journals such as Clinical and Translational Science, Clinical Pharmacology & Therapeutics, Anesthesia & Analgesia, Nature Communications and Genome biology.

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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