Jared Kushner

1.6k citations
15 papers · 1.2k · 1 hit paper · h-index 9

Impact in

Papers in

Jared Kushner

14 papers receiving 1.2k citations

Jared Kushner's Hit Papers

CD133 expression is not restricted to stem cells, and both CD133+ and CD133– metastatic colon cancer cells initiate tumors 2008 · 766 citations
7660+6+12Years since publication250500750

Peers

Jared Kushner
Comparison fields: 5 of 79
  • Oncology 633
  • Cancer Research 178
  • Cardiology and Cardiovascular Medicine 211
  • Molecular Biology 635
  • Biotechnology 68
Replace Tim Hoey with:
Tim Hoey United States
Joseph L.‐K. Chan United States
Lucia Borriello United States
Mick Burkhardt Germany
Bo Cen United States
Charlotte Guyader France
Jimmy K. Stauffer United States
Marco Gymnopoulos United States
Justin H. Berger United States
Alexander Kukalev Germany
Jared Kushner relative to Tim Hoey United States Tim Hoey's profile →
Citations per field
00.5×3.4×
Tim Hoey · 1×
Citations per year

Countries citing papers authored by Jared Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Jared Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
CD133 expression is not restricted to stem cells, and both CD133+ and CD133– metastatic colon cancer cells initiate tumors
Hit paper breakdown →
2008766
2 2020177
3 202149
4 201846
5 202042
6 201736
7 202023
8 202213
9 201912
10 20245
11 20215
12 20254
13 20214
14 20251
15 20250

About Jared Kushner

Jared Kushner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Biotin and Related Studies (4 papers), Receptor Mechanisms and Signaling (4 papers), Click Chemistry and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Nuclear Structure and Function (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Oncology (633 citations), Cancer Research (178 citations), Cardiology and Cardiovascular Medicine (211 citations), Molecular Biology (635 citations) and Biotechnology (68 citations). Jared Kushner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Steven O. Marx, George D. Yancopoulos, Amy Chadburn, Ryan St Clair, Till Milde, Gavin Thurston, Jason M. Butler, Muhamed Baljević, Ian M. White and Andrew Murphy. Their work appears in journals such as Circulation Research, Journal of Clinical Investigation, JACC Basic to Translational Science, Human Molecular Genetics and Annual Review of Physiology.

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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