Ken Raj

2.2k citations
26 papers · 708 · h-index 18

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

Ken Raj

26 papers receiving 701 citations

Peers

Ken Raj
Comparison fields: 5 of 106
  • Aging 88
  • Molecular Biology 375
  • Endocrine and Autonomic Systems 32
  • Radiology, Nuclear Medicine and Imaging 104
  • Genetics 129
Replace Robert T. Brooke with:
Robert T. Brooke United States
Koji Nakabayashi Japan
Jun‐ichiro Komura Japan
Carola I. Weidner Germany
Carole A. Stagg United States
Sun-Kyung Lee South Korea
Magdalena Spólnicka Poland
Marco Sazzini Italy
Jesse Ingels United States
Christine K. Ratajczak United States
Ken Raj relative to Robert T. Brooke United States Robert T. Brooke's profile →
Citations per field
00.5×10.4×
Robert T. Brooke · 1×
Citations per year

Countries citing papers authored by Ken Raj

Since Specialization
Citations

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

Fields of papers citing papers by Ken Raj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 202149
3 202048
4 202245
5 201744
6 202140
7 201935
8 202134
9 202134
10 201734
11 202233
12 202132
13 202129
14 202129
15 202422
16 202021
17 201721
18 201721
19 201613
20 202112

About Ken Raj

Ken Raj is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Genetics and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 708 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Effects of Radiation Exposure (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genetic Syndromes and Imprinting (3 papers), Birth, Development, and Health (3 papers), Identity, Memory, and Therapy (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Aging (88 citations), Molecular Biology (375 citations), Endocrine and Autonomic Systems (32 citations), Radiology, Nuclear Medicine and Imaging (104 citations) and Genetics (129 citations). Ken Raj has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Steve Horvath, Amin Haghani, Joseph A. Zoller, Howard Cohen, Caesar Z. Li, Sylwia Kabacik, Ake T. Lu, Donna Lowe, Sarah Felton and Todd R. Robeck. Their work appears in journals such as GeroScience, Scientific Reports, International Journal of Radiation Biology, Aging Cell and Nature Communications.

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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