Jared Knol

485 citations
6 papers · 339 · h-index 4

Impact in

    • Cancer Genomics and Diagnostics
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting

Papers in

    • Genetic and Kidney Cyst Diseases 3
    • Genetic Syndromes and Imprinting 1
    • Machine Learning in Bioinformatics 1

Jared Knol

6 papers receiving 326 citations

Peers

Jared Knol
Comparison fields: 5 of 46
  • Cancer Research 76
  • Genetics 132
  • Pulmonary and Respiratory Medicine 118
  • Molecular Biology 196
  • Pathology and Forensic Medicine 42
Replace Lieke Gijezen with:
Lieke Gijezen Netherlands
V.J. Gnanapragasam United Kingdom
Wanguo Liu United States
Peter R. Carroll United States
M. Shi United States
Anna Johnson United States
Jutta Herbers Germany
Christine G. Hammerschmied Germany
Josep Maria de Anta Spain
Randala Hamdan United States
Jared Knol relative to Lieke Gijezen Netherlands Lieke Gijezen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jared Knol

Since Specialization
Citations

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

Fields of papers citing papers by Jared Knol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2008114
2 2004112
3 201486
4 200824
5 20082
6 20091

About Jared Knol

Jared Knol is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Spectroscopy and Endocrinology, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (3 papers), Mass Spectrometry Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Enterobacteriaceae and Cronobacter Research (1 paper), Renal cell carcinoma treatment (1 paper), Genetic Syndromes and Imprinting (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (76 citations), Genetics (132 citations), Pulmonary and Respiratory Medicine (118 citations), Molecular Biology (196 citations) and Pathology and Forensic Medicine (42 citations). Jared Knol has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Bin Tean Teh, Bart O. Williams, Chao-Nan Qian, Fangming Lin, Peter Igarashi, Kunihiko Futami, Brian Cao, Kyle Furge, David Petillo and Ping Zhao. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, The Oncologist, Journal of Biological Chemistry and Clinical Nutrition Supplements.

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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