Derek Kennedy

107 papers receiving 4.0k citations

Peers

Derek Kennedy
Comparison fields: 5 of 133
  • Hepatology 281
  • Immunology 647
  • Biological Psychiatry 73
  • Nuclear and High Energy Physics 353
  • Molecular Biology 1.7k
Replace Fengchao Wang with:
Fengchao Wang China
Christopher D. Gregory United Kingdom
Daniel Medina United States
Jeffrey J. Babon Australia
Kevin P. Foley United States
Atsushi Kosugi Japan
Zhihai Qin China
Jean D. Sipe United States
Paolo Mascagni Italy
Derek Kennedy relative to Fengchao Wang China Fengchao Wang's profile →
Citations per field
00.5×3.1×
Fengchao Wang · 1×
Citations per year

Countries citing papers authored by Derek Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Derek Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990364
2 2004263
3 2012224
4 2007202
5 2012133
6 2014127
7 2004122
8 2000119
9 199690
10 201486
11 199185
12 200678
13 200171
14 200771
15 200266
16 201160
17
Identification and regional localization of DNA markers on chromosome 7 for the cloning of the cystic fibrosis gene.
198859
18 201852
19 199852
20 201652

About Derek Kennedy

Derek Kennedy is a scholar working on Molecular Biology, Epidemiology, Immunology, Hepatology and Oncology, having authored 107 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (27 papers), Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (14 papers), Immune Response and Inflammation (13 papers), RNA Research and Splicing (11 papers), Cystic Fibrosis Research Advances (8 papers), Lysosomal Storage Disorders Research (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Hepatology (281 citations), Immunology (647 citations), Biological Psychiatry (73 citations), Nuclear and High Energy Physics (353 citations) and Molecular Biology (1.7k citations). Derek Kennedy has collaborated with scholars based in Australia, Iran and United States. Frequent co-authors include Mohammad Kazemi Arababadi, Gholamhossein Hassanshahi, John S. Mattick, Johanna M. Rommens, J.R. Riordan, D. Markiewicz, Batsheva Kerem, Julian Zielenski, Dominique Bozon and Andreas Hoecker. Their work appears in journals such as Human Immunology, Cellular and Molecular Life Sciences, Molecular Genetics and Metabolism, Cytogenetic and Genome Research and The European Physical Journal C.

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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