J E Darnell

651 citations
8 papers · 574 · h-index 8

Impact in

    • interferon and immune responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 1
    • Cytokine Signaling Pathways and Interactions 2

J E Darnell

8 papers receiving 566 citations

Peers

J E Darnell
Comparison fields: 5 of 56
  • Immunology 215
  • Oncology 256
  • Endocrinology, Diabetes and Metabolism 75
  • Genetics 124
  • Cancer Research 62
Replace Cynthia A. Edwards with:
Cynthia A. Edwards United States
Masaji Kikukawa Japan
Jonathan T. Beech United Kingdom
Diane Hamel Canada
Talia Sher Israel
Florencia Cano United Kingdom
David S. Neufeld United States
Elizabeth Hardon Germany
Susan R. Cordle United States
D Führer United States
J E Darnell relative to Cynthia A. Edwards United States Cynthia A. Edwards's profile →
Citations per field
00.5×
Cynthia A. Edwards · 1×
Citations per year

Countries citing papers authored by J E Darnell

Since Specialization
Citations

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

Fields of papers citing papers by J E Darnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E Darnell. 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 J E Darnell. The network helps show where J E Darnell may publish in the future.

Co-authors

The 17 scholars most cited alongside J E Darnell, 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 J E Darnell Line = papers co-authored together J E Darnell links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1996132
2 1988114
3 199595
4 199666
5 199157
6 199451
7 199148
8 199211

About J E Darnell

J E Darnell is a scholar working on Molecular Biology, Oncology, Genetics, Surgery and Immunology, having authored 8 papers that have together received 574 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), interferon and immune responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Metabolism and Genetic Disorders (1 paper), MicroRNA in disease regulation (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (215 citations), Oncology (256 citations), Endocrinology, Diabetes and Metabolism (75 citations), Genetics (124 citations) and Cancer Research (62 citations). J E Darnell has collaborated with scholars based in United States and Sweden. Frequent co-authors include Curt M. Horvath, Nancy C. Reich, Richard Pine, David T. Levy, Jovan Mirkovitch, Hong Luo, Riqiang Yan, Charles R. Dearolf, Z Zhong and Peter Rotwein. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Genes & Development, Molecular Endocrinology and European Journal of Biochemistry.

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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