Jean Spence

1.6k citations
15 papers · 1.4k · h-index 10

Impact in

    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • RNA and protein synthesis mechanisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA and protein synthesis mechanisms 3
    • Glycosylation and Glycoproteins Research 2
    • RNA Research and Splicing 2
    • Genomics and Phylogenetic Studies 2
    • Bacteriophages and microbial interactions 5

Jean Spence

15 papers receiving 1.3k citations

Peers

Jean Spence
Comparison fields: 5 of 81
  • Molecular Biology 1.1k
  • Cell Biology 192
  • Biotechnology 96
  • Genetics 282
  • Oncology 232
Replace Aparna V. Sarthy with:
Aparna V. Sarthy United States
Masumi Hidaka Japan
Barbara Kramer Germany
Pascale Duplay Canada
Thomas P. St. John United States
June V. Harriss United States
Catherine M. Houck United States
Jean‐Pierre Rousset France
M A Hutchinson United States
F. Perrin France
Jean Spence relative to Aparna V. Sarthy United States Aparna V. Sarthy's profile →
Citations per field
00.5×1.7×
Aparna V. Sarthy · 1×
Citations per year

Countries citing papers authored by Jean Spence

Since Specialization
Citations

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

Fields of papers citing papers by Jean Spence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1995457
2 2000325
3 2007228
4 1985160
5 200847
6 197940
7 198737
8 200626
9 198317
10 198413
11 19836
12 19785
13 20124
14 20092
15 19842

About Jean Spence

Jean Spence is a scholar working on Molecular Biology, Ecology, Genetics, Epidemiology and Cell Biology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Ubiquitin and proteasome pathways (4 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Herpesvirus Infections and Treatments (2 papers), RNA Research and Splicing (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (192 citations), Biotechnology (96 citations), Genetics (282 citations) and Oncology (232 citations). Jean Spence has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Daniel Finley, Seth Sadis, Arthur L. Haas, Fred Sherman, Michael Karin, Rayappa R. Gali, Daniel Finley, Gunnar Dittmar, K Trach and Franco Ferrari. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Nature Biotechnology, Gene and The Journal of Immunology.

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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