Jean Sippy

829 citations
22 papers · 606 · h-index 12

Impact in

  • Ecology top 5%
    • Bacteriophages and microbial interactions
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics

Papers in

    • Bacteriophages and microbial interactions 20
    • RNA and protein synthesis mechanisms 10
    • Genomics and Phylogenetic Studies 5
    • RNA Interference and Gene Delivery 3

Jean Sippy

22 papers receiving 602 citations

Peers

Jean Sippy
Comparison fields: 5 of 57
  • Ecology 424
  • Genetics 253
  • Molecular Medicine 42
  • Endocrinology 38
  • Molecular Biology 431
Replace Kanika Khanna with:
Kanika Khanna United States
Laurie P. Cooper United Kingdom
Ida Steinberger-Levy Israel
Maarten C. Noom Netherlands
Anne‐Sophie Delattre France
Chantal K. Guegler United States
Natacha Opalka United States
Joseph Sugie United States
Evgeny Klimuk Russia
Sam Meyer France
Jean Sippy relative to Kanika Khanna United States Kanika Khanna's profile →
Citations per field
00.5×7.3×
Kanika Khanna · 1×
Citations per year

Countries citing papers authored by Jean Sippy

Since Specialization
Citations

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

Fields of papers citing papers by Jean Sippy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010189
2 200280
3 201158
4 200938
5 198536
6 198531
7 199229
8 201628
9 201025
10 198318
11 200415
12 201813
13 201911
14 20148
15 20097
16 19997
17 20175
18 20153
19 20192
20 20161

About Jean Sippy

Jean Sippy is a scholar working on Ecology, Molecular Biology, Genetics, Plant Science and Epidemiology, having authored 22 papers that have together received 606 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (20 papers), Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (10 papers), Plant Virus Research Studies (9 papers), Genomics and Phylogenetic Studies (5 papers), RNA Interference and Gene Delivery (3 papers), Evolution and Genetic Dynamics (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Ecology (424 citations), Genetics (253 citations), Molecular Medicine (42 citations), Endocrinology (38 citations) and Molecular Biology (431 citations). Jean Sippy has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Michael Feiss, Chenghang Zong, Samuel O. Skinner, Lanying Zeng, Ido Golding, Douglas E. Smith, Carlos E. Catalano, Susan Frackman, Timothy J. Johnson and Steven Clegg. Their work appears in journals such as Journal of Molecular Biology, Virology, Journal of Bacteriology, Molecular Microbiology and PLoS ONE.

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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