Jacques Beaulaton

1.7k citations
25 papers · 1.4k · 1 hit paper · h-index 14

Impact in

Papers in

Jacques Beaulaton

25 papers receiving 1.3k citations

Jacques Beaulaton's Hit Papers

Programmed cell death 1974 · 775 citations
7750+17+34Years since publication250500750

Peers

Jacques Beaulaton
Comparison fields: 5 of 114
  • Aging 36
  • Cellular and Molecular Neuroscience 328
  • Insect Science 178
  • Immunology 273
  • Cell Biology 173
Replace Nina Lukinova with:
Nina Lukinova United States
Duri Rungger Switzerland
Young Sik Lee South Korea
Jyh‐Lyh Juang Taiwan
Zoltán Hegedüs Hungary
Jianyong Li China
Jeroen Poels Belgium
Philip D. Charles United Kingdom
Giuseppe Macino Italy
Elaine F. Corbett Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jacques Beaulaton

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Beaulaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Jacques Beaulaton, 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 Jacques Beaulaton Line = papers co-authored together Jacques Beaulaton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programmed cell death
Hit paper breakdown →
1974775
2 1977105
3 197472
4 197962
5 196855
6 196843
7 197430
8 197930
9 198928
10 197628
11 198127
12 198416
13 197814
14
[On the activity of enzymes at the level of nuclear pores and other structures of the prothoracic secretory cells embedded in epon].
196814
15 196811
16 196811
17 196811
18 198610
19 19778
20 19777

About Jacques Beaulaton

Jacques Beaulaton is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Insect Science, Immunology and Epidemiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (11 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect Utilization and Effects (5 papers), Autophagy in Disease and Therapy (5 papers), Silk-based biomaterials and applications (4 papers), Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Aging (36 citations), Cellular and Molecular Neuroscience (328 citations), Insect Science (178 citations), Immunology (273 citations) and Cell Biology (173 citations). Jacques Beaulaton has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Richard A. Lockshin, A. Ouali, Xavier Vignon, Pierre Cassier, Robert Schlichtig and P. Porcheron. Their work appears in journals such as Journal of Insect Physiology, Cellular and Molecular Life Sciences, The Journal of Cell Biology, Tissue and Cell and Biochimie.

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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