José L. Daniotti

2.7k citations
66 papers · 2.3k indexed · h-index 29
Topics
Glycosylation and Glycoproteins Research (51 papers)Cellular transport and secretion (25 papers)Lipid Membrane Structure and Behavior (14 papers)

In The Last Decade

José L. Daniotti

66 papers receiving 2.3k citations

Peers

José L. Daniotti
Comparison fields: 5 of 88
  • Molecular Biology 2.0k
  • Cell Biology 870
  • Immunology 504
  • Physiology 445
  • Organic Chemistry 229
Replace Hugo J. F. Maccioni with:
Hugo J. F. Maccioni Argentina
Eva E. Prieschl Austria
Richard N. Sifers United States
Taeko Miyagi Japan
Roy Katso United Kingdom
Etta Livneh Israel
Evan Ingley Australia
Florence Malisan Italy
Emily R. Eden United Kingdom
Yuhsuke Ohmi Japan
José L. Daniotti relative to Hugo J. F. Maccioni Argentina Hugo J. F. Maccioni's profile →
Citations per field
00.5×3.5×
Hugo J. F. Maccioni · 1×
Citations per year

Countries citing papers authored by José L. Daniotti

Since Specialization
Citations

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

Fields of papers citing papers by José L. Daniotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José L. Daniotti. 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 José L. Daniotti. The network helps show where José L. Daniotti may publish in the future.

Co-authorship network of co-authors of José L. Daniotti

This figure shows the co-authorship network connecting the top 25 collaborators of José L. Daniotti. A scholar is included among the top collaborators of José L. Daniotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José L. Daniotti. José L. Daniotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 30
3 4
4 11
5 68
6 15
7 3
8 43
9 25
10 30
11 23
12 3
13 10
14 73
15 8
16 22
17 34
18 32
19 40
20 32

About José L. Daniotti

José L. Daniotti is a scholar working on Cell Biology, Immunology and Molecular Biology, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (51 papers), Cellular transport and secretion (25 papers) and Lipid Membrane Structure and Behavior (14 papers). The work is most often cited by research in Cell Biology (870 citations), Molecular Biology (2.0k citations) and Immunology (504 citations). José L. Daniotti has collaborated with scholars based in Argentina, Brazil and United States. Frequent co-authors include Hugo J. F. Maccioni, Guillermo A. Gómez, José A. Martina, Pilar M. Crespo, Claudio G. Giraudo, Ramiro Iglesias‐Bartolomé, Tadashi Yamashita, Vanesa M. Tomatis, Hiroki Mizukami and Richard L. Proia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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