Emanuela Lacaná

2.1k citations
23 papers · 1.7k indexed · h-index 16
Topics
Cell death mechanisms and regulation (5 papers)Alzheimer's disease research and treatments (4 papers)Endoplasmic Reticulum Stress and Disease (4 papers)

In The Last Decade

Emanuela Lacaná

23 papers receiving 1.7k citations

Peers

Emanuela Lacaná
Comparison fields: 5 of 96
  • Molecular Biology 1.1k
  • Physiology 601
  • Cell Biology 375
  • Immunology 343
  • Cellular and Molecular Neuroscience 208
Replace Krzysztof Paliga with:
Krzysztof Paliga Germany
Haipeng Cheng China
Zahi Damuni United States
Guofu Fang United States
Trevor R. Pettitt United Kingdom
Brent J. Passer United States
Junji Kishino Japan
H. Peter Reusch Germany
Xu Bai United States
Karen A. West United States
Emanuela Lacaná relative to Krzysztof Paliga Germany Krzysztof Paliga's profile →
Citations per field
00.5×1.6×
Krzysztof Paliga · 1×
Citations per year

Countries citing papers authored by Emanuela Lacaná

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Lacaná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Lacaná

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Lacaná. A scholar is included among the top collaborators of Emanuela Lacaná 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 Emanuela Lacaná. Emanuela Lacaná 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 6
2 1
3 14
4 7
5 1
6 18
7 28
8 59
9 73
10 57
11 91
12 20
13 28
14 52
15 113
16 366
17 81
18 40
19 3
20
Immunochemical characterization of gp115, a yeast glycoprotein modulated by the cell cycle.
18

About Emanuela Lacaná

Emanuela Lacaná is a scholar working on Immunology, Physiology and Cell Biology, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Alzheimer's disease research and treatments (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Physiology (601 citations), Cell Biology (375 citations) and Immunology (343 citations). Emanuela Lacaná has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Luciano D'adamio, Pasquale Vito, J. Kelly Ganjei, Katsunori Iwasaki, Benjamin Wolozin, Wilma Wasco, Boyu Zhao, John W. Kusiak, Trey Sunderland and Sheldon Milstien. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Medicine.

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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