Latifa Bakiri

5.8k citations
79 papers · 4.2k indexed · 1 hit paper · h-index 37
Topics
Cytokine Signaling Pathways and Interactions (10 papers)Ubiquitin and proteasome pathways (8 papers)Cancer-related Molecular Pathways (8 papers)
Partner nations
AustriaSpainGermany

In The Last Decade

Latifa Bakiri

75 papers receiving 4.1k citations

Hit Papers

Calprotectin: from biomarker to biological function2021202620222024202150100150200250

Peers

Latifa Bakiri
Comparison fields: 5 of 121
  • Molecular Biology 2.5k
  • Oncology 1.0k
  • Cancer Research 799
  • Immunology 699
  • Epidemiology 473
Replace Yaoqin Gong with:
Yaoqin Gong China
Deborah Stroka Switzerland
Frank Eßmann Germany
Hidetoshi Hayashi Japan
Stéphane Garcia France
Mitsuhiko Osaki Japan
Mario P. Tschan Switzerland
Ginette Serrero United States
Frédéric Luciano France
Gerardo Ferbeyre Canada
Latifa Bakiri relative to Yaoqin Gong China Yaoqin Gong's profile →
Citations per field
00.5×6.3×
Yaoqin Gong · 1×
Citations per year

Countries citing papers authored by Latifa Bakiri

Since Specialization
Citations

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

Fields of papers citing papers by Latifa Bakiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latifa Bakiri

This figure shows the co-authorship network connecting the top 25 collaborators of Latifa Bakiri. A scholar is included among the top collaborators of Latifa Bakiri 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 Latifa Bakiri. Latifa Bakiri 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 0
2 0
3 0
4 1
5 1
6 1
7 3
8 11
9 29
10 34
11
Calprotectin: from biomarker to biological functionbreakdown →
274
12 82
13 96
14 159
15 114
16 57
17 31
18 151
19 13
20 80

About Latifa Bakiri

Latifa Bakiri is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 79 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (799 citations), Geriatrics and Gerontology (170 citations) and Oncology (1.0k citations). Latifa Bakiri has collaborated with scholars based in Austria, Spain and Germany. Frequent co-authors include Erwin F. Wagner, Lijian Hui, Harald Scheuch, Sebastian C. Hasenfuss, Timon E. Adolph, Herbert Tilg, Almina Jukic, Martin K. Thomsen, Moshé Yaniv and Michael Amling. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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