Latifa Bakiri

5.8k total citations · 1 hit paper
79 papers, 4.2k citations indexed

About

Latifa Bakiri is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Latifa Bakiri has authored 79 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 29 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Latifa Bakiri's work include Cytokine Signaling Pathways and Interactions (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (8 papers). Latifa Bakiri is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (8 papers). Latifa Bakiri collaborates with scholars based in Austria, Spain and Germany. Latifa Bakiri's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Latifa Bakiri

75 papers receiving 4.1k citations

Hit Papers

Calprotectin: from biomarker to biological function 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Latifa Bakiri
Comparison fields: 5 of 121
  • Molecular Biology 2.5k
  • Oncology 1.0k
  • Cancer Research 799
  • Immunology 699
  • Epidemiology 473
Replace Frank Eßmann with:
Frank Eßmann Germany
Youngkyu Park South Korea
Yaoqin Gong China
Gong Yang China
Amar B. Singh United States
Edoardo Alesse Italy
Francesca Zazzeroni Italy
Yun‐Yong Park South Korea
Jiyong Liang United States
Camilla Evangelisti Italy
Frank Eßmann Germany View profile →
Citations per field, relative to Latifa Bakiri
Latifa Bakiri · 1×
Citations per year, relative to Latifa Bakiri
Latifa Bakiri · 1×

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
# Work Indexed 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 function breakdown →
274
12 82
13 96
14 159
15 114
16 57
17 31
18 151
19 13
20 80

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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