Feria Hikmet

2.5k citations
12 papers · 822 indexed · 1 hit paper · h-index 9
Topics
Glycosylation and Glycoproteins Research (2 papers)Single-cell and spatial transcriptomics (2 papers)Chronic Kidney Disease and Diabetes (2 papers)
Partner nations
SwedenFranceNorway

In The Last Decade

Feria Hikmet

12 papers receiving 813 citations

Hit Papers

The protein expression profile of ACE2 in human tissues20202026202220242020200400600

Peers

Feria Hikmet
Comparison fields: 5 of 90
  • Infectious Diseases 492
  • Molecular Biology 203
  • Neurology 189
  • Immunology 92
  • Obstetrics and Gynecology 89
Replace Javier Carbajo-Lozoya with:
Javier Carbajo-Lozoya Germany
Loren Méar Sweden
Bandar A. Suliman Saudi Arabia
Stephany Beyerstedt Brazil
Filippo Scialò Italy
Lohanna Palhinha Brazil
Shaghayegh Khanmohammadi Iran
Michael A. Yarski Australia
Jiawei Chen China
Xiaoguang Xu China
Feria Hikmet relative to Javier Carbajo-Lozoya Germany Javier Carbajo-Lozoya's profile →
Citations per field
00.5×1.5×
Javier Carbajo-Lozoya · 1×
Citations per year

Countries citing papers authored by Feria Hikmet

Since Specialization
Citations

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

Fields of papers citing papers by Feria Hikmet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feria Hikmet

This figure shows the co-authorship network connecting the top 25 collaborators of Feria Hikmet. A scholar is included among the top collaborators of Feria Hikmet 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 Feria Hikmet. Feria Hikmet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 9
2 4
3 13
4 7
5 16
6
The protein expression profile of ACE2 in human tissuesbreakdown →
675
7 7
8 33
9 25
10 13
11 12
12 8

About Feria Hikmet

Feria Hikmet is a scholar working on Nephrology, Cancer Research and Obstetrics and Gynecology, having authored 12 papers that have together received 822 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Infectious Diseases (492 citations), Neurology (189 citations) and Obstetrics and Gynecology (89 citations). Feria Hikmet has collaborated with scholars based in Sweden, France and Norway. Frequent co-authors include Cecilia Lindskog, Mathias Uhlén, Loren Méar, Patrick Micke, Åsa Edvinsson, Charles Pineau, Per Oksvold, Anders Larsson, Mats Flodin and Azita Sohrabian. Their work appears in journals such as Molecular & Cellular Proteomics, Neurobiology of Disease and Journal of Proteome Research.

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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