Hani Shayya

544 citations
9 papers · 313 indexed · 2 hit papers · h-index 6

Impact in

Papers in

Hani Shayya

8 papers receiving 310 citations

Hit Papers

Amphiregulin from regulatory T cells promotes liver fibrosis and insulin resistance in non-alcoholic steatohepatitis 2024 · 53 citations
53202220262023202450100150

Peers

Hani Shayya
Comparison fields: 5 of 67
  • Sensory Systems 110
  • Developmental Neuroscience 37
  • Neurology 53
  • Neurology 75
  • Hepatology 18
Replace Moritz Klingenstein with:
Moritz Klingenstein Germany
Yongjie Zou China
Daniel Dumitru Banciu Romania
Junyan Gao China
Olena Kuksenko United States
Saskia Schmidt Germany
Kohei Nishida Japan
Griselda Rodríguez‐Martínez Mexico
Angelien Heister Netherlands
Hani Shayya relative to Moritz Klingenstein Germany Moritz Klingenstein's profile →
Citations per field
00.5×
Moritz Klingenstein · 1×
Citations per year

Countries citing papers authored by Hani Shayya

Since Specialization
Citations

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

Fields of papers citing papers by Hani Shayya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hani Shayya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hani Shayya Line = papers co-authored together Hani Shayya links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20250
2 20251
3
Amphiregulin from regulatory T cells promotes liver fibrosis and insulin resistance in non-alcoholic steatohepatitis
Hit paper breakdown →
202453
4 202225
5
Non-cell-autonomous disruption of nuclear architecture as a potential cause of COVID-19-induced anosmia
Hit paper breakdown →
2022168
6 20213
7 202120
8 201823
9 201720

About Hani Shayya

Hani Shayya is a scholar working on Developmental Neuroscience, Sensory Systems, Nutrition and Dietetics, Cancer Research and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 313 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neurobiology and Insect Physiology Research (2 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Sensory Systems (110 citations), Developmental Neuroscience (37 citations), Neurology (53 citations), Neurology (75 citations) and Hepatology (18 citations). Hani Shayya has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Stavros Lomvardas, Peter Canoll, John F. Fullard, Justin J. Frere, Marianna Zazhytska, Qizhi Gong, Stuart Firestein, Albana Kodra, Arina D. Omer and Benjamin R. tenOever. Their work appears in journals such as Cell, Cell Reports, Immunity, Nature Communications and Scientific Data.

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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