Emma Assi

2.2k citations
38 papers · 1.7k · 2 hit papers · h-index 23

Impact in

Papers in

Emma Assi

37 papers receiving 1.7k citations

Emma Assi's Hit Papers

The anti-inflammatory and immunological properties of GLP-1 Receptor Agonists 2022 · 293 citations
2930+1+3Years since publication100200300

Peers

Emma Assi
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 380
  • Infectious Diseases 238
  • Neurology 146
  • Immunology 178
  • Physiology 40
Replace Vera Usuelli with:
Vera Usuelli Italy
Ellen A. Bernstein United States
Jaime A. Riquelme Chile
Florian Gembardt Germany
Wen Kong China
Yagna P. R. Jarajapu United States
Jørn Vegard Sagen Norway
Takuhiro Sonoyama Japan
Silvia Heringer‐Walther Germany
Yoshitake Cho United States
Emma Assi relative to Vera Usuelli Italy Vera Usuelli's profile →
Citations per field
00.5×1.5×
Vera Usuelli · 1×
Citations per year

Countries citing papers authored by Emma Assi

Since Specialization
Citations

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

Fields of papers citing papers by Emma Assi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma Assi, 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 Emma Assi Line = papers co-authored together Emma Assi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Acute and long-term disruption of glycometabolic control after SARS-CoV-2 infection
Hit paper breakdown →
2021308
2
The anti-inflammatory and immunological properties of GLP-1 Receptor Agonists
Hit paper breakdown →
2022293
3 2013103
4 202471
5 201465
6 202164
7 201060
8 202149
9 201344
10 202144
11 201342
12 201342
13 202240
14 202039
15 202237
16 201537
17 201636
18 202035
19 202334
20 202031

About Emma Assi

Emma Assi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Immunology and Physiology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers), Sphingolipid Metabolism and Signaling (6 papers), Diabetes Management and Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Adenosine and Purinergic Signaling (3 papers), Diabetes Treatment and Management (3 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (380 citations), Infectious Diseases (238 citations), Neurology (146 citations), Immunology (178 citations) and Physiology (40 citations). Emma Assi has collaborated with scholars based in Italy, United States and Egypt. Frequent co-authors include Emilio Clementi, Cristiana Perrotta, Clara De Palma, Davide Cervia, Paolo Fiorina, Moufida Ben Nasr, Cristian Loretelli, Gianvincenzo Zuccotti, Francesca D’Addio and Ida Pastore. Their work appears in journals such as Pharmacological Research, Diabetes, Frontiers in Immunology, Oncotarget and Acta Diabetologica.

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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