Hashim Ali

2.7k citations
35 papers · 1.8k indexed · 2 hit papers · h-index 16

Hashim Ali

31 papers receiving 1.7k citations

Hit Papers

Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike...2812019202620212023100200300

Peers

Hashim Ali
Comparison fields: 5 of 107
  • Virology 244
  • Infectious Diseases 549
  • Molecular Biology 963
  • Cancer Research 178
  • Cardiology and Cardiovascular Medicine 241
Replace Giuseppe Mameli with:
Giuseppe Mameli Italy
Kathleen Börner Germany
Agustı́n Valenzuela-Fernández Spain
Fei Ye China
Yfat Yahalom-Ronen Israel
Qiana L. Matthews United States
Michael Geißler Germany
René Daniel United States
Alessandra Franco United States
Sinéad E. Keating Ireland
Hashim Ali relative to Giuseppe Mameli Italy Giuseppe Mameli's profile →
Citations per field
00.5×4.2×
Giuseppe Mameli · 1×
Citations per year

Countries citing papers authored by Hashim Ali

Since Specialization
Citations

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

Fields of papers citing papers by Hashim Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20242
4 20239
5 20234
6 20236
7 20236
8
Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytiabreakdown →
2021281
9 202068
10 2020233
11 202011
12 2020101
13 201938
14
MicroRNA therapy stimulates uncontrolled cardiac repair after myocardial infarction in pigsbreakdown →
2019355
15 201988
16 20172
17 201731
18 2015235
19 201381
20 201116

About Hashim Ali

Hashim Ali is a scholar working on Virology, Infectious Diseases, Animal Science and Zoology, Cancer Research and Molecular Biology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Congenital heart defects research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (4 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Immunology Research (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Virology (244 citations), Infectious Diseases (549 citations), Molecular Biology (963 citations), Cancer Research (178 citations) and Cardiology and Cardiovascular Medicine (241 citations). Hashim Ali has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mauro Giacca, Luca Braga, Chiara Collesi, Ilaria Secco, Rossana Bussani, Lorena Zentilin, Gianfranco Sinagra, Serena Zacchigna, Marina Lušić and Antonio Cannatà. Their work appears in journals such as Nature, Circulation Research, Cardiovascular Research, EBioMedicine and Cell Death Discovery.

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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