Elio Adib

2.7k citations
45 papers · 1.8k · 1 hit paper · h-index 20

Impact in

Papers in

Elio Adib

42 papers receiving 1.8k citations

Elio Adib's Hit Papers

Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter 2020 · 653 citations
6530+2+4Years since publication200400600

Peers

Elio Adib
Comparison fields: 5 of 110
  • Communication 137
  • Oncology 460
  • Health 118
  • Cancer Research 155
  • Pulmonary and Respiratory Medicine 316
Replace Joseph Abi Jaoude with:
Joseph Abi Jaoude United States
Dinorah Martinez Tyson United States
Zubin Master United States
Rebecca Robbins United States
Mark Morris Hammer United States
Manu Gupta India
Emanuela Sala Italy
Amy A. Ross United States
Alexandra J. Greenberg United States
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Elio Adib relative to Joseph Abi Jaoude United States Joseph Abi Jaoude's profile →
Citations per field
00.5×2×3×4.4×
Joseph Abi Jaoude · 1×
Citations per year

Countries citing papers authored by Elio Adib

Since Specialization
Citations

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

Fields of papers citing papers by Elio Adib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter
Hit paper breakdown →
2020653
2 2021162
3 2022106
4 202186
5 202284
6 202283
7 202253
8 202452
9 202350
10 202345
11 202144
12 202343
13 202139
14 202127
15 202227
16 202427
17 202125
18 202323
19 202121
20 202220

About Elio Adib

Elio Adib is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Surgery, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (5 papers), Epigenetics and DNA Methylation (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Genetic factors in colorectal cancer (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Communication (137 citations), Oncology (460 citations), Health (118 citations), Cancer Research (155 citations) and Pulmonary and Respiratory Medicine (316 citations). Elio Adib has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Amin H. Nassar, David J. Kwiatkowski, Basil S. Karam, Joseph Abi Jaoude, Jabra G. Zarka, Cindy Traboulsi, Molly Blue El Alam, Afif M. Kraitem, Ramez Kouzy and Khalil Baddour. Their work appears in journals such as Cancer Cell, JAMA Oncology, Clinical Genitourinary Cancer, JCO Precision Oncology and Journal of Thoracic Oncology.

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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