Maha Makki

65 papers receiving 1.1k citations

Maha Makki's Hit Papers

Mitigating infodemics: The relationship between news exposure and trust and belief in COVID-19 fake news and social media spreading 2021 · 120 citations
1200+1+3Years since publication4080120

Peers

Maha Makki
Comparison fields: 5 of 131
  • Management, Monitoring, Policy and Law 104
  • Health 60
  • Communication 53
  • Nephrology 49
  • Epidemiology 178
Replace Olena Zimba with:
Olena Zimba Ukraine
Robert Smith United States
Marlen Yessirkepov Kazakhstan
Patrick M. Wilson United States
Mona N. Fouad United States
Benjamin M. Craig United States
Sudhakar V. Nuti United States
Roberto Nardi Brazil
Isuru Ranasinghe Australia
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Maha Makki relative to Olena Zimba Ukraine Olena Zimba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maha Makki

Since Specialization
Citations

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

Fields of papers citing papers by Maha Makki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitigating infodemics: The relationship between news exposure and trust and belief in COVID-19 fake news and social media spreading
Hit paper breakdown →
2021120
2 2003118
3 2020110
4 201763
5 202055
6 202051
7 201943
8 202140
9 201824
10 201724
11 202022
12 202120
13 201920
14 201819
15 201919
16 202118
17 202018
18 201718
19 202117
20 202217

About Maha Makki

Maha Makki is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Breast Cancer Treatment Studies (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Misinformation and Its Impacts (3 papers), COVID-19 epidemiological studies (2 papers), Health and Medical Research Impacts (2 papers) and Smoking Behavior and Cessation (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (104 citations), Health (60 citations), Communication (53 citations), Nephrology (49 citations) and Epidemiology (178 citations). Maha Makki has collaborated with scholars based in Lebanon, United States and Saudi Arabia. Frequent co-authors include Hani Tamim, Saouma BouJaoude, Fouad Abd‐El‐Khalick, Dima Hadid, Jad Melki, Eveline Hitti, Gilbert Abou Dagher, Ralphe Bou Chebl, Eveline Hitti and Mabel Aoun. Their work appears in journals such as PLoS ONE, Frontiers in Medicine, The American Journal of Emergency Medicine, International Journal of Radiation Oncology*Biology*Physics and Journal of Emergency Medicine.

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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