Mohamed M. Emara

2.9k citations
27 papers · 2.1k indexed · 1 hit paper · h-index 14

Mohamed M. Emara

24 papers receiving 2.1k citations

Hit Papers

Angiogenin-Induced tRNA Fragments Inhibit Translation Ini...7582011202620162021250500750

Peers

Mohamed M. Emara
Comparison fields: 5 of 106
  • Cancer Research 598
  • Molecular Biology 1.7k
  • Infectious Diseases 171
  • Virology 33
  • Immunology 130
Replace Matthew C. Biery with:
Matthew C. Biery United States
Junan Li United States
Jun Tang China
Linda Smith United Kingdom
Steffen Schubert Germany
Elaine Hanson United States
Yu-Chih Lo Taiwan
M. Nedim Ince United States
Sunil J. Advani United States
Gemma Serrano‐Heras Spain
Mohamed M. Emara relative to Matthew C. Biery United States Matthew C. Biery's profile →
Citations per field
00.5×4.8×
Matthew C. Biery · 1×
Citations per year

Countries citing papers authored by Mohamed M. Emara

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed M. Emara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed M. Emara. 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 Mohamed M. Emara. The network helps show where Mohamed M. Emara may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20232
5 20232
6 20234
7 20232
8 202216
9 202213
10 202118
11 201855
12 20184
13 201722
14 201733
15 2014117
16 201335
17 201310
18 201213
19
Angiogenin-Induced tRNA Fragments Inhibit Translation Initiationbreakdown →
2011758
20 2010398

About Mohamed M. Emara

Mohamed M. Emara is a scholar working on Aging, Infectious Diseases and Modeling and Simulation, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), COVID-19 Clinical Research Studies (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Cancer Research (598 citations), Molecular Biology (1.7k citations) and Infectious Diseases (171 citations). Mohamed M. Emara has collaborated with scholars based in Qatar, Egypt and United States. Frequent co-authors include Paul Anderson, Pavel Ivanov, Judit Villén, Steven P. Gygi, Nancy Kedersha, Guo-fu Hu, Tyler Hickman, Sarah Tisdale, Judy Lieberman and Gerhard Wagner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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