Makda S. Gebre

6.8k citations
12 papers · 586 indexed · 1 hit paper · h-index 10

Makda S. Gebre

12 papers receiving 569 citations

Hit Papers

Novel approaches for vaccine development220202120262022202450100150200

Peers

Makda S. Gebre
Comparison fields: 5 of 77
  • Infectious Diseases 292
  • Immunology 129
  • Public Health, Environmental and Occupational Health 121
  • Animal Science and Zoology 40
  • Oncology 105
Replace Erika Garner‐Spitzer with:
Erika Garner‐Spitzer Austria
Thomas W. Kenniston United States
Lyn M. O’Brien United Kingdom
Adam Hage United States
Michelle Meyer United States
J. Joseph Kim United States
Baoling Ying United States
Tjarko Meijerhof Netherlands
Kyra D. Zens Switzerland
Vladislav V. Mokhonov Russia
Makda S. Gebre relative to Erika Garner‐Spitzer Austria Erika Garner‐Spitzer's profile →
Citations per field
00.5×1.5×2.0×
Erika Garner‐Spitzer · 1×
Citations per year

Countries citing papers authored by Makda S. Gebre

Since Specialization
Citations

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

Fields of papers citing papers by Makda S. Gebre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Makda S. Gebre. 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 Makda S. Gebre. The network helps show where Makda S. Gebre may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 202214
2 20226
3
Novel approaches for vaccine developmentbreakdown →
2021220
4 202151
5 20212
6 202024
7 20209
8 202084
9 201911
10 201823
11 2016127
12 201615

About Makda S. Gebre

Makda S. Gebre is a scholar working on Infectious Diseases, Animal Science and Zoology and Microbiology, having authored 12 papers that have together received 586 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), Cytomegalovirus and herpesvirus research (2 papers), vaccines and immunoinformatics approaches (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (292 citations), Immunology (129 citations) and Public Health, Environmental and Occupational Health (121 citations). Makda S. Gebre has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Dan H. Barouch, Lisa H. Tostanoski, Andrea Carfı́, Darin K. Edwards, Luis A. Brito, Benjamin E. Gewurz, Justin G. Julander, Ray Taylor, John D. Morrey and William Sheridan. Their work appears in journals such as Cell, Molecular Cell and Journal of Virology.

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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