Raiees Andrabi

5.0k citations
45 papers · 1.2k indexed · 1 hit paper · h-index 18

Raiees Andrabi

43 papers receiving 1.2k citations

Hit Papers

A pseudovirus system enables deep mutational scanning of ...852023202620242025255075

Peers

Raiees Andrabi
Comparison fields: 5 of 58
  • Virology 674
  • Infectious Diseases 434
  • Immunology 398
  • Radiology, Nuclear Medicine and Imaging 343
  • Molecular Biology 569
Replace Matthias Pauthner with:
Matthias Pauthner United States
Alba Torrents de la Peña United States
Claudia Blattner Netherlands
Kshitij Wagh United States
Rajesh P. Ringe India
Norbert Schuelke United States
Christa Tauer Austria
Gemma E. Seabright United Kingdom
Jacob Korzun United States
Constantinos Kurt Wibmer South Africa
Raiees Andrabi relative to Matthias Pauthner United States Matthias Pauthner's profile →
Citations per field
00.5×1.6×
Matthias Pauthner · 1×
Citations per year

Countries citing papers authored by Raiees Andrabi

Since Specialization
Citations

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

Fields of papers citing papers by Raiees Andrabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202318
3 202318
4 202328
5 202248
6 202217
7 20220
8 202214
9 20201
10 201913
11 201886
12 201742
13 201512
14 20146
15 201315
16 20128
17 20124
18 20117
19 20119
20 20106

About Raiees Andrabi

Raiees Andrabi is a scholar working on Virology, Infectious Diseases and Immunology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), HIV/AIDS drug development and treatment (8 papers), Immune Cell Function and Interaction (6 papers), vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (674 citations), Infectious Diseases (434 citations) and Immunology (398 citations). Raiees Andrabi has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Dennis R. Burton, Devin Sok, James E. Voss, Matthias Pauthner, Andrew B. Ward, Jinal N. Bhiman, Laura E. McCoy, James C. Paulson, Bryan Briney and C. Jason Liang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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