M. Aboud

649 citations
43 papers · 584 · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • T-cell and Retrovirus Studies
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

M. Aboud

42 papers receiving 498 citations

Peers

M. Aboud
Comparison fields: 5 of 57
  • Virology 102
  • Immunology 235
  • Agronomy and Crop Science 106
  • Genetics 158
  • Ecology, Evolution, Behavior and Systematics 88
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by M. Aboud

Since Specialization
Citations

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

Fields of papers citing papers by M. Aboud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199463
2 199045
3
Relationship between human T cell leukemia virus-II and atypical hairy cell leukemia: a serologic study of hairy cell leukemia patients.
198742
4 197637
5 198232
6 197532
7 199130
8 197025
9 198321
10 197821
11 198318
12 198117
13 197916
14
Role of natural killer cells in controlling local tumor formation and metastatic manifestation of different 3LL Lewis lung carcinoma cell clones.
199315
15 199314
16 198014
17 198113
18 198712
19 197911
20 198010

About M. Aboud

M. Aboud is a scholar working on Molecular Biology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Virology, having authored 43 papers that have together received 584 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Virus-based gene therapy research (9 papers), T-cell and Retrovirus Studies (7 papers), HIV Research and Treatment (7 papers), Animal Disease Management and Epidemiology (6 papers), Immune Cell Function and Interaction (5 papers), Vector-Borne Animal Diseases (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Virology (102 citations), Immunology (235 citations), Agronomy and Crop Science (106 citations), Genetics (158 citations) and Ecology, Evolution, Behavior and Systematics (88 citations). M. Aboud has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Samuel Salzberg, Martin Löchelt, Rolf M. Flügel, M. Burger, Mahmoud Huleihel, S. Segal, Ira Pastan, Mary Bakhanashvili, O Weiss and Joseph D. Rosenblatt. Their work appears in journals such as Journal of Virology, Archives of Virology, Journal of General Virology, Biochemical and Biophysical Research Communications and Infection and Immunity.

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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