A. M. Abai

1.2k total citations
11 papers, 1.0k citations indexed

About

A. M. Abai is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, A. M. Abai has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in A. M. Abai's work include Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). A. M. Abai is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). A. M. Abai collaborates with scholars based in United States, United Kingdom and Hungary. A. M. Abai's co-authors include Suezanne E. Parker, Michelle A. Yankauckas, Denise Lew, S H Gromkowski, Eytan Raz, Tyler Parr, Manmohan Singh, Dennis A. Carson, Gerald Aichinger and Stanislaw H. Gromkowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Vaccine and Journal of Immunological Methods.

In The Last Decade

A. M. Abai

11 papers receiving 958 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. M. Abai United States 9 512 468 247 240 153 11 1.0k
Michael D. Macklin United States 21 535 1.0× 547 1.2× 386 1.6× 176 0.7× 184 1.2× 34 1.4k
H. L. Davis Canada 11 569 1.1× 332 0.7× 329 1.3× 128 0.5× 160 1.0× 12 968
K Okuda Japan 24 862 1.7× 642 1.4× 261 1.1× 177 0.7× 179 1.2× 66 1.7k
Philip J. Troilo United States 11 364 0.7× 579 1.2× 147 0.6× 212 0.9× 248 1.6× 17 992
Minchao Chen United States 7 645 1.3× 507 1.1× 210 0.9× 144 0.6× 266 1.7× 9 1.1k
W. Scott Gallichan Canada 13 698 1.4× 208 0.4× 486 2.0× 322 1.3× 191 1.2× 14 1.2k
Barbara Doe United States 15 823 1.6× 627 1.3× 277 1.1× 167 0.7× 286 1.9× 25 1.4k
V. Juillard France 17 245 0.5× 284 0.6× 171 0.7× 323 1.3× 234 1.5× 21 875
Gerald Aichinger Austria 19 647 1.3× 336 0.7× 397 1.6× 155 0.6× 254 1.7× 31 1.2k
C. Andréoni France 17 209 0.4× 263 0.6× 207 0.8× 168 0.7× 249 1.6× 32 859

Countries citing papers authored by A. M. Abai

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Abai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. M. Abai

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Abai. A scholar is included among the top collaborators of A. M. Abai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. M. Abai. A. M. Abai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Abai, A. M., Larry Smith, & Mary K. Wloch. (2007). Novel microneutralization assay for HCMV using automated data collection and analysis. Journal of Immunological Methods. 322(1-2). 82–93. 20 indexed citations
2.
Hasan, Uzma, A. M. Abai, David R. Harper, Brendan W. Wren, & W J Morrow. (1999). Nucleic acid immunization: concepts and techniques associated with third generation vaccines. Journal of Immunological Methods. 229(1-2). 1–22. 83 indexed citations
4.
Abai, A. M., Peter Hobart, & Kerry M. Barnhart. (1999). Insulin Delivery with Plasmid DNA. Human Gene Therapy. 10(16). 2637–2649. 31 indexed citations
5.
Saffran, Douglas C., Holly M. Horton, Michelle A. Yankauckas, et al.. (1999). Immunotherapy of established tumors in mice by intratumoral injection of interleukin-2 plasmid DNA: induction of CD8+ T-cell immunity.. PubMed. 5(5). 321–30. 36 indexed citations
6.
Lew, Denise, Suezanne E. Parker, A. M. Abai, et al.. (1995). Cancer Gene Therapy Using Plasmid DNA: Pharmacokinetic Study of DNA Following Injection in Mice. Human Gene Therapy. 6(5). 553–564. 179 indexed citations
7.
Raz, Eytan, Dennis A. Carson, Suezanne E. Parker, et al.. (1994). Intradermal gene immunization: the possible role of DNA uptake in the induction of cellular immunity to viruses.. Proceedings of the National Academy of Sciences. 91(20). 9519–9523. 469 indexed citations
8.
Rhodes, Gary, A. M. Abai, M Margalith, et al.. (1994). Characterization of humoral immunity after DNA injection.. PubMed. 82. 229–36. 20 indexed citations
9.
Yankauckas, Michelle A., Jane Morrow, Suezanne E. Parker, et al.. (1993). Long-Term Anti-Nucleoprotein Cellular and Humoral Immunity Is Induced by Intramuscular Injection of Plasmid DNA Containing NP Gene. DNA and Cell Biology. 12(9). 771–776. 127 indexed citations
10.
Abai, A. M. & B. Fekete. (1982). Immunological monitoring in lung cancer: use of the leukocyte migration inhibition assay.. PubMed. 15(1). 111–25. 1 indexed citations
11.
Abai, A. M., et al.. (1974). Eine neuere Methode zur quantitativen Bestimmung der Pangamins�ure (Vitamin B15). European Food Research and Technology. 154(5). 257–261. 2 indexed citations

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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