I A MacNeil

1.1k total citations
9 papers, 902 citations indexed

About

I A MacNeil is a scholar working on Pharmacology, Immunology and Molecular Biology. According to data from OpenAlex, I A MacNeil has authored 9 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in I A MacNeil's work include Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and Glycosylation and Glycoproteins Research (1 paper). I A MacNeil is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and Glycosylation and Glycoproteins Research (1 paper). I A MacNeil collaborates with scholars based in United States, Finland and Australia. I A MacNeil's co-authors include Albert Zlotnik, Takeshi Suda, Kevin W. Moore, Tim R. Mosmann, Marcia S. Osburne, Paul R. August, Dawn Holt, Kari I. Kivirikko, Tarja Helaakoski and Kristina Vuori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

I A MacNeil

9 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I A MacNeil United States	8	410	334	130	119	96	9	902
Elżbieta Pajtasz‐Piasecka Poland	17	373 0.9×	282 0.8×	187 1.4×	64 0.5×	39 0.4×	59	760
Hyun‐Hee Shin South Korea	22	238 0.6×	538 1.6×	113 0.9×	121 1.0×	43 0.4×	35	962
Tadayoshi Taniyama Japan	17	310 0.8×	251 0.8×	179 1.4×	56 0.5×	21 0.2×	31	739
Latha Pathangey United States	16	444 1.1×	483 1.4×	323 2.5×	59 0.5×	220 2.3×	26	1.1k
Sudhir Sahdev India	11	214 0.5×	496 1.5×	75 0.6×	80 0.7×	20 0.2×	14	833
Christophe Losberger Switzerland	13	349 0.9×	423 1.3×	121 0.9×	39 0.3×	40 0.4×	13	962
Eve Barak Briles United States	10	210 0.5×	479 1.4×	72 0.6×	67 0.6×	25 0.3×	12	743
G. Kenneth Scott New Zealand	14	208 0.5×	429 1.3×	91 0.7×	70 0.6×	44 0.5×	51	800
Maria D.F.S. Barbosa United States	16	342 0.8×	453 1.4×	64 0.5×	40 0.3×	45 0.5×	24	959
Adolfo Soffientini Italy	18	241 0.6×	551 1.6×	196 1.5×	84 0.7×	81 0.8×	30	1.1k

Countries citing papers authored by I A MacNeil

Since Specialization

Citations

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

Fields of papers citing papers by I A MacNeil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I A MacNeil

This figure shows the co-authorship network connecting the top 25 collaborators of I A MacNeil. A scholar is included among the top collaborators of I A MacNeil 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 I A MacNeil. I A MacNeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Khan, Sameer Ullah, et al.. (2019). Abstract P3-10-15: Evaluating contribution of hyperactive c-Met and ErbB signaling to tumor progression in mouse breast tumor xenografts: An in vivo study of c-Met and ErbB targeted therapies. Cancer Research. 79(4_Supplement). P3–10. 1 indexed citations

MacNeil, I A, Paul R. August, Kara A. Loiacono, et al.. (2001). Expression and isolation of antimicrobial small molecules from soil DNA libraries.. PubMed. 3(2). 301–8. 145 indexed citations

August, Paul R., M P Draper, I A MacNeil, et al.. (2000). Sequence analysis and functional characterization of the violacein biosynthetic pathway from Chromobacterium violaceum.. PubMed. 2(4). 513–9. 115 indexed citations

MacNeil, I A, et al.. (1997). Protein tyrosine kinases Syk and ZAP-70 display distinct requirements for Src family kinases in immune response receptor signal transduction. The Journal of Immunology. 158(4). 1650–1659. 83 indexed citations

Helaakoski, Tarja, Pia Annunen, Kristina Vuori, et al.. (1995). Cloning, baculovirus expression, and characterization of a second mouse prolyl 4-hydroxylase alpha-subunit isoform: formation of an alpha 2 beta 2 tetramer with the protein disulfide-isomerase/beta subunit.. Proceedings of the National Academy of Sciences. 92(10). 4427–4431. 89 indexed citations

MacNeil, I A, Jacqueline Kennedy, Dale I. Godfrey, et al.. (1993). Isolation of a cDNA encoding thymic shared antigen-1. A new member of the Ly6 family with a possible role in T cell development.. The Journal of Immunology. 151(12). 6913–6923. 60 indexed citations

Fischer, Melissa A., I A MacNeil, Takashi Suda, et al.. (1991). Cytokine production by mature and immature thymocytes. The Journal of Immunology. 146(10). 3452–3456. 62 indexed citations

MacNeil, I A, Takeshi Suda, Kevin W. Moore, Tim R. Mosmann, & Albert Zlotnik. (1990). IL-10, a novel growth cofactor for mature and immature T cells.. The Journal of Immunology. 145(12). 4167–4173. 327 indexed citations

Webb, Susan R., et al.. (1985). T cell receptors for responses to Mls determinants and allo-H-2 determinants appear to be encoded on different chromosomes.. The Journal of Experimental Medicine. 161(1). 269–274. 20 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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