I A MacNeil

16 total papers · 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 Cancer, Stress, Anesthesia, and Immune Response (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 Cancer, Stress, Anesthesia, and Immune Response (1 paper). I A MacNeil collaborates with scholars based in United States, Australia and Finland. I A MacNeil's co-authors include Albert Zlotnik, Takeshi Suda, Kevin W. Moore, Tim R. Mosmann, Dawn Holt, Paul R. August, Marcia S. Osburne, Pia Annunen, Kari I. Kivirikko 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
I A MacNeil	410	334	130	119	96	9	902
Eve Barak Briles	210 0.5×	479 1.4×	72 0.6×	67 0.6×	25 0.3×	12	743
Theresa Wood	343 0.8×	366 1.1×	37 0.3×	57 0.5×	52 0.5×	13	836
L.Vincent Collins	399 1.0×	467 1.4×	68 0.5×	35 0.3×	21 0.2×	9	988
Sudhir Sahdev	214 0.5×	495 1.5×	75 0.6×	80 0.7×	19 0.2×	14	831
Michael Manneberg	188 0.5×	454 1.4×	77 0.6×	41 0.3×	45 0.5×	18	822
Christophe Losberger	348 0.8×	422 1.3×	121 0.9×	39 0.3×	40 0.4×	13	959
Gary A. Beaudry	166 0.4×	594 1.8×	142 1.1×	35 0.3×	44 0.5×	18	970
Rebecca Mathew	404 1.0×	476 1.4×	110 0.8×	30 0.3×	99 1.0×	20	1.0k
Pascal Leplatois	528 1.3×	286 0.9×	119 0.9×	40 0.3×	26 0.3×	11	962
Clinton E. Leysath	227 0.6×	621 1.9×	144 1.1×	104 0.9×	17 0.2×	20	1.0k

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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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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