Phillip R. Morrow

41 total papers · 839 total citations
22 papers, 578 citations indexed

About

Phillip R. Morrow is a scholar working on Language and Linguistics, Literature and Literary Theory and Immunology. According to data from OpenAlex, Phillip R. Morrow has authored 22 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Language and Linguistics, 7 papers in Literature and Literary Theory and 6 papers in Immunology. Recurrent topics in Phillip R. Morrow's work include Animal Nutrition and Physiology (4 papers), Multilingual Education and Policy (4 papers) and Second Language Learning and Teaching (4 papers). Phillip R. Morrow is often cited by papers focused on Animal Nutrition and Physiology (4 papers), Multilingual Education and Policy (4 papers) and Second Language Learning and Teaching (4 papers). Phillip R. Morrow collaborates with scholars based in United States, Japan and Canada. Phillip R. Morrow's co-authors include Hans Abplanalp, John Tamerius, William P. Kolb, Angray S. Kang, W. Elwood Briles, Leonard W. Pollard, Rebecca Nedellec, Albert A. Benedict, Paul H. Maurer and Fei Wang and has published in prestigious journals such as The Journal of Immunology, Journal of the American Academy of Dermatology and American Journal of Kidney Diseases.

In The Last Decade

Phillip R. Morrow

20 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Phillip R. Morrow	144	143	99	96	73	22	578
David Hyatt	22 0.2×	20 0.1×	34 0.3×	75 0.8×	55 0.8×	16	543
Nicole L. Taylor	100 0.7×	51 0.4×	6 0.1×	52 0.5×	13 0.2×	23	582
Karl E. Zimmer	18 0.1×	11 0.1×	195 2.0×	199 2.1×	7 0.1×	26	567
James Coleman	74 0.5×	79 0.6×	7 0.1×	205 2.1×	5 0.1×	34	691
Michael Bovée	431 3.0×	19 0.1×	19 0.2×	30 0.3×	8 0.1×	17	631
Vicky Hopwood	111 0.8×	16 0.1×	30 0.3×	234 2.4×	13 0.2×	25	688
Paolo Di Giovine	312 2.2×	107 0.7×	10 0.1×	157 1.6×		14	577
Hannah C. Sung	60 0.4×	120 0.8×	7 0.1×	74 0.8×	6 0.1×	24	590
Dan Smith	58 0.4×	43 0.3×	6 0.1×	129 1.3×	3 0.0×	37	555
Alvaro J. Pazos	42 0.3×	77 0.5×	6 0.1×	36 0.4×	10 0.1×	29	503

Countries citing papers authored by Phillip R. Morrow

Since Specialization

Citations

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

Fields of papers citing papers by Phillip R. Morrow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip R. Morrow. 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 Phillip R. Morrow. The network helps show where Phillip R. Morrow may publish in the future.

Co-authorship network of co-authors of Phillip R. Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip R. Morrow. A scholar is included among the top collaborators of Phillip R. Morrow 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 Phillip R. Morrow. Phillip R. Morrow 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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