Carmel M. O’Neill

37 total papers · 1.8k total citations
31 papers, 1.3k citations indexed

About

Carmel M. O’Neill is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Carmel M. O’Neill has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 22 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Carmel M. O’Neill's work include Plant tissue culture and regeneration (8 papers), Photosynthetic Processes and Mechanisms (8 papers) and Plant Molecular Biology Research (8 papers). Carmel M. O’Neill is often cited by papers focused on Plant tissue culture and regeneration (8 papers), Photosynthetic Processes and Mechanisms (8 papers) and Plant Molecular Biology Research (8 papers). Carmel M. O’Neill collaborates with scholars based in United Kingdom, Germany and United States. Carmel M. O’Neill's co-authors include Ian Bancroft, Nikolai M. Adamski, Sven Eriksson, Michael Lenhard, Colin Morgan, Péter Medgyesy, Gábor V. Horváth, R. J. Mathias, Philip J. Dix and Steven Penfield and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Clinical Nutrition and PLANT PHYSIOLOGY.

In The Last Decade

Carmel M. O’Neill

30 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Carmel M. O’Neill	1.0k	846	147	135	46	31	1.3k
Quancan Hou	1.1k 1.1×	923 1.1×	129 0.9×	109 0.8×	65 1.4×	32	1.4k
Ratna Karan	911 0.9×	507 0.6×	104 0.7×	100 0.7×	28 0.6×	34	1.1k
Naveen C. Bisht	1.1k 1.1×	1.1k 1.3×	74 0.5×	129 1.0×	53 1.2×	51	1.5k
Kensuke Kusumi	1.3k 1.2×	1.3k 1.5×	108 0.7×	87 0.6×	62 1.3×	36	1.7k
Yan Long	920 0.9×	722 0.9×	192 1.3×	250 1.9×	31 0.7×	53	1.2k
Shipeng Li	830 0.8×	718 0.8×	96 0.7×	111 0.8×	44 1.0×	53	1.1k
Sachie Kishitani	1.3k 1.3×	839 1.0×	52 0.4×	105 0.8×	60 1.3×	36	1.6k
Tao Zhao	871 0.8×	865 1.0×	67 0.5×	100 0.7×	82 1.8×	45	1.3k
Jason D. Gillman	1.1k 1.1×	356 0.4×	145 1.0×	212 1.6×	26 0.6×	46	1.3k
Patrick J. Gulick	960 0.9×	677 0.8×	50 0.3×	94 0.7×	60 1.3×	37	1.3k

Countries citing papers authored by Carmel M. O’Neill

Since Specialization

Citations

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

Fields of papers citing papers by Carmel M. O’Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmel M. O’Neill. 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 Carmel M. O’Neill. The network helps show where Carmel M. O’Neill may publish in the future.

Co-authorship network of co-authors of Carmel M. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Carmel M. O’Neill. A scholar is included among the top collaborators of Carmel M. O’Neill 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 Carmel M. O’Neill. Carmel M. O’Neill 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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