Graeme P. Sullivan

17 total papers · 943 total citations
13 papers, 733 citations indexed

About

Graeme P. Sullivan is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Graeme P. Sullivan has authored 13 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Dermatology. Recurrent topics in Graeme P. Sullivan's work include Psoriasis: Treatment and Pathogenesis (5 papers), IL-33, ST2, and ILC Pathways (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Graeme P. Sullivan is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (5 papers), IL-33, ST2, and ILC Pathways (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Graeme P. Sullivan collaborates with scholars based in Ireland, Russia and Germany. Graeme P. Sullivan's co-authors include Séamus J. Martin, Danielle M. Clancy, Conor M. Henry, Inna S. Afonina, Dagmar Kulms, Emer P. Reeves, Noel G. McElvaney, Ed C. Lavelle, Pavel B. Davidovich and Daniel Alencar Rodrigues and has published in prestigious journals such as Chemical Communications, Developmental Cell and Science Translational Medicine.

In The Last Decade

Graeme P. Sullivan

12 papers receiving 731 citations

Author Peers

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

Author						Papers	Cites
Graeme P. Sullivan	483	224	197	102	95	13	733
Yi Fritz	535 1.1×	166 0.7×	318 1.6×	141 1.4×	118 1.2×	14	800
Maria Tengvall-Linder	279 0.6×	335 1.5×	183 0.9×	88 0.9×	145 1.5×	10	868
Yong‐Jun Liu	458 0.9×	191 0.9×	69 0.4×	69 0.7×	121 1.3×	15	728
Francesca Gentili	358 0.7×	207 0.9×	93 0.5×	76 0.7×	164 1.7×	16	852
Greg S. Morganroth	245 0.5×	241 1.1×	145 0.7×	58 0.6×	144 1.5×	14	684
Christoph U. Brand	335 0.7×	145 0.6×	263 1.3×	64 0.6×	290 3.1×	23	736
Tomonori Takekoshi	543 1.1×	133 0.6×	236 1.2×	94 0.9×	287 3.0×	20	787
Salim Bouguermouh	475 1.0×	113 0.5×	100 0.5×	108 1.1×	97 1.0×	11	652
Irene Dougherty	350 0.7×	179 0.8×	158 0.8×	223 2.2×	74 0.8×	17	755
Vadim Budagian	740 1.5×	102 0.5×	78 0.4×	143 1.4×	129 1.4×	10	891

Countries citing papers authored by Graeme P. Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Graeme P. Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme P. Sullivan. 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 Graeme P. Sullivan. The network helps show where Graeme P. Sullivan may publish in the future.

Co-authorship network of co-authors of Graeme P. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme P. Sullivan. A scholar is included among the top collaborators of Graeme P. Sullivan 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 Graeme P. Sullivan. Graeme P. Sullivan 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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