Grant C. Sellar

26 total papers · 1.4k total citations
21 papers, 1.1k citations indexed

About

Grant C. Sellar is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Grant C. Sellar has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Reproductive Medicine and 4 papers in Oncology. Recurrent topics in Grant C. Sellar's work include Ovarian cancer diagnosis and treatment (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers) and Alzheimer's disease research and treatments (3 papers). Grant C. Sellar is often cited by papers focused on Ovarian cancer diagnosis and treatment (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers) and Alzheimer's disease research and treatments (3 papers). Grant C. Sellar collaborates with scholars based in United Kingdom, United States and Ireland. Grant C. Sellar's co-authors include Hani Gabra, John F. Smyth, Alexander S. Whitehead, Roderick R. McInnes, Rashmi Kothary, Heinz Arnheiter, Minh‐Thanh Nguyen, Genevieve J. Rabiasz, Eric P. Miller and Euan A. Stronach and has published in prestigious journals such as Nature Genetics, PLoS ONE and Development.

In The Last Decade

Grant C. Sellar

20 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Grant C. Sellar	728	160	142	141	129	21	1.1k
Susan C. Evans	738 1.0×	265 1.7×	117 0.8×	134 1.0×	152 1.2×	28	1.1k
J K Anderson	950 1.3×	212 1.3×	149 1.0×	166 1.2×	133 1.0×	21	1.4k
Satoru Sasagawa	956 1.3×	209 1.3×	113 0.8×	143 1.0×	73 0.6×	37	1.3k
Masayo Hosokawa	468 0.6×	249 1.6×	133 0.9×	155 1.1×	170 1.3×	21	954
Konrad Kölble	389 0.5×	198 1.2×	132 0.9×	146 1.0×	93 0.7×	29	915
Agata Zieba	519 0.7×	192 1.2×	115 0.8×	137 1.0×	65 0.5×	22	915
Hiroaki Kobayashi	738 1.0×	379 2.4×	156 1.1×	116 0.8×	112 0.9×	28	1.4k
Michelle Kéramidas	640 0.9×	103 0.6×	165 1.2×	68 0.5×	153 1.2×	33	1.3k
S.A. Whitmore	536 0.7×	167 1.0×	73 0.5×	256 1.8×	81 0.6×	26	1.3k
Cassandra R. Diegel	743 1.0×	217 1.4×	109 0.8×	197 1.4×	165 1.3×	19	1.1k

Countries citing papers authored by Grant C. Sellar

Since Specialization

Citations

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

Fields of papers citing papers by Grant C. Sellar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant C. Sellar. 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 Grant C. Sellar. The network helps show where Grant C. Sellar may publish in the future.

Co-authorship network of co-authors of Grant C. Sellar

This figure shows the co-authorship network connecting the top 25 collaborators of Grant C. Sellar. A scholar is included among the top collaborators of Grant C. Sellar 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 Grant C. Sellar. Grant C. Sellar 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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