Grace P. Kerby

61 total papers · 884 total citations
34 papers, 522 citations indexed

About

Grace P. Kerby is a scholar working on Genetics, Cell Biology and Molecular Biology. According to data from OpenAlex, Grace P. Kerby has authored 34 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Grace P. Kerby's work include Proteoglycans and glycosaminoglycans research (4 papers), Blood disorders and treatments (2 papers) and Neonatal Health and Biochemistry (2 papers). Grace P. Kerby is often cited by papers focused on Proteoglycans and glycosaminoglycans research (4 papers), Blood disorders and treatments (2 papers) and Neonatal Health and Biochemistry (2 papers). Grace P. Kerby collaborates with scholars based in United States and United Kingdom. Grace P. Kerby's co-authors include David W. Macdonald, Peter Apps, Michael D. Parker, Steve M. Taylor, Samuel P. Martin, S. Mark Taylor, G. S. Eadie, John Barrett, Donald E. McCollum and John W.S. Bradshaw and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Grace P. Kerby

33 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Grace P. Kerby	118	92	82	73	72	34	522
Satoshi Soeta	147 1.2×	58 0.6×	19 0.2×	33 0.5×	23 0.3×	53	533
J. C. Boursnell	125 1.1×	39 0.4×	32 0.4×	50 0.7×	36 0.5×	39	506
Yusuke Hirota	176 1.5×	50 0.5×	9 0.1×	45 0.6×	79 1.1×	46	588
Anneke Elgersma	116 1.0×	21 0.2×	20 0.2×	31 0.4×	344 4.8×	25	595
James Fikes	133 1.1×	52 0.6×	14 0.2×	48 0.7×	203 2.8×	22	596
F Zachariae	92 0.8×	53 0.6×	74 0.9×	28 0.4×	41 0.6×	35	493
John S. Baumstark	235 2.0×	44 0.5×	28 0.3×	10 0.1×	49 0.7×	23	517
Sangho Kim	212 1.8×	53 0.6×	21 0.3×	42 0.6×	75 1.0×	45	547
Edmund D. Lowney	123 1.0×	21 0.2×	24 0.3×	69 0.9×	82 1.1×	28	537
Tae‐Hoon Kim	78 0.7×	25 0.3×	21 0.3×	36 0.5×	35 0.5×	44	498

Countries citing papers authored by Grace P. Kerby

Since Specialization

Citations

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

Fields of papers citing papers by Grace P. Kerby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace P. Kerby

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