Derek J. Peacock

10 total papers · 430 total citations
9 papers, 358 citations indexed

About

Derek J. Peacock is a scholar working on Immunology and Allergy, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Derek J. Peacock has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology and Allergy, 3 papers in Rheumatology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Derek J. Peacock's work include Cell Adhesion Molecules Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Derek J. Peacock is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Derek J. Peacock collaborates with scholars based in United States and United Kingdom. Derek J. Peacock's co-authors include Ernest Brahn, M L Banquerigo, Mona Lisa Banquerigo, Grace Ku, Joseph R. Reeve, Mitchell Kronenberg, Cyrus Cooper, Benjamin S. Braun, Paul Tempst and M I Cawley and has published in prestigious journals such as The Journal of Experimental Medicine, Annals of the Rheumatic Diseases and European Journal of Immunology.

In The Last Decade

Derek J. Peacock

9 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Derek J. Peacock	149	105	101	88	68	9	358
Robert L. Hills	111 0.7×	86 0.8×	145 1.4×	97 1.1×	40 0.6×	9	395
M. J. Crossley	62 0.4×	86 0.8×	192 1.9×	65 0.7×	48 0.7×	10	368
Hiroomi Tateishi	89 0.6×	43 0.4×	155 1.5×	49 0.6×	72 1.1×	14	329
Richard Balakir	157 1.1×	57 0.5×	146 1.4×	48 0.5×	57 0.8×	13	365
Annie Cartman	36 0.2×	63 0.6×	251 2.5×	55 0.6×	139 2.0×	10	383
Simon Strietholt	192 1.3×	28 0.3×	130 1.3×	84 1.0×	97 1.4×	10	367
Bernadette Lyons-Giordano	106 0.7×	48 0.5×	46 0.5×	43 0.5×	44 0.6×	12	384
Yuliya Berd	85 0.6×	41 0.4×	178 1.8×	113 1.3×	131 1.9×	7	376
Chia-Li Yu	110 0.7×	26 0.2×	49 0.5×	98 1.1×	107 1.6×	10	332
Cristiana Matache	131 0.9×	32 0.3×	77 0.8×	96 1.1×	133 2.0×	12	343

Countries citing papers authored by Derek J. Peacock

Since Specialization

Citations

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

Fields of papers citing papers by Derek J. Peacock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek J. Peacock. 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 Derek J. Peacock. The network helps show where Derek J. Peacock may publish in the future.

Co-authorship network of co-authors of Derek J. Peacock

This figure shows the co-authorship network connecting the top 25 collaborators of Derek J. Peacock. A scholar is included among the top collaborators of Derek J. Peacock 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 Derek J. Peacock. Derek J. Peacock 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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