Derek L Chappell

22 total papers · 531 total citations
15 papers, 326 citations indexed

About

Derek L Chappell is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Spectroscopy. According to data from OpenAlex, Derek L Chappell has authored 15 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Spectroscopy. Recurrent topics in Derek L Chappell's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Derek L Chappell is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Derek L Chappell collaborates with scholars based in United States, United Kingdom and Denmark. Derek L Chappell's co-authors include Omar Laterza, Michael E. Lassman, Thomas McAvoy, Scott J. Cameron, Haihong Zhou, Lori J. Sokoll, Gary B. Green, Karen Snyder, Aimée Dallob and José Castro‐Perez and has published in prestigious journals such as Clinical Chemistry, Clinical Pharmacology & Therapeutics and Clinica Chimica Acta.

In The Last Decade

Derek L Chappell

15 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Derek L Chappell	129	82	59	51	47	15	326
R. E. Lang	192 1.5×	22 0.3×	46 0.8×	30 0.6×	54 1.1×	14	334
Nansie A. McHugh	101 0.8×	34 0.4×	96 1.6×	42 0.8×	44 0.9×	15	317
Megumi Hirayama	196 1.5×	26 0.3×	42 0.7×	27 0.5×	9 0.2×	11	338
Anna Selmi	85 0.7×	28 0.3×	87 1.5×	20 0.4×	30 0.6×	12	323
Mohammad A. Tabrizi‐Fard	88 0.7×	15 0.2×	151 2.6×	14 0.3×	44 0.9×	12	308
B. Brooks	108 0.8×	10 0.1×	14 0.2×	41 0.8×	67 1.4×	20	362
C. Stonier	83 0.6×	22 0.3×	51 0.9×	22 0.4×	28 0.6×	16	310
Shyh-Jong Wu	139 1.1×	9 0.1×	92 1.6×	38 0.7×	60 1.3×	13	343
Na Yang	167 1.3×	84 1.0×	24 0.4×	11 0.2×	20 0.4×	20	328
Taisiya V. Tolstik	135 1.0×	19 0.2×	71 1.2×	24 0.5×	42 0.9×	20	365

Countries citing papers authored by Derek L Chappell

Since Specialization

Citations

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

Fields of papers citing papers by Derek L Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek L Chappell

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