David R. Goodlett

35.3k total citations · 6 hit papers
311 papers, 26.7k citations indexed

About

David R. Goodlett is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, David R. Goodlett has authored 311 papers receiving a total of 26.7k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Molecular Biology, 144 papers in Spectroscopy and 29 papers in Genetics. Recurrent topics in David R. Goodlett's work include Advanced Proteomics Techniques and Applications (106 papers), Mass Spectrometry Techniques and Applications (103 papers) and Metabolomics and Mass Spectrometry Studies (46 papers). David R. Goodlett is often cited by papers focused on Advanced Proteomics Techniques and Applications (106 papers), Mass Spectrometry Techniques and Applications (103 papers) and Metabolomics and Mass Spectrometry Studies (46 papers). David R. Goodlett collaborates with scholars based in United States, Canada and Poland. David R. Goodlett's co-authors include Ruedi Aebersold, Eugene C. Yi, Jimmy K. Eng, Scott A. Shaffer, Fumitaka Hayashi, Alan Aderem, Kelly D. Smith, David M. Underhill, Adrian Ozinsky and Thomas R. Hawn and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David R. Goodlett

310 papers receiving 26.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular characterization of mitochondrial apoptosis-inducing factor

1999 3.3k citations David R. Goodlett, Ruedi Aebersold et al. Nature profile →
The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5

2001 2.8k citations Fumitaka Hayashi, Kelly D. Smith et al. Nature profile →
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network

2001 1.5k citations Jimmy K. Eng, David R. Goodlett et al. profile →
Mass Spectrometry in Proteomics

2001 989 citations Ruedi Aebersold, David R. Goodlett profile →
A Type VI Secretion System of Pseudomonas aeruginosa Targets a Toxin to Bacteria

2010 718 citations David R. Goodlett et al. profile →
Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells

2004 647 citations Eugene C. Yi, Jimmy K. Eng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David R. Goodlett United States	76	15.3k	6.3k	4.4k	2.3k	2.1k	311	26.7k
Amos Bairoch Switzerland	78	27.9k 1.8×	3.1k 0.5×	2.9k 0.7×	796 0.3×	4.1k 1.9×	155	38.7k
Jimmy K. Eng United States	69	19.5k 1.3×	13.0k 2.1×	3.0k 0.7×	607 0.3×	1.4k 0.7×	144	27.6k
Robert J. Cotter United States	78	8.4k 0.5×	6.0k 0.9×	2.8k 0.6×	850 0.4×	1.6k 0.8×	366	19.5k
Anne Dell United Kingdom	88	18.0k 1.2×	2.8k 0.4×	5.7k 1.3×	804 0.4×	2.1k 1.0×	501	28.6k
Christian R.H. Raetz United States	80	14.3k 0.9×	1.6k 0.3×	4.8k 1.1×	3.6k 1.6×	5.9k 2.8×	234	26.0k
Michael Kuhn Germany	55	23.9k 1.6×	1.5k 0.2×	2.9k 0.7×	837 0.4×	2.9k 1.4×	153	39.2k
Elaine C. Meng United States	29	32.3k 2.1×	1.4k 0.2×	3.1k 0.7×	800 0.3×	4.4k 2.1×	35	50.0k
Eric F. Pettersen United States	13	31.0k 2.0×	1.3k 0.2×	3.1k 0.7×	803 0.4×	4.4k 2.1×	15	48.2k
Thomas D. Goddard United States	13	30.2k 2.0×	1.3k 0.2×	3.0k 0.7×	819 0.4×	4.4k 2.1×	13	47.2k
Thomas C. Terwilliger United States	65	39.5k 2.6×	1.4k 0.2×	3.5k 0.8×	1.4k 0.6×	6.9k 3.3×	215	53.2k

Countries citing papers authored by David R. Goodlett

Since Specialization

Citations

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

Fields of papers citing papers by David R. Goodlett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Goodlett. 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 David R. Goodlett. The network helps show where David R. Goodlett may publish in the future.

Co-authorship network of co-authors of David R. Goodlett

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Goodlett. A scholar is included among the top collaborators of David R. Goodlett 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 David R. Goodlett. David R. Goodlett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Richard, Vincent R., Azad Eshghi, Yassene Mohammed, et al.. (2024). Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies. Journal of Proteome Research. 23(5). 1779–1787. 4 indexed citations

Yang, Hyojik, et al.. (2024). A Multimodal System for Lipid A Structural Analysis from a Single Colony. Analytical Chemistry. 1 indexed citations

Faktor, Jakub, Lenka Hernychová, A. Jonathan Singh, et al.. (2024). Metaproteomic analysis from cervical biopsies and cytologies identifies proteinaceous biomarkers representing both human and microbial species. Talanta. 278. 126460–126460. 1 indexed citations

Mikhael, Abanoub, Darryl B. Hardie, Derek Smith, et al.. (2023). Structural Elucidation of Intact Rough-type Lipopolysaccharides Using Field Asymmetric Ion Mobility Spectrometry and Kendrick Mass Defect Plots. Analytical Chemistry. 95(46). 16796–16800. 2 indexed citations

Houston, Simon, Azad Eshghi, Derek Smith, et al.. (2023). Deep proteome coverage advances knowledge of Treponema pallidum protein expression profiles during infection. Scientific Reports. 13(1). 18259–18259. 8 indexed citations

Han, Jun, et al.. (2023). Resistant potato starch supplementation reduces serum histamine levels in healthy adults with links to attenuated intestinal permeability. Journal of Functional Foods. 108. 105740–105740. 5 indexed citations

Hamilton, Phineas T., Alex Miranda, Robert L. Chow, et al.. (2022). Cytoplasmic switch of ARS2 isoforms promotes nonsense-mediated mRNA decay and arsenic sensitivity. Nucleic Acids Research. 50(3). 1620–1638. 3 indexed citations

Khan, Mohd M., Alison Scott, Aleksandra Nita‐Lazar, et al.. (2021). Transcriptomics Analysis Uncovers Transient Ceftazidime Tolerance in Burkholderia Biofilms. ACS Infectious Diseases. 7(8). 2324–2336. 2 indexed citations

Yang, Hyojik, David R. Goodlett, Robert K. Ernst, & Alison Scott. (2020). Mass Spectrometry Imaging of Microbes. Research Publications (Maastricht University). 11(3). 41–51. 2 indexed citations

10.

Yang, Hyojik, Shelley N. Jackson, Amina S. Woods, et al.. (2020). Streamlined Analysis of Cardiolipins in Prokaryotic and Eukaryotic Samples Using a Norharmane Matrix by MALDI-MSI. Journal of the American Society for Mass Spectrometry. 31(12). 2495–2502. 14 indexed citations

11.

Maity, Tapan K., et al.. (2018). Dataset describing the development, optimization and application of SRM/MRM based targeted proteomics strategy for quantification of potential biomarkers of EGFR TKI sensitivity. Data in Brief. 19. 424–436. 4 indexed citations

12.

Li, Yanyan, Daniel A. Powell, Scott A. Shaffer, et al.. (2012). LPS remodeling is an evolved survival strategy for bacteria. Proceedings of the National Academy of Sciences. 109(22). 8716–8721. 146 indexed citations

13.

Lin, Xiangmin, Travis J. Cook, Cyrus P. Zabetian, et al.. (2012). DJ-1 isoforms in whole blood as potential biomarkers of Parkinson disease. Scientific Reports. 2(1). 954–954. 85 indexed citations

14.

Panchaud, Alice, et al.. (2010). Making a Case for Data-independent Tandem Mass Spectrometry Workflows.. Journal of Biomolecular Techniques JBT. 21. 1 indexed citations

15.

Pan, Sheng, David C. Zhu, Joseph F. Quinn, et al.. (2007). A combined dataset of human cerebrospinal fluid proteins identified by multi‐dimensional chromatography and tandem mass spectrometry. PROTEOMICS. 7(3). 469–473. 94 indexed citations

16.

Corthals, Garry L., R Aebersold, & David R. Goodlett. (2005). Identification of Phosphorylation Sites Using Microimmobilized Metal Affinity Chromatography. Methods in enzymology on CD-ROM/Methods in enzymology. 405. 66–81. 44 indexed citations

17.

Lin, Biaoyang, James T. White, Wei Lu, et al.. (2005). Evidence for the Presence of Disease-Perturbed Networks in Prostate Cancer Cells by Genomic and Proteomic Analyses: A Systems Approach to Disease. Cancer Research. 65(8). 3081–3091. 68 indexed citations

18.

Marelli, Marcello, Jennifer J. Smith, Sunhee Jung, et al.. (2004). Quantitative mass spectrometry reveals a role for the GTPase Rho1p in actin organization on the peroxisome membrane. The Journal of Cell Biology. 167(6). 1099–1112. 130 indexed citations

19.

Baliga, Nitin S., Min Pan, Young Ah Goo, et al.. (2002). Coordinate regulation of energy transduction modules in Halobacterium sp. analyzed by a global systems approach. Proceedings of the National Academy of Sciences. 99(23). 14913–14918. 97 indexed citations

20.

Hayashi, Fumitaka, Kelly D. Smith, Adrian Ozinsky, et al.. (2001). The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5. Nature. 410(6832). 1099–1103. 2793 indexed citations breakdown →

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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