Timothy J. Griffin

13.4k total citations · 2 hit papers
158 papers, 7.8k citations indexed

About

Timothy J. Griffin is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Timothy J. Griffin has authored 158 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 70 papers in Spectroscopy and 22 papers in Physiology. Recurrent topics in Timothy J. Griffin's work include Advanced Proteomics Techniques and Applications (63 papers), Mass Spectrometry Techniques and Applications (35 papers) and Metabolomics and Mass Spectrometry Studies (30 papers). Timothy J. Griffin is often cited by papers focused on Advanced Proteomics Techniques and Applications (63 papers), Mass Spectrometry Techniques and Applications (35 papers) and Metabolomics and Mass Spectrometry Studies (30 papers). Timothy J. Griffin collaborates with scholars based in United States, Russia and Germany. Timothy J. Griffin's co-authors include Sricharan Bandhakavi, Hongwei Xie, Ruedi Aebersold, Do‐Hyung Kim, Lloyd M. Smith, David Bernlohr, Beate Rist, Steven P. Gygi, Paul A. Grimsrud and Jimmy K. Eng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Timothy J. Griffin

156 papers receiving 7.6k citations

Hit 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.

Insulin signalling to mTOR mediated by the Akt/PKB substrate PRAS40

2007 924 citations Timothy J. Griffin et al. profile →
Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiae

2002 534 citations Timothy J. Griffin, Ruedi Aebersold et al. profile →

Peers

Countries citing papers authored by Timothy J. Griffin

Since Specialization

Citations

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

Fields of papers citing papers by Timothy J. Griffin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy J. Griffin

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

#	Work	Indexed citations
1	Investigating proteogenomic divergence in patient-derived xenograft models of ovarian cancer 2025 ·Scientific Reports ·(unknown), (unknown), Joohyun Ryu, Mihir Shetty, Subina Mehta, Pratik Jagtap, Andrew C. Nelson, Boris Winterhoff, Timothy J. Griffin, Timothy K. Starr, Stefani N. Thomas	2
2	A novel clinical metaproteomics workflow enables bioinformatic analysis of host-microbe dynamics in disease 2024 ·mSphere ·(unknown), Subina Mehta, (unknown), (unknown), (unknown), Amy P.N. Skubitz, James E. Johnson, Timothy J. Griffin, Pratik Jagtap	3
3	Metaproteomics for Coinfections in the Upper Respiratory Tract: The Case of COVID-19 2024 ·Methods in molecular biology ·(unknown), (unknown), Subina Mehta, (unknown), Timothy J. Griffin, Pratik Jagtap, Sanjeeva Srivastava	1
4	A constitutional isomer selective chemical proteomic strategy for system-wide profiling of protein lysine 5-hydroxylation 2024 ·Chemical Science ·(unknown), Meeyeon Park, Timothy J. Griffin, Jeongsik Yong, Yue Chen	2
5	Integrative meta-omics in Galaxy and beyond 2023 ·Environmental Microbiome ·(unknown), Francesco Delogu, Praveen Kumar, Benoît J. Kunath, Bérénice Batut, Subina Mehta, James E. Johnson, Björn Grüning, Phillip B. Pope, Pratik Jagtap, Timothy J. Griffin, Magnus Ø. Arntzen	9
6	An optimized workflow for MS-based quantitative proteomics of challenging clinical bronchoalveolar lavage fluid (BALF) samples 2023 ·Clinical Proteomics ·(unknown), (unknown), LeeAnn Higgins, Todd W. Markowski, Pratik Jagtap, Subina Mehta, (unknown), Laurie L. Parker, Christine Wendt, Timothy J. Griffin	6
7	Catching the Wave: Detecting Strain-Specific SARS-CoV-2 Peptides in Clinical Samples Collected during Infection Waves from Diverse Geographical Locations 2022 ·Viruses ·Subina Mehta, Valdemir Melechco Carvalho, (unknown), Olivier Pible, Björn Grüning, James E. Johnson, (unknown), Jean Armengaud, Timothy J. Griffin, Pratik Jagtap	1
8	Updates on metaQuantome Software for Quantitative Metaproteomics 2021 ·Journal of Proteome Research ·Subina Mehta, Praveen Kumar, (unknown), James E. Johnson, (unknown), (unknown), Thomas McGowan, Magnus Ø. Arntzen, Timothy J. Griffin, Pratik Jagtap	5
9	Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration 2020 ·GigaScience ·Thomas McGowan, James E. Johnson, Praveen Kumar, (unknown), Subina Mehta, Pratik Jagtap, Timothy J. Griffin	13
10	A Sectioning and Database Enrichment Approach for Improved Peptide Spectrum Matching in Large, Genome-Guided Protein Sequence Databases 2020 ·Journal of Proteome Research ·Praveen Kumar, James E. Johnson, (unknown), Subina Mehta, (unknown), Brook L. Nunn, Pratik Jagtap, Timothy J. Griffin	23
11	Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform 2020 ·Proteomes ·Subina Mehta, (unknown), (unknown), Robert J. Millikin, (unknown), Ignacio Eguinoa, Lennart Martens, Michael R. Shortreed, Lloyd M. Smith, Thomas McGowan, Praveen Kumar, James E. Johnson, Timothy J. Griffin, Pratik Jagtap	10
12	Survey of metaproteomics software tools for functional microbiome analysis 2020 ·PLoS ONE ·(unknown), (unknown), Michael Riffle, Bart Mesuere, Thilo Muth, Subina Mehta, Praveen Kumar, James E. Johnson, Bjoern Gruening, Henning Schiebenhoefer, Carolin A. Kolmeder, Stephan Fuchs, Brook L. Nunn, Joel Rudney, Timothy J. Griffin, Pratik Jagtap	30
13	Application of Proteomics in Sarcoidosis 2020 ·American Journal of Respiratory Cell and Molecular Biology ·(unknown), Lisa A. Maier, Timothy J. Griffin, LeeAnn Higgins, Charles P. Najt, D. Perlman, Maneesh Bhargava	10
14	Challenges in Peptide-Spectrum Matching: A Robust and Reproducible Statistical Framework for Removing Low-Accuracy, High-Scoring Hits 2019 ·Journal of Proteome Research ·Shane L. Hubler, Praveen Kumar, Subina Mehta, (unknown), James E. Johnson, Pratik Jagtap, Timothy J. Griffin	11
15	Distinct Cancer-Promoting Stromal Gene Expression Depending on Lung Function 2019 ·American Journal of Respiratory and Critical Care Medicine ·(unknown), Laìa Masvidal, Carl Murie, Margarita Bartish, Svetlana Avdulov, LeeAnn Higgins, Todd W. Markowski, Mark S. Peterson, Jonas Bergh, Ping Yang, Charlotte Rolny, Andrew H. Limper, Timothy J. Griffin, Peter B. Bitterman, Chris H. Wendt, Ola Larsson	18
16	Update on the moFF Algorithm for Label-Free Quantitative Proteomics 2018 ·Journal of Proteome Research ·(unknown), An Staes, Björn Grüning, Subina Mehta, (unknown), Timothy J. Griffin, Pratik Jagtap, Francis Impens, Lennart Martens	9
17	Quantitative proteomics of forebrain subcellular fractions in fragile X mental retardation 1 knockout mice following acute treatment with 2‐Methyl‐6‐(phenylethynyl)pyridine: Relevance to developmental study of schizophrenia 2018 ·Synapse ·Timothy D. Folsom, LeeAnn Higgins, Todd W. Markowski, Timothy J. Griffin, S. Hossein Fatemi	5
18	An Accessible Proteogenomics Informatics Resource for Cancer Researchers 2017 ·Cancer Research ·Matthew Chambers, Pratik Jagtap, James E. Johnson, Thomas McGowan, Praveen Kumar, Getiria Onsongo, Candace Guerrero, Harald Barsnes, Marc Vaudel, Lennart Martens, Björn Grüning, Ira Cooke, Mohammad Heydarian, Karen L. Reddy, Timothy J. Griffin	23
19	Phase II Study of Clofarabine in Pediatric Patients With Refractory or Relapsed Acute Lymphoblastic Leukemia 2006 ·Journal of Clinical Oncology ·Sima Jeha, Paul S. Gaynon, Bassem I. Razzouk, Janet Franklin, Richard Kadota, Violet Shen, Lori Luchtman‐Jones, Michael Rytting, Lisa Bomgaars, Susan R. Rheingold, Kim Ritchey, Edythe A. Albano, R.J. Arceci, Stewart Goldman, Timothy J. Griffin, Arnold J. Altman, Bruce G. Gordon, Laurel J. Steinherz, Steven Weitman, Peter G. Steinherz	215
20	Abundance-dependent proteomic analysis by mass spectrometry 2002 ·Timothy J. Griffin, Chris M. Lock, Xiaojun Li, Alpesh Patel, (unknown), Hookeun Lee, Michael E. Wright, Jeffrey A. Ranish, Sharon S. Chen, Ruedi Aebersold	1

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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