Thomas Fillmore

2.5k total citations
50 papers, 1.5k citations indexed

About

Thomas Fillmore is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Thomas Fillmore has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Spectroscopy and 4 papers in Oncology. Recurrent topics in Thomas Fillmore's work include Advanced Proteomics Techniques and Applications (28 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Thomas Fillmore is often cited by papers focused on Advanced Proteomics Techniques and Applications (28 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Thomas Fillmore collaborates with scholars based in United States, China and Sweden. Thomas Fillmore's co-authors include Richard Smith, Weijun Qian, Tujin Shi, Yuqian Gao, Tao Liu, Athena Schepmoes, Ronald Moore, Karin Rodland, David Camp and Keqi Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Thomas Fillmore

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Fillmore United States	22	854	684	175	111	109	50	1.5k
Goran Mitulović Austria	20	600 0.7×	329 0.5×	126 0.7×	102 0.9×	119 1.1×	56	1.3k
Tujin Shi United States	28	1.6k 1.8×	1.2k 1.8×	276 1.6×	85 0.8×	132 1.2×	64	2.3k
Konstantin A. Artemenko Sweden	24	849 1.0×	336 0.5×	215 1.2×	79 0.7×	188 1.7×	63	1.8k
Andrew G. Chambers Canada	22	747 0.9×	854 1.2×	249 1.4×	46 0.4×	90 0.8×	37	1.4k
Christoph Stingl Netherlands	25	1.2k 1.4×	783 1.1×	80 0.5×	42 0.4×	138 1.3×	63	1.9k
Jan Muntel Germany	21	905 1.1×	499 0.7×	103 0.6×	35 0.3×	119 1.1×	24	1.3k
Maureen Kachman United States	18	861 1.0×	576 0.8×	126 0.7×	30 0.3×	204 1.9×	31	1.4k
Lei Huang China	19	588 0.7×	279 0.4×	195 1.1×	57 0.5×	178 1.6×	88	1.3k
Hassan Dihazi Germany	24	847 1.0×	223 0.3×	92 0.5×	106 1.0×	142 1.3×	85	1.8k
Christoph Krisp Germany	23	736 0.9×	185 0.3×	80 0.5×	67 0.6×	184 1.7×	60	1.4k

Countries citing papers authored by Thomas Fillmore

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Fillmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Fillmore. 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 Thomas Fillmore. The network helps show where Thomas Fillmore may publish in the future.

Co-authorship network of co-authors of Thomas Fillmore

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Fillmore. A scholar is included among the top collaborators of Thomas Fillmore 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 Thomas Fillmore. Thomas Fillmore 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

Yang, Xinxin, Thomas Fillmore, Marina Gritsenko, et al.. (2025). A multiplex assay of leptin, resistin, and adiponectin by immunoaffinity enrichment and targeted mass spectrometry. PubMed. 36. 11–18.

Fulcher, James, Ashley N. Ives, Shinya Tasaki, et al.. (2025). Discovery of Proteoforms Associated With Alzheimer's Disease Through Quantitative Top-Down Proteomics. Molecular & Cellular Proteomics. 24(6). 100983–100983. 5 indexed citations

Yun, Donghwan, Yuqian Gao, Lauren Lopez, et al.. (2025). Complement Proteins Identify Rapidly Progressive Diabetic Kidney Disease. Kidney International Reports. 10(7). 2296–2310.

Moradian, Annie, Elisha Goonatilleke, Michelle A. Emrick, et al.. (2024). Interlaboratory Comparison of Antibody-Free LC-MS/MS Measurements of C-peptide and Insulin. Clinical Chemistry. 70(6). 855–864. 6 indexed citations

Veličković, Marija, Thomas Fillmore, Isaac Attah, et al.. (2024). Coupling Microdroplet-Based Sample Preparation, Multiplexed Isobaric Labeling, and Nanoflow Peptide Fractionation for Deep Proteome Profiling of the Tissue Microenvironment. Analytical Chemistry. 96(32). 12973–12982. 3 indexed citations

Webb‐Robertson, Bobbie‐Jo, Ernesto Nakayasu, Fran Dong, et al.. (2023). Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes. iScience. 27(2). 108769–108769. 8 indexed citations

Davidi, Lital, Sean D. Gallaher, Eyal Ben‐David, et al.. (2023). Pumping iron: A multi-omics analysis of two extremophilic algae reveals iron economy management. Proceedings of the National Academy of Sciences. 120(30). e2305495120–e2305495120. 15 indexed citations

Rahman, S.M. Jamshedur, Sheau‐Chiann Chen, Yi-Ting Wang, et al.. (2023). Validation of a Proteomic Signature of Lung Cancer Risk from Bronchial Specimens of Risk-Stratified Individuals. Cancers. 15(18). 4504–4504. 1 indexed citations

Day, Nicholas, Tong Zhang, Matthew Gaffrey, et al.. (2022). A deep redox proteome profiling workflow and its application to skeletal muscle of a Duchenne Muscular Dystrophy model. Free Radical Biology and Medicine. 193(Pt 1). 373–384. 14 indexed citations

10.

Zeden, Merve S., Emilio Cendejas‐Bueno, Laura A. Gallagher, et al.. (2021). Accumulation of Succinyl Coenzyme A Perturbs the Methicillin-Resistant Staphylococcus aureus (MRSA) Succinylome and Is Associated with Increased Susceptibility to Beta-Lactam Antibiotics. mBio. 12(3). e0053021–e0053021. 22 indexed citations

11.

Nakayasu, Ernesto, Marina Gritsenko, Paul Piehowski, et al.. (2021). Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation. Nature Protocols. 16(8). 3737–3760. 153 indexed citations

12.

Lee, Ju Yeon, Tujin Shi, Vladislav Petyuk, et al.. (2020). Detection of Head and Neck Cancer Based on Longitudinal Changes in Serum Protein Abundance. Cancer Epidemiology Biomarkers & Prevention. 29(8). 1665–1672. 10 indexed citations

13.

Piehowski, Paul, Vladislav Petyuk, Ryan Sontag, et al.. (2018). Residual tissue repositories as a resource for population-based cancer proteomic studies. Clinical Proteomics. 15(1). 26–26. 34 indexed citations

14.

Shi, Tujin, Matthew Gaffrey, Thomas Fillmore, et al.. (2018). Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells. Communications Biology. 1(1). 103–103. 17 indexed citations

15.

Sigdel, Tara K., Yuqian Gao, Jintang He, et al.. (2016). Mining the human urine proteome for monitoring renal transplant injury. Kidney International. 89(6). 1244–1252. 67 indexed citations

16.

Kebaabetswe, Lemme P., Anoria K. Haick, Marina Gritsenko, et al.. (2015). Proteomic analysis reveals down-regulation of surfactant protein B in murine type II pneumocytes infected with influenza A virus. Virology. 483. 96–107. 5 indexed citations

17.

Zhang, Qibin, Thomas Fillmore, Athena Schepmoes, et al.. (2012). Serum proteomics reveals systemic dysregulation of innate immunity in type 1 diabetes. The Journal of Experimental Medicine. 210(1). 191–203. 78 indexed citations

18.

Gao, Xiaoli, Qibin Zhang, Da Meng, et al.. (2012). A reversed-phase capillary ultra-performance liquid chromatography–mass spectrometry (UPLC-MS) method for comprehensive top-down/bottom-up lipid profiling. Analytical and Bioanalytical Chemistry. 402(9). 2923–2933. 81 indexed citations

19.

Liu, Tao, Mahmud Hossain, Athena Schepmoes, et al.. (2012). Analysis of serum total and free PSA using immunoaffinity depletion coupled to SRM: correlation with clinical immunoassay tests. Journal of Proteomics. 75(15). 4747–4757. 38 indexed citations

20.

Kim, Jong‐Seo, Thomas Fillmore, Tao Liu, et al.. (2011). 18O-Labeled Proteome Reference as Global Internal Standards for Targeted Quantification by Selected Reaction Monitoring-Mass Spectrometry. Molecular & Cellular Proteomics. 10(12). M110.007302–M110.007302. 16 indexed citations

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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