Robert L. Moritz

33.8k total citations · 5 hit papers
257 papers, 17.8k citations indexed

About

Robert L. Moritz is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Robert L. Moritz has authored 257 papers receiving a total of 17.8k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Molecular Biology, 110 papers in Spectroscopy and 39 papers in Immunology. Recurrent topics in Robert L. Moritz's work include Advanced Proteomics Techniques and Applications (99 papers), Mass Spectrometry Techniques and Applications (68 papers) and Metabolomics and Mass Spectrometry Studies (37 papers). Robert L. Moritz is often cited by papers focused on Advanced Proteomics Techniques and Applications (99 papers), Mass Spectrometry Techniques and Applications (68 papers) and Metabolomics and Mass Spectrometry Studies (37 papers). Robert L. Moritz collaborates with scholars based in United States, Australia and Switzerland. Robert L. Moritz's co-authors include Richard J. Simpson, Gavin E. Reid, Eric W. Deutsch, Suresh Mathivanan, Lisa Connolly, Zhi Sun, David L. Vaux, Miha Pakusch, Paul G. Ekert and John Silke and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert L. Moritz

252 papers receiving 17.5k citations

Hit Papers

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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.

Identification of DIABLO, a Mammalian Protein that Promotes Apoptosis by Binding to and Antagonizing IAP Proteins

2000 1.8k citations Robert L. Moritz, Richard J. Simpson et al. profile →
Exosomes: proteomic insights and diagnostic potential

2009 922 citations Richard J. Simpson, Robert L. Moritz et al. profile →
The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

2016 654 citations Eric W. Deutsch, Zhi Sun et al. profile →
The conserved SOCS box motif in suppressors of cytokine signaling binds to elongins B and C and may couple bound proteins to proteasomal degradation

1999 530 citations Richard J. Simpson, Robert L. Moritz et al. profile →
Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry

2024 56 citations Robert L. Moritz et al. profile →

Author Peers

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

Author						Papers	Cites
Robert L. Moritz	12.2k	3.8k	2.8k	2.5k	1.9k	257	17.8k
Michael P. Washburn	21.3k 1.7×	5.8k 1.5×	2.2k 0.8×	2.5k 1.0×	1.3k 0.7×	260	27.8k
Jacek R. Wiśniewski	12.4k 1.0×	5.2k 1.4×	1.3k 0.5×	1.9k 0.8×	1.2k 0.6×	174	18.2k
Yasushi Ishihama	13.7k 1.1×	6.2k 1.6×	1.3k 0.5×	1.2k 0.5×	1.0k 0.5×	253	21.5k
Joshua E. Elias	12.2k 1.0×	4.6k 1.2×	1.2k 0.4×	1.7k 0.7×	675 0.4×	97	16.3k
Scott A. Gerber	13.1k 1.1×	5.6k 1.5×	2.3k 0.8×	2.3k 0.9×	1.4k 0.7×	127	18.1k
Thomas P. Conrads	10.3k 0.8×	5.8k 1.5×	1.3k 0.5×	3.1k 1.3×	1.6k 0.9×	281	17.0k
Kris Gevaert	14.9k 1.2×	3.3k 0.9×	1.7k 0.6×	3.4k 1.4×	2.4k 1.3×	429	22.3k
Pauline M. Rudd	21.1k 1.7×	3.1k 0.8×	8.4k 3.1×	1.7k 0.7×	1.3k 0.7×	353	28.9k
Darryl Pappin	17.0k 1.4×	7.0k 1.9×	2.0k 0.7×	2.0k 0.8×	1.8k 0.9×	137	24.1k
Jens Andersen	12.7k 1.0×	2.0k 0.5×	1.2k 0.4×	2.2k 0.9×	1.4k 0.8×	190	20.2k

Countries citing papers authored by Robert L. Moritz

Since Specialization

Citations

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

Fields of papers citing papers by Robert L. Moritz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert L. Moritz

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

Riffle, Michael, Alex Zelter, Daniel Jaschob, et al.. (2025). Limelight: An Open, Web-Based Tool for Visualizing, Sharing, and Analyzing Mass Spectrometry Data from DDA Pipelines. Journal of Proteome Research. 24(4). 1895–1906. 1 indexed citations

Pinzon-Ortiz, Maria, Alida Coppi, Sachie Kanatani, et al.. (2024). The major surface protein of malaria sporozoites is GPI-anchored to the plasma membrane. Journal of Biological Chemistry. 300(8). 107557–107557. 3 indexed citations

Omenn, Gilbert S., Lydie Lane, Christopher M. Overall, et al.. (2024). The 2023 Report on the Proteome from the HUPO Human Proteome Project. Journal of Proteome Research. 23(2). 532–549. 11 indexed citations

Geyer, Philipp E., Daniel Hornburg, Maria Pernemalm, et al.. (2024). The Circulating Proteome─Technological Developments, Current Challenges, and Future Trends. Journal of Proteome Research. 23(12). 5279–5295. 12 indexed citations

Kertész‐Farkas, Attila, Jimmy K. Eng, William E. Fondrie, et al.. (2023). The Crux Toolkit for Analysis of Bottom-Up Tandem Mass Spectrometry Proteomics Data. Journal of Proteome Research. 22(2). 561–569. 9 indexed citations

Kusebauch, Ulrike, Lívia S. Zaramela, João Paulo P. de Almeida, et al.. (2023). A Genome-Scale Atlas Reveals Complex Interplay of Transcription and Translation in an Archaeon. mSystems. 8(2). e0081622–e0081622. 5 indexed citations

Prensner, John R., Jennifer G. Abelin, Karl R. Clauser, et al.. (2023). What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?. Molecular & Cellular Proteomics. 22(9). 100631–100631. 46 indexed citations

Kusebauch, Ulrike, David Campbell, Min Pan, et al.. (2023). A comprehensive spectral assay library to quantify the Halobacterium salinarum NRC-1 proteome by DIA/SWATH-MS. Scientific Data. 10(1). 697–697.

Burns, Adam R., Jack Wiedrick, Michal Maes, et al.. (2023). Proteomic changes induced by longevity-promoting interventions in mice. GeroScience. 46(2). 1543–1560. 2 indexed citations

10.

Zhang, Yuhang, Michael R. Hoopmann, Peter J. Castaldi, et al.. (2021). Lung proteomic biomarkers associated with chronic obstructive pulmonary disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 321(6). L1119–L1130. 27 indexed citations

11.

Gladyshev, Vadim N., Stephen B. Kritchevsky, Steven Clarke, et al.. (2021). Molecular damage in aging. Nature Aging. 1(12). 1096–1106. 90 indexed citations

12.

Deutsch, Eric W., Gilbert S. Omenn, Zhi Sun, et al.. (2021). Advances and Utility of the Human Plasma Proteome. Journal of Proteome Research. 20(12). 5241–5263. 121 indexed citations

13.

Midha, Mukul K., Ulrike Kusebauch, David Shteynberg, et al.. (2020). A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS. Scientific Data. 7(1). 389–389. 29 indexed citations

14.

Omenn, Gilbert S., Lydie Lane, Christopher M. Overall, et al.. (2020). Research on the Human Proteome Reaches a Major Milestone: >90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project. Journal of Proteome Research. 19(12). 4735–4746. 30 indexed citations

15.

Potriquet, Jeremy, Alok K. Shah, Sarah Reed, et al.. (2020). A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics. Scientific Data. 7(1). 412–412. 10 indexed citations

16.

Shears, Melanie J., Raja Sekhar Nirujogi, Kristian E. Swearingen, et al.. (2019). Proteomic Analysis of Plasmodium Merosomes: The Link between Liver and Blood Stages in Malaria. Journal of Proteome Research. 18(9). 3404–3418. 24 indexed citations

17.

Müller, Ivo, Aaron R. Jex, Stefan H. I. Kappe, et al.. (2019). Transcriptome and histone epigenome of Plasmodium vivax salivary-gland sporozoites point to tight regulatory control and mechanisms for liver-stage differentiation in relapsing malaria. International Journal for Parasitology. 49(7). 501–513. 33 indexed citations

18.

Deutsch, Eric W., Lydie Lane, Christopher M. Overall, et al.. (2019). Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. Journal of Proteome Research. 18(12). 4108–4116. 85 indexed citations

19.

McCord, James, Zhi Sun, Eric W. Deutsch, Robert L. Moritz, & David C. Muddiman. (2017). The PeptideAtlas of the Domestic Laying Hen. Journal of Proteome Research. 16(3). 1352–1363. 5 indexed citations

20.

Klemenz, R, Erika Fröhli, Akira Aoyama, et al.. (1991). αB Crystallin Accumulation Is a Specific Response to Ha- ras and v- mos Oncogene Expression in Mouse NIH 3T3 Fibroblasts. Molecular and Cellular Biology. 11(2). 803–812. 91 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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