Robert J. Millikin

1.0k total citations
21 papers, 634 citations indexed

About

Robert J. Millikin is a scholar working on Molecular Biology, Spectroscopy and Process Chemistry and Technology. According to data from OpenAlex, Robert J. Millikin has authored 21 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Spectroscopy and 2 papers in Process Chemistry and Technology. Recurrent topics in Robert J. Millikin's work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Robert J. Millikin is often cited by papers focused on Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Robert J. Millikin collaborates with scholars based in United States, Switzerland and Japan. Robert J. Millikin's co-authors include Lloyd M. Smith, Michael R. Shortreed, Stefan K. Solntsev, Rachel Miller, Mark Scalf, Leah V. Schaffer, Joseph Lin, Christopher L. Bianco, Yoshito Kumagai and Shuhei Soeda and has published in prestigious journals such as Journal of Biological Chemistry, Free Radical Biology and Medicine and Genome biology.

In The Last Decade

Robert J. Millikin

20 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Millikin United States 12 435 294 133 35 33 21 634
Zhichuan Zhu China 16 378 0.9× 127 0.4× 71 0.5× 17 0.5× 39 1.2× 26 687
Jicheng Duan United States 7 284 0.7× 136 0.5× 64 0.5× 17 0.5× 69 2.1× 11 395
Yepy H. Rustam Australia 7 420 1.0× 203 0.7× 30 0.2× 24 0.7× 13 0.4× 12 505
Guoping Li China 10 263 0.6× 126 0.4× 105 0.8× 25 0.7× 66 2.0× 24 526
Guadalupe Espadas Spain 13 430 1.0× 115 0.4× 17 0.1× 17 0.5× 63 1.9× 22 590
Jon P. Butler United States 9 352 0.8× 269 0.9× 10 0.1× 24 0.7× 23 0.7× 10 518
Hye Ryung Jung Denmark 7 586 1.3× 123 0.4× 23 0.2× 12 0.3× 16 0.5× 13 680
Jonathan M. Burg United States 8 347 0.8× 54 0.2× 93 0.7× 42 1.2× 15 0.5× 9 472
Xing‐Huang Gao United States 11 427 1.0× 32 0.1× 106 0.8× 7 0.2× 99 3.0× 14 552
Hyoung–Joo Lee South Korea 14 278 0.6× 156 0.5× 14 0.1× 22 0.6× 15 0.5× 23 402

Countries citing papers authored by Robert J. Millikin

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Millikin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert J. Millikin

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

All Works

20 of 20 papers shown
1.
Millikin, Robert J., Kalpana Raja, I. Ross, et al.. (2023). Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models. BMC Bioinformatics. 24(1). 412–412. 2 indexed citations
2.
Dai, Yuling, et al.. (2022). A Hybrid Spectral Library and Protein Sequence Database Search Strategy for Bottom-Up and Top-Down Proteomic Data Analysis. Journal of Proteome Research. 21(11). 2609–2618. 6 indexed citations
3.
Miller, Rachel, Ben T. Jordan, Erin D. Jeffery, et al.. (2022). Enhanced protein isoform characterization through long-read proteogenomics. Genome biology. 23(1). 47 indexed citations
4.
Miller, Rachel, Ben T. Jordan, Erin D. Jeffery, et al.. (2021). Enhanced Protein Isoform Characterization Through Long-Read Proteogenomics - Jurkat Samples and Reference Data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Kim, Sang Hwa, Mark Scalf, Peter Tonzi, et al.. (2021). Fused in sarcoma regulates DNA replication timing and kinetics. Journal of Biological Chemistry. 297(3). 101049–101049. 12 indexed citations
6.
Miller, Rachel, et al.. (2021). Enhanced Proteomic Data Analysis with MetaMorpheus. Methods in molecular biology. 2426. 35–66. 12 indexed citations
7.
Millikin, Robert J., Michael R. Shortreed, Mark Scalf, & Lloyd M. Smith. (2021). Fast, Free, and Flexible Peptide and Protein Quantification with FlashLFQ. Methods in molecular biology. 303–313. 4 indexed citations
8.
Shortreed, Michael R., Robert J. Millikin, Rachel Miller, et al.. (2021). Binary Classifier for Computing Posterior Error Probabilities in MetaMorpheus. Journal of Proteome Research. 20(4). 1997–2004. 2 indexed citations
9.
Cesnik, Anthony J., Rachel Miller, Lei Lü, et al.. (2020). Spritz: A Proteogenomic Database Engine. Journal of Proteome Research. 20(4). 1826–1834. 22 indexed citations
10.
Mehta, Subina, Robert J. Millikin, Ignacio Eguinoa, et al.. (2020). Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform. Proteomes. 8(3). 15–15. 10 indexed citations
11.
Schaffer, Leah V., Robert J. Millikin, Michael R. Shortreed, Mark Scalf, & Lloyd M. Smith. (2020). Improving Proteoform Identifications in Complex Systems Through Integration of Bottom-Up and Top-Down Data. Journal of Proteome Research. 19(8). 3510–3517. 24 indexed citations
12.
Millikin, Robert J., et al.. (2020). An Algorithm to Improve the Speed of Semi and Non-specific Enzyme Searches in Proteomics. Current Bioinformatics. 15(9). 1065–1074. 5 indexed citations
13.
Schaffer, Leah V., Rachel Miller, Robert J. Millikin, et al.. (2019). Constructing Human Proteoform Families Using Intact-Mass and Top-Down Proteomics with a Multi-Protease Global Post-Translational Modification Discovery Database. Journal of Proteome Research. 18(10). 3671–3680. 21 indexed citations
14.
Schaffer, Leah V., Robert J. Millikin, Rachel Miller, et al.. (2019). Identification and Quantification of Proteoforms by Mass Spectrometry. PMC.
15.
Schaffer, Leah V., Robert J. Millikin, Rachel Miller, et al.. (2019). Identification and Quantification of Proteoforms by Mass Spectrometry. PROTEOMICS. 19(10). e1800361–e1800361. 160 indexed citations
16.
Miller, Rachel, Robert J. Millikin, Stefan K. Solntsev, et al.. (2019). Improved Protein Inference from Multiple Protease Bottom-Up Mass Spectrometry Data. Journal of Proteome Research. 18(9). 3429–3438. 34 indexed citations
17.
Lü, Lei, Robert J. Millikin, Stefan K. Solntsev, et al.. (2018). Identification of MS-Cleavable and Noncleavable Chemically Cross-Linked Peptides with MetaMorpheus. Journal of Proteome Research. 17(7). 2370–2376. 44 indexed citations
18.
Millikin, Robert J., Stefan K. Solntsev, Michael R. Shortreed, & Lloyd M. Smith. (2017). Ultrafast Peptide Label-Free Quantification with FlashLFQ. Journal of Proteome Research. 17(1). 386–391. 71 indexed citations
19.
Millikin, Robert J., Christopher L. Bianco, Corey J. White, et al.. (2016). The chemical biology of protein hydropersulfides: Studies of a possible protective function of biological hydropersulfide generation. Free Radical Biology and Medicine. 97. 136–147. 87 indexed citations
20.
Nguyen, Q. Nhu N., Christopher L. Bianco, Shuhei Soeda, et al.. (2015). The chemical biology of hydropersulfides (RSSH): Chemical stability, reactivity and redox roles. Archives of Biochemistry and Biophysics. 588. 15–24. 62 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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